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Full-Duplex Wireless Communication
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Full-Duplex Wireless Communication

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

Deadline for manuscript submissions: closed (10 February 2022) | Viewed by 5425

Special Issue Editors

Dr. Besma Smida

E-Mail Website
Guest Editor
Associate Professor, Departrment of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL, USA
Interests: wireless communication theory; full-duplex communication; Distributed sensor networks; Internet of things; radar; backscatter modulation
Dr. George C. Alexandropoulos

E-Mail Website
Guest Editor
Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, 15784 Athens, Greece
Interests: full-duplex systems; internet of things; (massive) millimeter-wave and THz systems; MIMO; physical layer security; reconfigurable intelligent surfaces; signal processing for communication; wireless transceiver architectures
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

To meet the rising demand for high-speed data services, wireless networks must exploit the available frequency spectrum more efficiently. One key limit to spectrum utilization efficiency involves the current practice of half-duplex communication, in which a node either transmits or receives a signal in a single-channel usage. This separation prevents self-interference, which has frequently been seen as an insurmountable technical problem. Promoted by the popularity of small-cell wireless systems, recent works have provided experimental evidence and methodologies for full-duplex communication, in which a node transmits and receives signals at the same time and on the same frequency band. Full-duplex communications have the potential to improve the attainable spectral efficiency and throughput and reduce latency.

This Special Issue will provide a synthesized source of recent research results and to serve as a springboard for future work in Full-Duplex Wireless Communications. The possible topics include, but are not limited to the following:

  • Advanced self-interference cancellation techniques for full-duplex
  • Advanced antenna and transceiver designs for full-duplex
  • Full-duplex reconfigurable intelligent (meta)surfaces
  • Full-duplex techniques with wireless power and energy harvesting
  • Full-duplex for simultaneous communication and sensing
  • Full-duplex millimeter-wave/THz systems
  • Multiple input multiple output full-duplex transceiver design
  • Performance analysis of full-duplex transceivers, systems, and networks
  • Physical layer security and full-duplex techniques
  • Resource allocation and user scheduling in full-duplex networks
  • Stochastic geometry for full-duplex systems
  • Experimental evaluation of full-duplex transceivers and networks

Dr. Besma Smida
Prof. Dr. George C. Alexandropoulos
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.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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.

Keywords

  • self-interference cancellation techniques
  • antenna and transceiver designs
  • multiple-input multiple-output (MIMO)
  • physical layer security
  • full-duplex wireless power and energy harvesting
  • experimental evaluation

Published Papers (2 papers)

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Research

19 pages, 535 KiB  
Article
Joint Semi-Blind Self-Interference Cancellation and Equalisation Processes in 5G QC-LDPC-Encoded Short-Packet Full-Duplex Transmissions
by Bao Quoc Vuong, Roland Gautier, Hien Quang Ta, Lap Luat Nguyen, Anthony Fiche and Mélanie Marazin
Sensors 2022, 22(6), 2204; https://0-doi-org.brum.beds.ac.uk/10.3390/s22062204 - 11 Mar 2022
Cited by 6 | Viewed by 1942
Abstract
The paper proposes a joint semi-blind algorithm for simultaneously cancelling the self-interference component and estimating the propagation channel in 5G Quasi-Cyclic Low-Density Parity-Check (QC-LDPC)-encoded short-packet Full-Duplex (FD) transmissions. To avoid the effect of channel estimation processes when using short-packet transmissions, this semi-blind algorithm [...] Read more.
The paper proposes a joint semi-blind algorithm for simultaneously cancelling the self-interference component and estimating the propagation channel in 5G Quasi-Cyclic Low-Density Parity-Check (QC-LDPC)-encoded short-packet Full-Duplex (FD) transmissions. To avoid the effect of channel estimation processes when using short-packet transmissions, this semi-blind algorithm was developed by taking into account only a small number (four at least) pilot symbols, which was integrated with the intended information sequence and used for the feedback loop of the estimation of the channels. The results showed that this semi-blind algorithm not only achieved nearly optimal performance, but also significantly reduced the processing time and computational complexity. This semi-blind algorithm can also improve the performances of the Mean-Squared Error (MSE) and Bit Error Rate (BER). The results of this study highlight the potential efficiency of this joint semi-blind iterative algorithm for 5G and Beyond and/or practical IoT transmission scenarios. Full article
(This article belongs to the Special Issue Full-Duplex Wireless Communication)
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18 pages, 2076 KiB  
Communication
Low-Complexity Self-Interference Cancellation for Multiple Access Full Duplex Systems
by Shachar Shayovitz, Andrey Krestiantsev and Dan Raphaeli
Sensors 2022, 22(4), 1485; https://0-doi-org.brum.beds.ac.uk/10.3390/s22041485 - 15 Feb 2022
Cited by 3 | Viewed by 1858
Abstract
Self-interference occurs when there is electromagnetic coupling between the transmission and reception of the same node; thus, degrading the RX sensitivity to incoming signals. In this paper we present a low-complexity technique for self-interference cancellation in multiple carrier multiple access systems employing whole [...] Read more.
Self-interference occurs when there is electromagnetic coupling between the transmission and reception of the same node; thus, degrading the RX sensitivity to incoming signals. In this paper we present a low-complexity technique for self-interference cancellation in multiple carrier multiple access systems employing whole band direct to digital sampling. In this scenario, multiple users are simultaneously received and transmitted by the system at overlapping arbitrary bandwidths and powers. Traditional algorithms for self-interference mitigation based on recursive least squares (RLS) or least mean squares (LMS), fail to provide sufficient rejection, since the incoming signal is far from being spectrally flat, which is critical for their performance. The proposed algorithm mitigates the interference by modeling the incoming multiple user signal as an autoregressive (AR) process and jointly estimates the AR parameters and self-interference. The resulting algorithm can be implemented using a low-complexity architecture comprised of only two RLS modules. The novel algorithm further satisfies low latency constraints and is adaptive, supporting time varying channel conditions. We compare this to many self-interference cancellation algorithms, mostly adopted from the acoustic echo cancellation literature, and show significant performance gain. Full article
(This article belongs to the Special Issue Full-Duplex Wireless Communication)
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