Channel Estimation and Adaptive Modulation

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 3425

Special Issue Editors


E-Mail Website
Guest Editor
Departamento de Ingeniería de Comunicaciones, E.T.S.I. Telecomunicación, University of Málaga, Málaga, Spain
Interests: digital signal processing for communications; channel estimation and synchronization for OFDM; channel characterization and modelling; the latter with particular focus on Power Line Communications

E-Mail Website
Guest Editor
Departamento de Ingeniería de Comunicaciones, E.T.S.I. Telecomunicación, University of Málaga, Málaga, Spain
Interests: digital signal processing for communications; synchronization; channel estimation; performance analysis of wireless systems; spectral shaping; channel modelling

Special Issue Information

Dear Colleagues,

Channel estimation (CS) and adaptive modulation (AM) are key physical layer techniques to enhance spectral efficiency over time/frequency/spatial variant channels while maintaining a target error rate.

At present, these tasks have to be performed in communication channels with a large variety of characteristics, which range from channel response sparsity, as in the upcoming fifth-generation (5G) millimeter-wave communications; extremely rapid channel response variations, as in underwater acoustic (UWA) and vehicle-to-everything (V2X) communications; and cyclostationary noise, as in power line communications (PLC), just to mention a few examples.

The diversity of system features and operation modes (e.g., massive MIMO and in-band full-duplex), receiver architectures (e.g., iterative architectures), network configurations (e.g., relay networks), and processing techniques (e.g., machine learning) have also widened the catalogue of CS and AM strategies and methods.

This Special Issue is aimed at collecting high-quality contributions addressing CS and AM problems in all communication scenarios. Hence, possible topics include but are not limited to the following:

  • Decision-directed and pilot-based CS;
  • Compressed-sensing and parametric model-based CS;
  • CS with non-orthogonal pilot signals;
  • CS in single and multicarrier systems;
  • CS in single and multiple input–output systems;
  • Blind CS;
  • Iterative CS;
  • CS and AM using machine learning;
  • CS and AM for optical communication systems;
  • CS and AM for new channel fading models;
  • CS and AM in relay networks;
  • AM, coding, and HARQ;
  • AM and network coding;
  • AM with adaptive threshold;
  • AM using unconventional symbol constellations (hexagonal, hierarchical, etc.);
  • Efficient CSI feedback transmission;
  • Blind recognition of modulation and coding level;
  • AM oriented by QoS requirements;
  • AM performance in cellular networks;
  • AM for cognitive radio systems.

Prof. Dr. José Antonio Cortés Arrabal
Prof. Dr. Eduardo Martos-Naya
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. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

13 pages, 1816 KiB  
Article
Performance Evaluation of GFDM Channel Estimation Using DFT for Tactile Internet Application
by Al Kautsar Permana and Effrina Yanti Hamid
Electronics 2021, 10(5), 595; https://doi.org/10.3390/electronics10050595 - 4 Mar 2021
Cited by 11 | Viewed by 2267
Abstract
In this work, discrete Fourier transform (DFT)-based channel estimation is proposed in generalized frequency division multiplexing (GFDM) system. In the GFDM system, the subcarriers are non-orthogonal; therefore, the pilot symbols cannot be easily observed due to the interference from data symbols and noise. [...] Read more.
In this work, discrete Fourier transform (DFT)-based channel estimation is proposed in generalized frequency division multiplexing (GFDM) system. In the GFDM system, the subcarriers are non-orthogonal; therefore, the pilot symbols cannot be easily observed due to the interference from data symbols and noise. The proposed method can improve the channel estimation of least square (LS) method by eliminating channel impulse response outside the number of actual impulse response. First, the received signal is demodulated using zero forcing demodulator. Then, it is divided with transmitted pilot symbols to obtain channel response. Interpolation in frequency and time domains is conducted to acquire channel response for all GFDM blocks. Finally, the channel estimation algorithm using DFT is performed. The parameters of the system are adjusted so that they are suitable for tactile internet application. The channel model used is NYUSIM, which utilizes mmWave. Three scenarios in NYUSIM such as urban microcell, urban macro cell and rural macro cell are used and power delay profiles generated from NYUSIM simulator are employed in this system. The results show that mean square error (MSE) from DFT-based channel estimation gives substantial improvement for all scenarios. In addition, symbol error rate (SER) of DFT-based channel estimation provides a slight improvement of ~1.5 dB than LS channel estimation. Full article
(This article belongs to the Special Issue Channel Estimation and Adaptive Modulation)
Show Figures

Figure 1

Back to TopTop