Next Article in Journal
Development of a Simple Fabrication Method for Magnetic Micro Stir Bars and Induction of Rotational Motion in Chlamydomonas reinhardtii
Next Article in Special Issue
A High Quality-Factor Optical Modulator with Hybrid Graphene-Dielectric Metasurface Based on the Quasi-Bound States in the Continuum
Previous Article in Journal
Sensors for Detection of the Synthetic Dye Rhodamine in Environmental Monitoring Based on SERS
Previous Article in Special Issue
Design of Low-RCS Broadband High-Gain Antennas Based on Transmission Array Metasurface
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Parameters and Measurement Techniques of Reconfigurable Intelligent Surfaces

1
Smart Natural Space Research Centre, Kongju National University, Cheonan 31080, Korea
2
Department of Smart Information Technology Engineering, Kongju National University, Cheonan 31080, Korea
*
Author to whom correspondence should be addressed.
Micromachines 2022, 13(11), 1841; https://doi.org/10.3390/mi13111841
Submission received: 30 September 2022 / Revised: 20 October 2022 / Accepted: 25 October 2022 / Published: 27 October 2022

Abstract

:
Reconfigurable intelligent surface (RIS)-aided wireless communications systems are one the promising wireless communication system where the wave can be guided by the RIS. It is envisioned that beyond-5G/6G communication will have a low-cost, high spectral efficiency, high energy efficiency, and smart wireless environment. In this paper, initially, different measurement techniques of the RIS have been discussed, which are available in the literature. Then, a new type of RIS has been proposed. Finally, a different parameter measurement technique for our proposed RIS has been presented. A low-cost FR4 substrate with a height of 1.6 mm was considered to design the RIS in the sub-6 GHz frequency band. Another important thing is that our proposed IRS is a single-layer substrate backed by a copper plate. The area of each unit cell was 42 mm × 42 mm. The RIS was designed to operate at the central frequency of the 3.5 GHz frequency band. The novelty of the proposed RIS is that it is a polarization-independent structure. Thus, polarization-related losses can be overcome using this structure. A 10×10-unit cell array was designed to check the radiation performance. The magnitude of the reflection coefficients was measured in our laboratory for the proposed configuration.

