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Information Theory for MIMO Systems

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

Deadline for manuscript submissions: 15 July 2024 | Viewed by 7311

Special Issue Editors

School of Cyber Science and Technology, Beihang University, Beijing 100191, China
Interests: information theory; statistical inference; physical layer security; space air-ground integrated communications; wireless MIMO ad-hoc network

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Guest Editor
School of Cyber Science and Technology, Beihang University, Beijing 100191, China
Interests: multiple-input multiple-output (MIMO); the Internet of Things (IoT); unmanned aerial vehicle (UAV) communications; space-air-ground integrated networks; physical layer security
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Multiple input multiple output (MIMO) is an enabling technology for wireless communications systems over decades for its capability of increasing the transmission rate via multiplexing and improving the transmission reliability via diversity by deploying multiple antennas at the transmitters and receivers. Information theory provides the benchmark and guides the design of communication systems since the celebrated seminal work of Shannon in 1948. Despite the considerable amount of research results including information theoretical studies of MIMO communication, the expansion of the communication range and demands of future communication systems such as 6G and IoT pose new challenges. This special Issus aims to bring together recent research efforts that study fundamental limits and signal processing methods of MIMO for the design of next generation communication systems. Possible topics include, but are not limited to the following:

  1. Low-latency MIMO communication
  2. Low-complexity MIMO detection
  3. Cooperative MIMO communication
  4. Covert MIMO communication
  5. Physical layer security in MIMO systems
  6. Random access and NOMA for Multiuser MIMO
  7. Joint source-channel coding over MIMO channels
  8. Space-air-ground integrated communications with MIMO
  9. MIMO beamforming design and beam alignment methods
  10. Channel modeling and estimation for MIMO communication
  11. Fundamental limits and communication strategies for MIMO ad-hoc networks

Dr. Lin Zhou
Prof. Dr. Lin Bai
Guest Editors

Manuscript Submission Information

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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

  • low-latency MIMO communication
  • low-complexity MIMO detection
  • cooperative MIMO communication
  • covert MIMO communication
  • physical layer security in MIMO systems
  • random access and NOMA for Multiuser MIMO
  • joint source-channel coding over MIMO channels
  • space-air-ground integrated communications with MIMO
  • MIMO beamforming design and beam alignment methods
  • channel modeling and estimation for MIMO communication
  • fundamental limits and communication strategies for MIMO ad-hoc networks

Published Papers (5 papers)

