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Integrated Localization and Communication: Advances and Challenges

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".

Deadline for manuscript submissions: 25 April 2025 | Viewed by 3706

Special Issue Editors


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Guest Editor
Department of Communication Systems, Jožef Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia
Interests: radio signal propagation; radio channel modeling and measurements; localization and sensing; terrestrial and satellite communications
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
Interests: measurement and modeling of wireless propagation channels; high-speed railway communications; ray-tracing and machine-learning-based digital twin of electromagnetic environments in various complex scenarios; such as vehicle-to-x communications; terahertz communication systems; integrated sensing and communications; space–air–ground integrated networks
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Hallenweg 23, 7522 NH Enschede, The Netherlands
Interests: joint communication and sensing; antenna and radio propagation; channel modeling and parameter estimation; MIMO

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Guest Editor
Faculty of Electrical Engineering, University of Banja Luka, 78000 Banja Luka, Bosnia and Herzegovina
Interests: Internet of Things (IoT) protocols and applications; industrial IoT; IoT for healthcare; next-generation network architectures and applications; cross-layer protocol design; wireless sensor networks
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We would like to invite you to contribute to a Special Issue of Sensors on the subject area of "Integrated Localization and Communication: Advances and Challenges". New 6G communication systems are introducing radically new services that require terabits per second (Tb/s) data rates and sub-millisecond delays. The accurate location of the user (mobile device) is important not only for location-based services, but also for achieving the required communication performance and improving network efficiency. The location information can be used for channel estimation, bean alignment, medium access control, routing, and network optimization. On the other hand, advances in communication technologies, such as mmWave and THz technologies, extremely large antenna arrays (ELAA), ultra-dense networks (UDN), reconfigurable intelligent surfaces (RIS), and artificial intelligence (AI), offer the possibility of moving localization accuracy into the centimeter range. Research on integrated localization and communication (ILAC) is needed to achieve high-throughput, low-latency communication with centimeter-level localization accuracy. Separate extensive studies on localization and wireless communication exist, while there is a gap in the research on ILAC where both functions can be developed together for the efficient use of resources. ILAC is expected to influence the traditional algorithm and protocol design and evolve the future wireless networks into intelligent and interactive networks. However, many challenges still need to be overcome, especially resource sharing, information exchange, and performance trade-offs between communication and localization.

This Special Issue will deal with novel approaches, concepts, algorithms, and protocols for ILAC in 6G wireless networks. We are soliciting high-quality original research papers on topics including, but not limited to:

  • Fundamental information, network architectures, and transmission protocols for ILAC;
  • Key enabling technologies for ILAC;
  • Location-assisted mmWave and THz communications;
  • Massive MIMO, extremely large antenna array (ELAA), and reconfigurable intelligent surfaces (RISs) for ILAC;
  • ILAC in vehicular-to-everything (V2X) networks and automotive radar;
  • ILAC in aerial–ground networks;
  • ILAC in (Industrial) Internet of Things (I)IoT networks;
  • Advancements in algorithms and protocols for ILAC;
  • Machine learning/AI-enhanced ILAC.

Dr. Andrej Hrovat
Prof. Dr. Ke Guan
Dr. Yang Miao
Prof. Dr. Gordana Gardasevic
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

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Published Papers (3 papers)