1. Introduction

Wireless communication engineers have imagined the seamless connectivity of current 5G and future 6G cellular communications for everyone and everything [1,2]. Currently, the 5G communications system uses massive multiple-input multiple-output (MIMO), where 64 or more antenna elements are being used to send the beam in the desired direction [3,4]. Using this technique, efficiency can be improved significantly. However, 6G will have some applications such as augmented reality [5], virtual reality [6], mixed reality, brain–computer interface [7], autonomous cars [8], connected robotics, connected unmanned aerial vehicles [9], connected satellites, etc. Current 5G communications cannot fully support those applications. It is envisioned that 6G communications will have ultra-reliability ultra-low latency (end-to-end latency 0.1 ms) [10], higher data rate (peak data rate 1000 Gb/s) [10], energy-efficient and spectral-efficient communication systems, etc. To meet the demands of such applications and such specifications, it is necessary to adopt a new type of communications system where the waves can be guided.
It is envisioned that beyond-5G/6G communications will be guided communications where the wave will be guided by the reconfigurable intelligent surfaces (RIS) [11,12,13]. The RISs generally consist of a metasurface, which is of subwavelength planar or quasi-planar unit cells, and the 2D equivalent of metamaterial [14,15]. The properties of the metamaterials and metasurface are not found in nature, it is an engineered structure. The unique properties of the metasurface or metamaterial can be used to achieve different applications such as cloaking illusions to holograms, real-time reconfiguration of wireless environments, etc. [16,17,18,19,20].
In recent years, there has been significant growth in research activity in this area [21,22,23,24]. RIS is a reflector to assist the existing communication by reflecting the incoming signal in the desired direction. It is possible to enhance the energy and spectral efficiency significantly using RIS-aided communications. The secrecy rate of a channel can be improved using RIS. Cogitative radio and non-orthogonal multiple access are other applications where RIS is very useful. RIS consist of a large number of unit cells, and each unit cell can tune the phase or magnitude of the reflected wave. This RIS can be placed on the wall of any building, and these are cost-effective and low-power consumption devices. The signal-to-noise ratio can be improved significantly to the desired location using RIS while suppressing co-channel interference. Hence, significantly improved communication performance can be obtained using RIS without additional antennas.
Recently, there have been some publications on the hardware aspect of the RIS for beyond 5G/6G applications, and several papers have discussed measurement techniques of RIS performances. In [25], the authors used varactor diodes to design RIS in the sub-6 GHz frequency band. Overall, 2430-unit cells were considered to design the RIS. To measure the performance of the RIS, the authors placed the transmitting horn antenna 30 m from the RIS. The authors used software define radio (SDR) to send a video signal using QPSK modulations. In [26], the authors proposed varactor diodes based on an RIS working at 5.8 GHz. The proposed RIS had a total of 1100 controllable unit cells. The channel reciprocity and reflection coefficient was measured using a vector network analyzer. In that experiment, the horn antenna was placed very close to RIS. The authors also tested the RIS in a long-distance measurement scenario with a distance of 50 m and 500 m. A spectrum analyzer was used in the outdoor environment to measure the spectrum of the received signal. In [27], the authors proposed a 256 elements new type of high-gain yet low-cost RIS that combines the functions of phase shift and radiation on an electromagnetic surface. The 2-bit operation was conceived using PIN diodes for beamforming operations. In [28], the authors proposed a new type of PIN diode-based RIS working at mmWave. The authors measured the reflection property of the unit cell using a WR-34 rectangular waveguide. The waveguide was connected to Rohde & Schwarz ZVA-40 vector network. After that, an FPGA control board was used to connect each unit cell of the RIS. There was a total of four ports in the control board, which can connect to four independent RIS. Lastly, the control board was connected to the desktop using a USB interface or LAN interface. MATLAB code or Phyton code was used to control the FPGA board and, consequently, each unit cell of the RIS. In [29], the authors proposed a new type of unit cell working at 5.4 GHz. The authors used computer vision to aid the RIS for dynamic beam tracking. A camera was used on the RIS to track the visual information of the surrounding area, and the reflected beam was able to go in the desired direction. A 20 × 20 RIS was fabricated, and the performance of the RIS was verified. The authors utilized a machine learning algorithm to calculate the vision disparity. The proposed RIS worked under near-field conditions and far-field conditions. The RIS can work as a passive array for beam-forming operations in one case, and in another case, the RIS assists the communication between the base station and user equipment. To test the performance of the RIS, two horn antenna and an FPGA board was used. In [30], the authors proposed PIN diodes based on 160 elements of RIS working at 5.8 GHz. To test the RIS’s performance, the authors initially placed the RIS in an anechoic chamber and used horn antennas. The authors also undertook a field test of the proposed RIS. In [31], the authors proposed a high-accuracy 2-bit RIS. To check the performance of the RIS, an FPGA board, a module for demultiplexing, a transmitting antenna, and two receiving antennae were used. Each element of the RIS could be controlled by FPGA through DuPont l. To overcome path loss and shadowing effects, the authors proposed RIS-aided communications by using a compress sensing-based algorithm [32]. The steering capabilities of the RIS were verified by measuring the radiation pattern of the RIS. Software defined radio NI USRP 2944, pair of horn antennae for transmitting and receiving the signal were used to measure the parameters of the RIS. Not only reflective types of RIS but also transmissive types of RISs are also going to play a very significant role in beyond-5G/6G communications. In [33], a new type of 2-bit transmissive RIS was proposed. To measure the properties of the RIS, both the receiver and transmitter used an SDR platform. There were transmitter hosts, FPGA, the analog to digital converter, mmWave upconverter, and a horn antenna in the transmitter section. In the receiver section, there were receiver hosts, the FPGA, digital-to-analog converter, mmWave down converter, and a horn antenna. In [34], the authors proposed a 3-bit reconfigurable digital metasurface. To experimentally characterize, the authors fabricated a 6×6 array of the unit cell containing a total of 144 varactor diodes. The receiving and transmitting horn antennas were connected to the two ports of the VNA to measure the complex forward transmission coefficient. To provide eight stable DC voltages to the metasurface, a power supply was connected. In [35], the authors proposed a multi-bit RIS capable of beam steering at the sub-6 GHz frequency band. To measure the performance of the RIS, a USRP-based communication link was used in different scenarios, such as indoor mixed LoS/NLoS, corridor junctions, and multiple floors. In [36], metamaterial-based RIS was proposed based on the 3D use of 3D graphene meta-atoms. The reconfigurability of the RIS can be achieved by setting the discrete state (ON/OFF) of the graphene. A new type of RIS surface with sensing capabilities was proposed in [37]. A small portion of the signal was coupled, and it was used to sense the angle of arrival of the incoming signal. In [38], an RF switch-based RIS was proposed, which enables a passive type of 3D beam, forming without the use of any active RF components. To measure the performance of the proposed RIS, the authors mounted the RIS on a controller remotely from a master PC. Two SDR devices were attached to a horn antenna with a gain of 13.5 dBi. Vanadium dioxide is a promising material for RIS. In [39], authors proposed a vanadium dioxide-based RIS for 5G applications. Metal-to-insulator property of the vanadium dioxide was used for the reconfigurable operations. In [40], the authors reported a prototype of a RIS engineered to operate in the frequency range of 5.15–5.75 GHz.
In this paper, a new type of passive unit cells has been proposed, which is polarization independent by nature. The polarization independence feature allows the acceptance of any type of incoming polarization without any polarization-related losses. The unit cells can be arranged in a particular manner to achieve passive-type RIS. The reconfigurability of the proposed RIS can be achieved by rotating the RIS using a mechanical motor. We have designed this type of RIS mainly to measure the different parameters of the RIS and set up a measurement environment in our laboratory for any kind of RIS measurement. We have checked the different parameters of our proposed RIS.