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Research

22 pages, 1607 KiB  
Article
Efficient Constant Envelope Precoding for Massive MU-MIMO Downlink via Majorization-Minimization Method
by Rui Liang, Hui Li, Yingli Dong and Guodong Xue
Entropy 2024, 26(4), 349; https://doi.org/10.3390/e26040349 - 21 Apr 2024
Viewed by 821
Abstract
The practical implementation of massive multi-user multi-input–multi-output (MU-MIMO) downlink communication systems power amplifiers that are energy efficient; otherwise, the power consumption of the base station (BS) will be prohibitive. Constant envelope (CE) precoding is gaining increasing interest for its capability to utilize low-cost, [...] Read more.
The practical implementation of massive multi-user multi-input–multi-output (MU-MIMO) downlink communication systems power amplifiers that are energy efficient; otherwise, the power consumption of the base station (BS) will be prohibitive. Constant envelope (CE) precoding is gaining increasing interest for its capability to utilize low-cost, high-efficiency nonlinear radio frequency amplifiers. Our work focuses on the topic of CE precoding in massive MU-MIMO systems and presents an efficient CE precoding algorithm. This algorithm uses an alternating minimization (AltMin) framework to optimize the CE precoded signal and precoding factor, aiming to minimize the difference between the received signal and the transmit symbol. For the optimization of the CE precoded signal, we provide a powerful approach that integrates the majorization-minimization (MM) method and the fast iterative shrinkage-thresholding (FISTA) method. This algorithm combines the characteristics of the massive MU-MIMO channel with the second-order Taylor expansion to construct the surrogate function in the MM method, in which minimizing this surrogate function is the worst-case of the system. Specifically, we expand the suggested CE precoding algorithm to involve the discrete constant envelope (DCE) precoding case. In addition, we thoroughly examine the exact property, convergence, and computational complexity of the proposed algorithm. Simulation results demonstrate that the proposed CE precoding algorithm can achievean uncoded biterror rate (BER) performance gain of roughly 1dB compared to the existing CE precoding algorithm and has an acceptable computational complexity. This performance advantage also exists when it comes to DCE precoding. Full article
(This article belongs to the Special Issue Information Theory for MIMO Systems)
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21 pages, 621 KiB  
Article
Alternating Direction Method of Multipliers-Based Constant Modulus Waveform Design for Dual-Function Radar-Communication Systems
by Ahmed Saleem, Abdul Basit, Muhammad Fahad Munir, Athar Waseem, Wasim Khan, Aqdas Naveed Malik, Salman A. AlQahtani, Amil Daraz and Pranavkumar Pathak
Entropy 2023, 25(7), 1027; https://doi.org/10.3390/e25071027 - 6 Jul 2023
Cited by 1 | Viewed by 1113
Abstract
In this paper, we design constant modulus waveforms for dual-function radar-communication (DFRC) systems based on a multi-input multi-output (MIMO) configuration of sensors for a far-field scenario. At first, we formulate a non-convex optimization problem subject to waveform synthesis for minimizing the interference power [...] Read more.
In this paper, we design constant modulus waveforms for dual-function radar-communication (DFRC) systems based on a multi-input multi-output (MIMO) configuration of sensors for a far-field scenario. At first, we formulate a non-convex optimization problem subject to waveform synthesis for minimizing the interference power while maintaining a constant modulus constraint. Next, we solve this non-convex problem, iteratively, using the alternating direction method of multipliers (ADMM) algorithm. Importantly, the designed waveforms approximate a desired beampattern in terms of a high-gain radar beam and a slightly high gain communication beam while maintaining a desired low sidelobe level. The designed waveforms ensure an improved detection probability and an improved bit error rate (BER) for radar and communications parts, respectively. Finally, we demonstrate the effectiveness of the proposed method through simulation results. Full article
(This article belongs to the Special Issue Information Theory for MIMO Systems)
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20 pages, 6783 KiB  
Article
Wideband Waveform Design for Distributed Precision Jamming
by Kedi Zhang, Qingsong Zhou, Jing Wang, Chao Huang, Zhongping Yang and Jianyun Zhang
Entropy 2023, 25(3), 496; https://doi.org/10.3390/e25030496 - 13 Mar 2023
Cited by 1 | Viewed by 1254
Abstract
Precision electronic warfare is a hot direction for future jamming technology development, and distributed precision jamming (DIPJ) is one of its typical application scenarios. The task objective of DIPJ is to design jamming waveforms so that the jamming energy generated by a set [...] Read more.
Precision electronic warfare is a hot direction for future jamming technology development, and distributed precision jamming (DIPJ) is one of its typical application scenarios. The task objective of DIPJ is to design jamming waveforms so that the jamming energy generated by a set of ultra-sparse array transmitters can be focused in the jamming region of interest while being suppressed in other specific protected regions, which can be viewed as a distributed multiple-input and multiple-output system waveform design problem under a three-dimensional scenario. This paper extends the jamming signal model in DIPJ from narrowband to wideband based on previous work to address a broader range of jamming tasks. After extending the model to wideband signals, a method based on the traditional maximum total energy difference optimization objective is first given for comparison. A wideband jamming waveform design method based on the majorization minimization algorithm with the desired power spectrum matching as the optimization target is designed for the problem that the maximum energy difference method cannot focus energy well in the jamming region. The simulation results show that the presented method can make the jamming energy well concentrated in the target region and evenly distributed over the whole bandwidth, while the energy in the whole bandwidth is suppressed in the protected region. Full article
(This article belongs to the Special Issue Information Theory for MIMO Systems)
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12 pages, 361 KiB  
Article
Efficient Massive MIMO Detection for M-QAM Symbols
by Zhi Quan, Jiyu Luo, Hailong Zhang and Li Jiang
Entropy 2023, 25(3), 391; https://doi.org/10.3390/e25030391 - 21 Feb 2023
Cited by 1 | Viewed by 1704
Abstract
Massive multiple-input multiple-output (MIMO) systems significantly outperform small-scale MIMO systems in terms of data rate, making them an enabling technology for next-generation wireless systems. However, the increased number of antennas increases the computational difficulty of data detection, necessitating more efficient detection techniques. This [...] Read more.
Massive multiple-input multiple-output (MIMO) systems significantly outperform small-scale MIMO systems in terms of data rate, making them an enabling technology for next-generation wireless systems. However, the increased number of antennas increases the computational difficulty of data detection, necessitating more efficient detection techniques. This paper presents a detector based on joint deregularized and box-constrained dichotomous coordinate descent (BOXDCD) with iterations for rectangular m-ary quadrature amplitude modulation (M-QAM) symbols. Deregularization maximized the energy of the solution. With the box-constraint, the deregularization forces the solution to be close to the rectangular boundary set. The numerical results demonstrate that the proposed detector achieves a considerable performance gain compared to existing detection algorithms. The performance advantage increases with the system size and signal-to-noise ratio. Full article
(This article belongs to the Special Issue Information Theory for MIMO Systems)
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17 pages, 690 KiB  
Article
A Spectrum-Saving Transmission Method in Multi-Antenna Satellite Communication Star Networks: Sharing the Frequency with Terminals
by Tian Li, Xuekun Hao and Xinwei Yue
Entropy 2023, 25(1), 113; https://doi.org/10.3390/e25010113 - 5 Jan 2023
Cited by 1 | Viewed by 1338
Abstract
Satellite communication networks have gradually been recognized as an effective way to enhance the ground-based wireless communication. Considering the weight restriction of payloads, multi-antenna technologies have recently come into use on satellite platforms, and are capable of generating beams flexibly to provide services. [...] Read more.
Satellite communication networks have gradually been recognized as an effective way to enhance the ground-based wireless communication. Considering the weight restriction of payloads, multi-antenna technologies have recently come into use on satellite platforms, and are capable of generating beams flexibly to provide services. To avoid incurring interferences, adjacent beams are designed to take different spectral resources. Unfortunately, this may limit the simultaneously accessed terminals since the spectrum cannot be fully used. In this paper, we propose a spectrum-saving transmission method in a satellite star network, where terminals communicate with each other through the hub station. Taking advantage of the great transmission capability differences of the hub station and terminals, we could allocate them the same spectral resources. Specifically, it is not necessary to use exclusive frequency bands for terminals.The proposed method can play a significant role when large numbers of users need to access the system with limited spectrum resource. To give a deep insight into the spectrum-saving method, the expressions of ergodic sum-rate are provided, and the impact of the number of accessed terminals is further analyzed. Simulation results validate the advantage of the proposed method in terms of bit error rate and ergodic sum rate. Full article
(This article belongs to the Special Issue Information Theory for MIMO Systems)
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