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Research

19 pages, 1137 KiB  
Article
A Bayesian Tensor Decomposition Method for Joint Estimation of Channel and Interference Parameters
by Yuzhe Sun, Wei Wang, Yufan Wang and Yuanfeng He
Sensors 2024, 24(16), 5284; https://doi.org/10.3390/s24165284 - 15 Aug 2024
Viewed by 812
Abstract
Bayesian tensor decomposition has been widely applied in channel parameter estimations, particularly in cases with the presence of interference. However, the types of interference are not considered in Bayesian tensor decomposition, making it difficult to accurately estimate the interference parameters. In this paper, [...] Read more.
Bayesian tensor decomposition has been widely applied in channel parameter estimations, particularly in cases with the presence of interference. However, the types of interference are not considered in Bayesian tensor decomposition, making it difficult to accurately estimate the interference parameters. In this paper, we present a robust tensor variational method using a CANDECOMP/PARAFAC (CP)-based additive interference model for multiple input–multiple output (MIMO) with orthogonal frequency division multiplexing (OFDM) systems. A more realistic interference model compared to traditional colored noise is considered in terms of co-channel interference (CCI) and front-end interference (FEI). In contrast to conventional algorithms that filter out interference, the proposed method jointly estimates the channel and interference parameters in the time–frequency domain. Simulation results validate the correctness of the proposed method by the evidence lower bound (ELBO) and reveal the fact that the proposed method outperforms traditional information-theoretic methods, tensor decomposition models, and robust model based on CP (RCP) in terms of estimation accuracy. Further, the interference parameter estimation technique has profound implications for anti-interference applications and dynamic spectrum allocation. Full article
(This article belongs to the Special Issue Integrated Localization and Communication: Advances and Challenges)
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18 pages, 1359 KiB  
Article
Distance- and Angle-Based Hybrid Localization Integrated in the IEEE 802.15.4 TSCH Communication Protocol
by Grega Morano, Aleš Simončič, Teodora Kocevska, Tomaž Javornik and Andrej Hrovat
Sensors 2024, 24(12), 3925; https://doi.org/10.3390/s24123925 - 17 Jun 2024
Viewed by 713
Abstract
Accurate localization of devices within Internet of Things (IoT) networks is driven by the emergence of novel applications that require context awareness to improve operational efficiency, resource management, automation, and safety in industry and smart cities. With the Integrated Localization and Communication (ILAC) [...] Read more.
Accurate localization of devices within Internet of Things (IoT) networks is driven by the emergence of novel applications that require context awareness to improve operational efficiency, resource management, automation, and safety in industry and smart cities. With the Integrated Localization and Communication (ILAC) functionality, IoT devices can simultaneously exchange data and determine their position in space, resulting in maximized resource utilization with reduced deployment and operational costs. Localization capability in challenging scenarios, including harsh environments with complex geometry and obstacles, can be provided with robust, reliable, and energy-efficient communication protocols able to combat impairments caused by interference and multipath, such as the IEEE 802.15.4 Time-Slotted Channel Hopping (TSCH) protocol. This paper presents an enhancement of the TSCH protocol that integrates localization functionality along with communication, improving the protocol’s operational capabilities and setting a baseline for monitoring, automation, and interaction within IoT setups in physical environments. A novel approach is proposed to incorporate a hybrid localization by integrating Direction of Arrival (DoA) estimation and Multi-Carrier Phase Difference (MCPD) ranging methods for providing DoA and distance estimates with each transmitted packet. With the proposed enhancement, a single node can determine the location of its neighboring nodes without significantly affecting the reliability of communication and the efficiency of the network. The feasibility and effectiveness of the proposed approach are validated in a real scenario in an office building using low-cost proprietary devices, and the software incorporating the solution is provided. The experimental evaluation results show that a node positioned in the center of the room successfully estimates both the DoA and the distance to each neighboring node. The proposed hybrid localization algorithm demonstrates an accuracy of a few tens of centimeters in a two-dimensional space. Full article
(This article belongs to the Special Issue Integrated Localization and Communication: Advances and Challenges)
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15 pages, 9055 KiB  
Communication
Comparison of Simulated and Measured Power of the Earth-Space Link for Satellite-Based AIS Signals
by Xiang Dong, Zhigang Yuan, Fang Sun, Qinglin Zhu, Mingchen Sun and Pengfei Zhu
Sensors 2023, 23(15), 6740; https://doi.org/10.3390/s23156740 - 27 Jul 2023
Cited by 1 | Viewed by 1059
Abstract
This research aims to analyze the impact of the Earth-Space link on the Automatic Identification System (AIS) signals of ships. To achieve this, we established a simulation system that measures the receiving power of AIS signals via satellite platforms. We validated the system [...] Read more.
This research aims to analyze the impact of the Earth-Space link on the Automatic Identification System (AIS) signals of ships. To achieve this, we established a simulation system that measures the receiving power of AIS signals via satellite platforms. We validated the system by utilizing observation data from Tiantuo-5. Through this simulation, we quantitatively analyzed the effects of ionospheric TEC (Total Electron Content) and space loss on the received power. During the processing of observation data, we construct a geometric propagation model utilizing the measured positions of both the satellite and the ship. We then calculate the antenna gain and remove any system errors. Additionally, we eliminate the deviation of elevation and azimuth angles caused by satellite motion. This allows us to determine the actual power of different ships reaching the receiving platform. Upon comparing the measured power data with the simulated power, it was noted that both exhibited an increasing trend as the elevation angle increased. This led to an RMSE (Root Mean Square Error) result of approximately one, indicating the accuracy of the simulation system. These findings hold significant implications for analyzing interference factors in satellite-ground links. Full article
(This article belongs to the Special Issue Integrated Localization and Communication: Advances and Challenges)
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