2. Design of Unit-Cells

The unit cell for the proposed RIS was designed at the center frequency of 3.5 GHz. The size of the unit cell was 42 mm × 42 mm. A low-cost FR4 substrate with a thickness of 1.6 mm, loss tangent of 0.002, and dielectric constant of 4.4 was considered for our design. The single-element unit cell was taken as a base element for the RIS design. Initially, a circular patch with a radius of 10 mm was taken on the FR4 substrate, as shown in Figure 1a. There was a copper plate below 10 mm from the dielectric for the reflections of the incoming waves. This type of unit cell was considered for the RIS design due to its simple construction and low cost. The circular-type patch and the circular type-patch with a ring were chosen to make the structure polarization independent. Polarization-mismatch related losses can be overcome using this type of polarization-independent structure. Figure 1b shows the circular patch with a circular type of ring to achieve a similar type of magnitude of the reflection coefficient, but almost 180° shifted phase. The magnitude and phase of the S11 parameters for the unit cell of circular type patch are shown in Figure 2a,b, respectively, for both the TE and TM mode. The polarization-independent nature of the unit cell can be verified from their modes. It was observed from Figure 2 that the magnitude of the reflection coefficient was −0.29 dB for both TE and TM modes at 3.5 GHz. The phase of the reflection coefficient was −5° for both TE and TM modes at 3.5 GHz. Figure 3a,b show the magnitude and phase of the reflection coefficient at 3.5 GHz for both TE and TM modes. The magnitude and phase of the reflection coefficient were −1.6 dB and −152°, respectively, for both TE and TM modes. The performance of the unit cells under different angles is a very important factor. The performances of unit cells under incidence angle of 0°,10°, 20°,30°, and 40° has been presented here for both types of unit cells. Figure 4a,b show the magnitude and phase of the circular type of patch unit cell for 0°,10°, 20°,30°, and 40° angles of incidences. It can be observed from these Figures that there are no significant changes in the performances of the unit cells under the different angles of incidence. Figure 5a,b show the magnitude and phase of the circular type of patch with a ring unit cell for 0°,10°, 20°,30°, and 40° angles of incidences. In this case, the performances of the unit cell were also not changed significantly. Input impedances of the circular type of unit cell and circular type of unit cell with a ring are presented in Figure 6a,b, respectively.

3. Radiation Performance Test for 10×10 Unit Cells

To check the radiation performance of the unit cells, we took the arrays of the 10×10-unit cells shown in Figure 7. Figure 7a shows the circular patch type 10×10-unit cells while Figure 7b and Figure 8 show the circular type of patch with a ring 10×10-unit cells and the combined type of the 10×10-unit cells array, respectively. Standard horn antennas working at 3.5 GHz were in our design. The radiation from the standard horn antenna was impinging upon the 10×10-unit cells. We studied the reflected radiation patterns for the 10×10 circular patch array, 10×10 circular path with ring array, and 10×10 combined array. It is noted that the radiation pattern performances for these types of arrays are not very important. We have still included the radiation patterns for all those arrays. The real-time communication performances using those arrays are very important to study for such types of arrays. However, in this paper, the real-time performances using communications links are not presented. To check the radiation performances of these arrays, a standard horn antenna working at 3.5 GHz was considered. For the 10×10 circular patch type array, there was a transmitting horn antenna which was placed at an angle of 30° from the array. The waves were impinging on the surface of the arrays and were reflecting from the surface. To collect the reflected signal from the array, a receiving horn antenna was placed at −30° with the array. The same procedure was followed for the 10×10 circular patch type with a ring array. However, for the combined 10×10 arrays, the transmitting horn antenna was placed at an angle of 0° to the combined 10×10 arrays while the receiving antenna was at a certain angle. Figure 9a shows the reflected radiation pattern from the 10×10 circular type of array, while Figure 9b,c show the reflected radiation patterns from the 10×10 circular type with a ring array and the combined array, respectively. The peak gain of the incident pattern was 13.2 dBi for both φ = 0° and φ = 90° planes for all three cases. The peak gains for the reflected patterns for the circular type of patch and circular type of patch with a ring were 11.2 dBi and 18.1 dBi, respectively. The proposed fabricated arrays are shown in Figure 10. Figure 10a–c show the fabricated 10×10 circular type patch type of arrays, circular type of array with a ring, and combined structure, respectively.

