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Wireless Communications: Signal Processing Perspectives, 2nd Edition

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 611

Special Issue Editors


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Guest Editor
Department of Electrical and Computer Engineering, University of Sherbrooke, Sherbrooke, QC J1K 2R1, Canada
Interests: array processing; MIMO systems; massive MIMO; signal processing; wireless communications; radio propagation and channel models
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Engineering, The University of British Columbia, Kelowna, BC V1Y 8L6, Canada
Interests: wireless digital communications theory; optical wireless communications theory; 5G wireless networks and beyond; quantum information processing and communications; machine learning; deep learning; wireless location technology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are in the digital age. Today, humans live and work within an increasingly pervasive digital fabric comprised of multitudes of heterogeneous computing nodes acting as hubs in worldwide interconnected networks of various types. The wireless portion of these networks is of paramount importance, since it enables mobility, connectedness through various portable devices, and machine-to-machine communications in the so-called Internet of Things (IoT). In addition to wireless LANs (WiFi), IoT communications (through LoRa or other radio interfaces), and satellite, there are more than 10 billion active cell phone connections worldwide, which is more than the number of humans.

However, high-bandwidth communication over the air is notoriously difficult, given the fact that the EM spectrum is a limited and congested resource. The relentless evolution of wireless has been made possible through increasingly efficient spectrum usage, thanks to sophisticated spectrum processing, especially by leveraging the spatial dimension. Indeed, staggering gains in spectrum efficiency since 2005 have been achieved through the improved integration of adaptive antenna arrays and the MIMO concept. In fact, massive MIMO is a keystone technology of 5G cellular.

Going forward, data volume will continue to increase rapidly, as will the logistic complexity of wireless networks, which are becoming increasingly heterogeneous and unpredictable. Furthermore, there is a push for ultra-reliable and low-latency communications, which imposes further constraints on the wireless infrastructure. In fact, the need for extremely low-latency responses implies that much of the processing will be pushed towards the network edge, thus radically changing the nature of the wireless domain and its cybersecurity aspects.

Meeting these challenges requires continuous innovation in the signal processing domain to continue leveraging the spatial dimension with increasing efficiency in conjunction with other techniques to yield the desirable traits of ultra-reliability, ultra-low latency, self-organization, scalability, and adaptability to changing environments, operating conditions and network demands. The scope of this Special Issue covers such innovations and the underlying challenges.

We therefore welcome unpublished original papers and comprehensive surveys on the above theme, specifically on the following, non-exhaustive, list of topics:

  • Beamforming, diversity, and MIMO techniques, including for IoT and energy efficiency;
  • Massive MIMO;
  • Cell-free and clustered cell-free MIMO;
  • Antenna selection and antenna subset selection in large arrays;
  • Reconfigurable intelligent surfaces (RISs);
  • The use of unmanned aerial vehicles (UAVs) for wireless networking;
  • Channel estimation and its impact on network performance;
  • Physical-layer security;
  • Relaying and cooperation;
  • Self-organizing networks;
  • Energy efficiency in wireless networks;
  • Machine learning applied to any of the above, especially within some formal mathematical framework;
  • Sound analytical signal processing techniques and/or information theoretic framework applied to any of the above;
  • Modulation and waveform design;
  • Integrated sensing and communication.

Prof. Dr. Sébastien Roy
Prof. Dr. Julian Cheng
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. Entropy is an international peer-reviewed open access monthly 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

  • antenna selection
  • massive MIMO
  • reconfigurable intelligent surfaces (RISs)
  • physical-layer security
  • cell-free MIMO
  • green communications
  • machine learning
  • unmanned aerial vehicles (UAVs)
  • relaying and cooperation
  • self-organization, modulation and waveform design
  • integrated sensing and communication

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Published Papers (2 papers)

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Research

18 pages, 821 KiB  
Article
Joint Iterative Decoding Design of Cooperative Downlink SCMA Systems
by Hao Cheng, Min Zhang and Ruoyu Su
Entropy 2025, 27(7), 762; https://doi.org/10.3390/e27070762 - 18 Jul 2025
Viewed by 141
Abstract
Sparse code multiple access (SCMA) has been a competitive multiple access candidate for future communication networks due to its superiority in spectrum efficiency and providing massive connectivity. However, cell edge users may suffer from great performance degradations due to signal attenuation. Therefore, a [...] Read more.
Sparse code multiple access (SCMA) has been a competitive multiple access candidate for future communication networks due to its superiority in spectrum efficiency and providing massive connectivity. However, cell edge users may suffer from great performance degradations due to signal attenuation. Therefore, a cooperative downlink SCMA system is proposed to improve transmission reliability. To the best of our knowledge, multiuser detection is still an open issue for this cooperative downlink SCMA system. To this end, we propose a joint iterative decoding design of the cooperative downlink SCMA system by using the joint factor graph stemming from direct and relay transmission. The closed form bit-error rate (BER) performance of the cooperative downlink SCMA system is also derived. Simulation results verify that the proposed cooperative downlink SCMA system performs better than the non-cooperative one. Full article
(This article belongs to the Special Issue Wireless Communications: Signal Processing Perspectives, 2nd Edition)
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20 pages, 528 KiB  
Article
Analysis of Outage Probability and Average Bit Error Rate of Parallel-UAV-Based Free-Space Optical Communications
by Sheng-Hong Lin, Jin-Yuan Wang and Xinyi Hua
Entropy 2025, 27(6), 650; https://doi.org/10.3390/e27060650 - 18 Jun 2025
Viewed by 273
Abstract
Recently, free-space optical (FSO) communication systems utilizing unmanned aerial vehicle (UAV) relays have garnered significant attention. Integrating UAV relays into FSO communication and employing cooperative diversity techniques not only fulfill the need for long-distance transmission but also enable flexible adjustments of relay positions [...] Read more.
Recently, free-space optical (FSO) communication systems utilizing unmanned aerial vehicle (UAV) relays have garnered significant attention. Integrating UAV relays into FSO communication and employing cooperative diversity techniques not only fulfill the need for long-distance transmission but also enable flexible adjustments of relay positions based on the actual environment. This paper investigates the performance of a parallel-UAV-relay-based FSO communication system. In the considered system, the channel fadings include atmospheric loss, atmospheric turbulence, pointing errors, and angle-of-arrival fluctuation. Using the established channel model, we derive a tractable expression for the probability density function of the total channel gain. Then, we derive closed-form expressions of the system outage probability (OP) and average bit error rate (ABER). Moreover, we also derive the asymptotic OP and ABER for a high-optical-intensity regime. Our numerical results validate the accuracy of the derived theoretical expressions. Additionally, the effects of the number of relay nodes, the field of view, the direction deviation, the signal-to-noise ratio threshold, the atmospheric turbulence intensity, the transmit power, and the transmission distance on the system’s performance are also discussed. Full article
(This article belongs to the Special Issue Wireless Communications: Signal Processing Perspectives, 2nd Edition)
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