4. Measurement Technique of Our Proposed RIS

Figure 11 shows the measurement setup to measure the different parameters. The proposed 10×10 circular type patch array or the 10×10 circular path array with a ring, or the 10×10 combined array can be placed middle of the main absorbing material, as shown in Figure 11. There were several absorbers left side and right side of the main absorber. Additionally, there were absorbers on the ground. The purpose of adding more absorbers is to reduce the unwanted radiation from outside as well as reduce the reflection from the wall of the room. As shown in Figure 11, two standard horn antennas working at 3.5 GHz were considered to measure the different parameters of the 10×10 arrays. The antennas were connected to the vector network analyzer (VNA) to measure the reflection coefficients of the proposed arrays. To measure the reflection coefficients of three types of 10×10 arrays, initially, the transmitting horn antenna was placed at an angle of 10°, and the received powers were measured using a similar type of horn antenna at an angle of −10°. Figure 12 shows the measured reflection coefficients for three different cases at an angle of incidence of 10°, while Figure 13 shows the reflection coefficients for three cases at an angle of incidence of 30°. It is to be noted that the reflection coefficients for the combined 10×10 array were very low. This is because the beam is steered at a different angle for the combined 10×10 array. To achieve an actual good reflection coefficient for the combined 10×10 array, the receiving horn antenna needs to be placed at the steered beam position. However, in this paper, this type of measurement was not performed. Initially, a 10×10 circular type patch was designed, and the performances of the 10×10 circular type patch were tested. From the 10×10 circular type patch, it was observed that the 10×10 patch was working as a good reflector. After that, a 10×10 circular type of patch with a ring was designed and the performance of the structure was tested. It was also observed that the 10×10 circular type of patch with a ring was working as a good reflector. The unit cell of the circular-type patch with a ring has a very significant phase difference from the phase of the unit cell of the circular type. By combining these two types of unit cells, it is possible to achieve a scanned beam. A 10×10 combined array was taken so that a well-scanned beam could be obtained from the structure.
Table 1 shows the comparison of the RIS available in the literature with our proposed structure [25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40]. From the table, it can be seen that our proposed structure has some advantages. Our proposed structure has no PIN or varactor diodes. The reconfigurability of the structure can be achieved by machinal rotating the structure. Our proposed structure has only a single layer backed by the copper plate. Thus, it is very easy to fabricate, and it is cost-effective. Additionally, we do not need any complicated external controller for our structure.

5. Conclusions

In this paper, a polarization-independent passive type RIS has been proposed. The reconfigurability can be achieved by rotating the RIS 0°, 90°, 180°, and 270°. The unit cells were simulated, and the performance of two types of unit cells has been presented in this paper. There are some circumstances where mechanical rotating RIS is very useful compared to the PIN diode or varactor diode-based RIS. The unit cells are very simple, and it is very easy to fabricate. As the substrate to design this RIS was FR4, it is very cost-effective. We have studied the preface of the unit cells under the different angles of incidence, and it was observed that there were no significant changes in the unit cell performances under the different angles of incidence. Three types of 10×10 arrays were fabricated, and the performance of each type of array has been verified. The unit cells and arrays were designed at 3.5 GHz for sub-6 GHz frequency applications.

Author Contributions

I.-P.H. conceived this project and contributed to solving the problem, reviewing and editing, and validating the results. B.R. conducted simulations and wrote this paper. S.-S.C. conducted a simulation and measured the performances. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported in part by the Basic Science Research Program under Grant 2020R1I1A3057142, in part by the Priority Research Center Program through the National Research Foundation under Grant 2019R1A6A1A03032988, and in part by the Underground City of the Future Program funded by the Ministry of Science and ICT.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. David, K.; Berndt, H. 6G vision and requirements: Is there any need for beyond 5G? IEEE Veh. Technol. Mag. 2018, 13, 72–80. [Google Scholar] [CrossRef]
  2. Chen, S.; Liang, Y.C.; Sun, S.; Kang, S.; Cheng, W.; Peng, M. Vision, requirements, and technology trend of 6G: How to tackle the challenges of system coverage, capacity, user data-rate and movement speed. IEEE Wirel. Commun. 2020, 27, 218–228. [Google Scholar] [CrossRef] [Green Version]
  3. Lu, L.; Li, G.Y.; Swindlehurst, A.L.; Ashikhmin, A.; Zhang, R. An overview of massive MIMO: Benefits and challenges. IEEE J. Sel. Top. Signal Process. 2014, 8, 742–758. [Google Scholar] [CrossRef]
  4. Larsson, E.G.; Edfors, O.; Tufvesson, F.; Marzetta, T.L. Massive MIMO for next generation wireless systems. IEEE Commun. Mag. 2014, 52, 186. [Google Scholar] [CrossRef] [Green Version]
  5. Bhattacharya, P.; Saraswat, D.; Dave, A.; Acharya, M.; Tanwar, S.; Sharma, G.; Davidson, I.E. Coalition of 6G and blockchain in AR/VR space: Challenges and future directions. IEEE Access 2021, 9, 168455–168484. [Google Scholar] [CrossRef]
  6. Fantacci, R.; Picano, B. Edge-Based Virtual Reality over 6G Terahertz Channels. IEEE Netw. 2021, 35, 28–33. [Google Scholar] [CrossRef]
  7. Rana, B.; Shim, J.Y.; Chung, J.Y. An implantable antenna with broadside radiation for a brain—Machine interface. IEEE Sens. J. 2019, 19, 9200–9205. [Google Scholar] [CrossRef]
  8. Xiong, K.; Leng, S.; Chen, X.; Huang, C.; Yuen, C.; Guan, Y.L. Communication and computing resource optimization for connected autonomous driving. IEEE Trans. Veh. Technol. 2020, 11, 12652–12663. [Google Scholar] [CrossRef]
  9. Bajracharya, R.; Shrestha, R.; Kim, S.; Jung, H. 6G NR-U Based Wireless Infrastructure UAV: Standardization, Opportunities, Challenges and Future Scopes. IEEE Access 2022, 10, 30536–30555. [Google Scholar] [CrossRef]
  10. Akyildiz, I.F.; Kak, A.; Nie, S. 6G and beyond: The future of wireless communications systems. IEEE Access 2020, 21, 133995–134030. [Google Scholar] [CrossRef]
  11. Gong, S.; Lu, X.; Hoang, D.T.; Niyato, D.; Shu, L.; Kim, D.I.; Liang, Y.C. Toward smart wireless communications via intelligent reflecting surfaces: A contemporary survey. IEEE Commun. Surv. Tutor. 2020, 22, 2283–2314. [Google Scholar] [CrossRef]
  12. Di Renzo, M.; Zappone, A.; Debbah, M.; Alouini, M.S.; Yuen, C.; De Rosny, J.; Tretyakov, S. Smart radio environments empowered by reconfigurable intelligent surfaces: How it works, state of research, and the road ahead. IEEE J. Sel. Areas Commun. 2020, 38, 2450–2525. [Google Scholar] [CrossRef]
  13. Wu, Q.; Zhang, R. Towards smart and reconfigurable environment: Intelligent reflecting surface aided wireless network. IEEE Commun. Mag. 2019, 58, 106–112. [Google Scholar] [CrossRef] [Green Version]
  14. Holloway, C.L.; Kuester, E.F.; Gordon, J.A.; O’Hara, J.; Booth, J.; Smith, D.R. An overview of the theory and applications of metasurfaces: The two-dimensional equivalents of metamaterials. IEEE Antennas Propag. Mag. 2012, 54, 10–35. [Google Scholar] [CrossRef]
  15. Holloway, C.L.; Love, D.C.; Kuester, E.F.; Gordon, J.A.; Hill, D.A. Use of generalized sheet transition conditions to model guided waves on metasurfaces/metafilms. IEEE Trans. Antennas Propag. 2012, 60, 5173–5186. [Google Scholar] [CrossRef]
  16. Smy, T.J.; Rahmeier, J.G.; Dugan, J.; Gupta, S. Part II-Spatially Dispersive Metasurfaces: IE-GSTC-SD Field Solver with Extended GSTCs. IEEE Trans. Antennas Propag. 2022. [Google Scholar] [CrossRef]
  17. Fleury, R.; Monticone, F.; Alù, A. Invisibility and cloaking: Origins, present, and future perspectives. Phys. Rev. Appl. 2015, 4, 037001. [Google Scholar] [CrossRef] [Green Version]
  18. Turpin, J.P.; Bossard, J.A.; Morgan, K.L.; Werner, D.H.; Werner, P.L. Reconfigurable and tunable metamaterials: A review of the theory and applications. Int. J. Antennas Propag. 2014, 2014, 429837. [Google Scholar] [CrossRef] [Green Version]
  19. Smy, T.J.; Gupta, S. Surface susceptibility synthesis of metasurface skins/holograms for electromagnetic camouflage/illusions. IEEE Access 2020, 18, 226866–226886. [Google Scholar] [CrossRef]
  20. Smy, T.J.; Stewart, S.A.; Gupta, S. Surface susceptibility synthesis of metasurface holograms for creating electromagnetic illusions. IEEE Access 2020, 18, 93408–93425. [Google Scholar] [CrossRef]
  21. Sugiura, S.; Kawai, Y.; Matsui, T.; Lee, T.; Iizuka, H. Joint beam and polarization forming of intelligent reflecting surfaces for wireless communications. IEEE Trans. Veh. Technol. 2021, 70, 1648. [Google Scholar] [CrossRef]
  22. Yurduseven, O.; Assimonis, S.D.; Matthaiou, M. Intelligent reflecting surfaces with spatial modulation: An electromagnetic perspective. IEEE Open J. Commun. Soc. 2020, 1, 1256. [Google Scholar] [CrossRef]
  23. Tuan, V.P.; Hong, I.-P. Secrecy performance analysis and optimization of intelligent reflecting surface-aided indoor wireless communications. IEEE Access 2020, 8, 109440. [Google Scholar] [CrossRef]
  24. Di, B.; Zhang, L.; Song, L.; Li, Y.; Han, Z.; Poor, H.V. Hybrid beamforming for reconfigurable intelligent surface based multi-user communications: Achievable rates with limited discrete phase shifts. IEEE J. Sel. Areas Commun. 2020, 8, 1809. [Google Scholar] [CrossRef]
  25. Araghi, A.; Khalily, M.; Safaei, M.; Bagheri, A.; Sing, V.; Wang, F.; Tafazolli, R. Reconfigurable intelligent surface (RIS) in the sub-6 GHz band: Design, implementation, and real-world demonstration. IEEE Access 2022, 10, 2646. [Google Scholar] [CrossRef]
  26. Pei, X.; Yin, H.; Tan, L.; Cao, L.; Li, Z.; Wang, K.; Zhang, K.; Bjornson, E. RIS-aided wireless communications: Prototyping, adaptive beamforming, and indoor/outdoor field trials. IEEE Trans. Commun. 2021, 69, 8627. [Google Scholar] [CrossRef]
  27. Dai, L.; Wang, B.; Wang, M.; Yang, X.; Tan, J.; Bi, S.; Xu, S.; Yang, F.; Chen, Z.; Di Renzo, M.; et al. Reconfigurable intelligent surface-based wireless communications: Antenna design, prototyping, and experimental results. IEEE Access 2020, 8, 45913–45923. [Google Scholar] [CrossRef]
  28. Gros, J.B.; Popov, V.; Odit, M.A.; Lenets, V.; Lerosey, G. A reconfigurable intelligent surface at mmWave based on a binary phase tunable metasurface. IEEE Open J. Commun. Soc. 2021, 2, 1055–1064. [Google Scholar] [CrossRef]
  29. Ouyang, M.; Wang, Y.; Gao, F.; Zhang, S.; Li, P.; Ren, J. Computer vision-aided reconfigurable intelligent surface-based beam tracking: Prototyping and experimental Results. arXiv 2022, arXiv:2207.05032. [Google Scholar] [CrossRef]
  30. Trichopoulos, G.C.; Theofanopoulos, P.; Kashyap, B.; Shekhawat, A.; Modi, A.; Osman, T.; Kumar, S.; Sengar, A.; Chang, A.; Alkhateeb, A. Design and evaluation of reconfigurable intelligent surfaces in real-world environment. IEEE Open J. Commun. Soc. 2022, 3, 462–474. [Google Scholar] [CrossRef]
  31. Zeng, X.; Hu, Q.; Mao, C.; Yang, H.; Wu, Q.; Tang, J.; Zhao, X.L.; Zhang, X.Y. High-accuracy reconfigurable intelligent surface using independently controllable methods. In Proceedings of the 2021 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM), Guangzhou, China, 28–30 November 2021; pp. 1–3. [Google Scholar] [CrossRef]
  32. Amri, M.M.; Tran, N.M.; Choi, K.W. Reconfigurable intelligent surface-aided wireless communications: Adaptive beamforming and experimental validations. IEEE Access 2021, 9, 147442–147457. [Google Scholar] [CrossRef]
  33. Tang, J.; Cui, M.; Xu, S.; Dai, L.; Yang, F.; Li, M. Transmissive RIS for 6G Communications: Design, Prototyping, and Experimental Demonstrations. arXiv 2022, arXiv:2206.15133. [Google Scholar] [CrossRef]
  34. Zhao, S.; Langwieser, R.; Mecklenbraeuker, C.F. Reconfigurable digital metasurface for 3-bit phase encoding. In Proceedings of the WSA 2021 25th International ITG Workshop on Smart Antennas, Riviera, France, 10–12 November 2021; pp. 1–6. [Google Scholar]
  35. Rains, J.; Tukmanov, A.; Cui, T.J.; Zhang, L.; Abbasi, Q.H.; Imran, M.A. High-resolution programmable scattering for wireless coverage enhancement: An indoor field trial campaign. arXiv 2021, arXiv:2112.11194. [Google Scholar] [CrossRef]
  36. Molero, C.; Palomares-Caballero, Á.; Alex-Amor, A.; Parellada-Serrano, I.; Gamiz, F.; Padilla, P.; Valenzuela-Valdés, J.F. Metamaterial-based reconfigurable intelligent surface: 3D meta-atoms controlled by graphene structures. IEEE Commun. Mag. 2021, 59, 42–48. [Google Scholar] [CrossRef]
  37. Alamzadeh, I.; Alexandropoulos, G.C.; Shlezinger, N.; Imani, M.F. A reconfigurable intelligent surface with integrated sensing capability. Sci. Rep. 2021, 11, 20737. [Google Scholar] [CrossRef]
  38. Rossanese, M.; Mursia, P.; Garcia-Saavedra, A.; Sciancalepore, V.; Asadi, A.; Costa-Perez, X. Designing, building, and characterizing RF switch-based reconfigurable intelligent surfaces. arXiv 2022, arXiv:2207.07121. [Google Scholar] [CrossRef]
  39. Matos, R.; Pala, N. VO2-based ultra-reconfigurable intelligent reflective surface for 5G applications. Sci. Rep. 2022, 12, 4497. [Google Scholar] [CrossRef]
  40. Fara, R.; Ratajczak, P.; Phan-Huy, D.T.; Ourir, A.; Di Renzo, M.; De Rosny, J. A prototype of reconfigurable intelligent surface with continuous control of the reflection phase. IEEE Wirel. Commun. 2022, 29, 70–77. [Google Scholar] [CrossRef]
Figure 1. Top view and side view of the unit cell (a) circular patch (b) circular patch with a ring.
Figure 1. Top view and side view of the unit cell (a) circular patch (b) circular patch with a ring.
Micromachines 13 01841 g001
Figure 2. Circular type of patch (a) magnitude of S11 (b) phase of S11.
Figure 2. Circular type of patch (a) magnitude of S11 (b) phase of S11.
Micromachines 13 01841 g002
Figure 3. Circular patch with a ring (a) magnitude of S11 (b) phase of S11.
Figure 3. Circular patch with a ring (a) magnitude of S11 (b) phase of S11.
Micromachines 13 01841 g003
Figure 4. Circular type of patch (a) magnitude of S11 for different angles of incidence (b) phase of S11 for different angles of incidence.
Figure 4. Circular type of patch (a) magnitude of S11 for different angles of incidence (b) phase of S11 for different angles of incidence.
Micromachines 13 01841 g004
Figure 5. Circular patch with a ring (a) magnitude of S11 for different angles of incidence (b) phase of S11 for different angles of incidence.
Figure 5. Circular patch with a ring (a) magnitude of S11 for different angles of incidence (b) phase of S11 for different angles of incidence.
Micromachines 13 01841 g005
Figure 6. The magnitude of the input impedance of the (a) circular patch and (b) circular patch with a ring.
Figure 6. The magnitude of the input impedance of the (a) circular patch and (b) circular patch with a ring.
Micromachines 13 01841 g006
Figure 7. 10×10-unit cells array (a) circular type patch (b) circular type patch with a ring.
Figure 7. 10×10-unit cells array (a) circular type patch (b) circular type patch with a ring.
Micromachines 13 01841 g007
Figure 8. 10×10-unit cell array with combined structure.
Figure 8. 10×10-unit cell array with combined structure.
Micromachines 13 01841 g008
Figure 9. Radiation patterns (a) 10×10 circular type patch array (b) 10×10 circular type patch with a ring array (c) 10×10 combined array.
Figure 9. Radiation patterns (a) 10×10 circular type patch array (b) 10×10 circular type patch with a ring array (c) 10×10 combined array.
Micromachines 13 01841 g009
Figure 10. Fabricated prototypes (a) 10×10 circular type patch array (b) 10×10 circular type patch with a ring array (c) 10×10 combined array.
Figure 10. Fabricated prototypes (a) 10×10 circular type patch array (b) 10×10 circular type patch with a ring array (c) 10×10 combined array.
Micromachines 13 01841 g010
Figure 11. Measurement setup to measure different parameters.
Figure 11. Measurement setup to measure different parameters.
Micromachines 13 01841 g011
Figure 12. Measured reflection coefficients for three different types of arrays at an incident angle of 10°.
Figure 12. Measured reflection coefficients for three different types of arrays at an incident angle of 10°.
Micromachines 13 01841 g012
Figure 13. Measured reflection coefficients for three different types of arrays at an incident angle of 30°.
Figure 13. Measured reflection coefficients for three different types of arrays at an incident angle of 30°.
Micromachines 13 01841 g013
Table 1. Comparison of different types of RIS proposed in the literature.
Table 1. Comparison of different types of RIS proposed in the literature.
Ref.Nature of Unit CellYearTunning Method Freq.Comments
[25]D-type patch2022Varactor diode3.5 GHzExpensive to fabricate and need an expensive external control board
[26]Normal patch2021Varactor diode5.8 GHzExpensive to fabricate and need an expensive external control board
[27]Patch2020PIN diode2.3 GHz, 28.5 GHzVery complicated structure and need an external controller
[28]Patch2021PIN diode28.5 GHzVery complicated structure and need an external controller
[29]Joined E-shaped 2022PIN diode5.4 GHzNeed complicated external controller
[30]Normal patch with a parasitic patch2022PIN diode5.8 GHzNeed complicated external controller
[31]Patch with PIN Diodes2021PIN diode-Complicated unit cell and external controller
[32]Patch2021PIN diode5.8 GHzMultilayer unit cell
[33]Transmissive type unit cell 2022PIN diode27 GHzComplicated Structure
[34]3-bit Unit Cell2021Varactor diode5 GHzComplicated unit cell and need an external controller
[35]Patch2021PIN diode3–4.5 GHzNeed external controller
[36]3D graphene2021Graphene On/OFF 28 GHzDifficult to fabricate the 3D structure
[37]Patch2021Varactor18.6–19.2 GHzNeed an external controller and need lots of varactor diodes
[38]Patch2022RF switch5.3 GHzCompilated RIS board
[39]Vanadium dioxide-based unit cell2022Vanadium dioxide5 GHz, 32 GHzMulti-layer structure
[40]Patch separated by an annular slot2022Varactor diode5.15–5.75 GHzNeed external controller
Our workCircular patch and circular patch with a ring-Mechanical Rotation3.5 GHzSingle layer unit cell backed by copper plate, easy to fabricate, low cost, no external complicated controller
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Rana, B.; Cho, S.-S.; Hong, I.-P. Parameters and Measurement Techniques of Reconfigurable Intelligent Surfaces. Micromachines 2022, 13, 1841. https://doi.org/10.3390/mi13111841

AMA Style

Rana B, Cho S-S, Hong I-P. Parameters and Measurement Techniques of Reconfigurable Intelligent Surfaces. Micromachines. 2022; 13(11):1841. https://doi.org/10.3390/mi13111841

Chicago/Turabian Style

Rana, Biswarup, Sung-Sil Cho, and Ic-Pyo Hong. 2022. "Parameters and Measurement Techniques of Reconfigurable Intelligent Surfaces" Micromachines 13, no. 11: 1841. https://doi.org/10.3390/mi13111841

APA Style

Rana, B., Cho, S. -S., & Hong, I. -P. (2022). Parameters and Measurement Techniques of Reconfigurable Intelligent Surfaces. Micromachines, 13(11), 1841. https://doi.org/10.3390/mi13111841

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop