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Joint Resource Allocation and Beamforming Design for MU-MIMO Relay Networks

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2025年第3期74卷 4163-4176页

作者： Zhang, Jiaying Hou, Qiushuo Gao, Huiguo Yu, Guanding Zhejiang Univ Coll Informat Sci & Elect Engn Hangzhou 310027 Peoples R China

Sidelink relay technique is an effective technique for coverage enhancement and data rate improvement, which has recently achieved success in diversified wireless applications. The main bottleneck of applying sidelink to multiple-user multiple-input multiple-output (MU-MIMO) system is how to overcome interference among user equipments (UEs). In this paper, we consider an MU-MIMO relay network with both downlink and uplink UEs, where sidelink reuses the same resources of uplink UEs. To maximize the sum rate of downlink UEs, we propose a novel joint resource block allocation and beamforming design algorithm for the considered MU-MIMO relay network. Specifically, we first formulate an optimization problem with the constraint on the sum-rate degradation of uplink UEs. However, the formulated mixed integer nonlinear programming problem is NP-hard. In order to solve this problem, we first relax the discrete variables and then transform the continuous problem into a convex one based on the weighted minimum mean square error (WMMSE) algorithm. Meanwhile, we prove the equivalence between the aforementioned two problems. Finally, we utilize the block coordinate descent method to solve the transformed problem and obtain the resource block allocation and beamforming design. Simulation results validate the effectiveness of the proposed algorithm and demonstrate the importance of joint optimization.

关键词： Sidelink Resource management Uplink Array signal processing Downlink Interference Optimization Relay networks Transmitting antennas Signal to noise ratio Sidelink relay resource block allocation multi-user multiple-input multiple-output beamforming weighted MMSE

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Optimized precoding for massive MU-MIMO systems with KLDA dimension reduction and RNN-crossover GBO algorithm

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TELECOMMUNICATION SYSTEMS 2024年第2期86卷 363-381页

作者： Ramanathan, Srividhya Bennet, M. Anto Vel Tech Rangarajan Dr Sagunthala R&D Inst Sci & T Dept Elect & Commun Engn Chennai Tamil Nadu India

Nowadays the communication of massive multi-user multiple-input multiple-output (MU-MIMO) takes an important role in wireless systems, as they facilitate the ultra-reliable transmission of data and high performance. In order to sustain massive user equipment (UE) with tremendous reliability and spectral efficiency, more antennas are deployed per base station (BS) in the MU-MIMO system. To overcome such problems, the recurrent neural network (RNN) with crossover-gradient based optimizer (GBO) model called RNN-crossover GBO is proposed for precoding in the MU-MIMO system. However, it is essential to diminish the complexity to attain the maximum sum rate for obtaining the optimal solution. Moreover, the kernel linear discriminant analysis (KLDA) dimensionality reduction technique is employed for mapping high dimensional data into a low dimension by considering a linear combination matrix. In order to obtain the best feature the GBO is employed that predict the optimal solution and restrict falling from the local solution. Furthermore, the crossover-GBO algorithm is applied with the RNN to estimate the output precoding matrix with considerable features to obtain the best search space. The experimental results revealed that the proposed method achieves higher performance with a higher sum rate and shows significant improvement in spectral efficiency (SE) values than the existing methods. SE rises due to the selection of closely associated features. This indicates the robustness and stability of the proposed model.

关键词： Precoder design multi-user multiple-input multiple-output Kernel linear discriminant analysis Spectral efficiency Crossover-gradient based optimizer

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Precoding Design for Downlink multiuser MIMO Systems With Deterministic Transmission Delay Constraints

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IEEE WIRELESS COMMUNICATIONS LETTERS 2024年第10期13卷 2932-2936页

作者： Ni, An Wang, Wenhao Qiao, Deli East China Normal Univ Sch Commun & Elect Engn Shanghai 200062 Peoples R China

In this letter, the weighted sum-rate maximization problem under the total transmit power constraint and deterministic transmission delay constraints for a downlink multi-user multiple-input multiple-output system is revisited. Initially, the non-convex problem is converted into a tractable form, which combines the log function with the product structure of Rayleigh quotients. Subsequently, the first-order optimality condition that the optimal precoding vector needs to satisfy is identified. Additionally, a low-complexity and efficient algorithm based on the generalized power iteration precoding algorithm to find the optimal precoding vector satisfying the first-order optimality condition is designed. The proposed scheme is a joint design of precoding matrix and power allocation regardless of the number of users and antennas. Numerical results demonstrate the advantage of the proposed precoding design with stringent constraint on deterministic transmission delay.

关键词： Precoding Vectors Delays Downlink Quality of service Optimization Signal to noise ratio Weighted sum-rate maximization deterministic transmission delay constraints multi-user multiple-input multiple-output Rayleigh quotients

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multi-Agent Reinforcement Learning-Based Distributed Dynamic Spectrum Access

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IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING 2022年第2期8卷 1174-1185页

作者： Albinsaid, Hasan Singh, Keshav Biswas, Sudip Li, Chih-Peng Natl Sun Yat Sen Univ Inst Commun Engn Kaohsiung 80424 Taiwan Indian Inst Informat Technol Guwahati Dept ECE Gauhati 781015 India

Dynamic spectrum access (DSA) is an effective solution for efficiently utilizing the radio spectrum by sharing it among various networks. Two primary tasks of a DSA controller are: 1) maximizing the quality of service of users in the licensee's network and 2) avoiding interference in communications towards the incumbent network. These two tasks become quite challenging in a distributed DSA network due to the lack of a centralized controller to regulate the sharing of the radio spectrum between incumbents and licensees. Hence, optimization-driven techniques to design power allocation schemes in such a network often become intractable. Accordingly, in this paper, we present a distributed DSA based communication framework based on multi-agent reinforcement learning (RL), where the multiple cells in the multi-user multiple-input multiple-output (MU-MIMO) licensee network act as agents, and the average signal-to-noise ratio value is the reward. In particular, by considering the physical layer parameters of the DSA network, we analyze various RL algorithms, namely Q-learning, deep Q-network (DQN), deep deterministic policy gradient (DDPG), and twin delayed deep deterministic (TD3), whereby the licensee network learns to obtain the optimal power allocation policies for accessing the spectrum in a distributed fashion without the need for a central DSA controller to manage the interference towards the incumbent. Trade-offs are identified for the considered algorithms with respect to performance, time complexity and scalability of the DSA network.

关键词： Dynamic spectrum access spectrum-sharing multi-agent reinforcement learning multi-user multiple-input multiple-output

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Achievable Rate in RIS-Aided MU-MIMO System Using Location Information for Phase Shift Design 98

Achievable Rate in RIS-Aided MU-MIMO System Using Location I...

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98th IEEE Vehicular Technology Conference (VTC-Fall)

作者： Huang, Jinye Li, Bin Beijing Inst Technol Sch Informat & Elect Beijing Peoples R China

ISBN: (纸本)9798350329285

Reconfigurable intelligent surface (RIS) is a promising technology for wireless communication systems. In order to design the beam from RIS to users, the users' positions are usually adopted to calculate the angle of departure (AoD) and angle of arrival (AoA) information. The users' positions from GPS or other localization system may not be accurate, thus degrades the performance of RIS-aided communication system. To this end, we analyze the achievable rate using the observed users' positions for beamforming design in multi-user multiple-input multiple-output (MU-MIMO) system. Based on the observed users' positions, approximate beamforming from RIS to users is designed. Moreover, a user-side analog combining vector based on users' positions is designed to maximize the received signal strength. Furthermore, the closed-form expression of the achievable rate is derived when the users' position errors follow Gaussian distributions. To verify the impact of observed users' positions, simulations demonstrate the derived closed-form achievable rate and numerical rate versus the mean and variance of position error, as well as the number of user antennas, respectively.

关键词： Reconfigurable intelligent surface multi-user multiple-input multiple-output Achievable rate Location information

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Precoding Design for multi-user MISO Systems With Delay-Constrained and -Tolerant users

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2022年第7期21卷 5090-5105页

作者： Kim, Minsu Park, Jeonghun Lee, Jemin Daegu Gyeongbuk Inst Sci & Technol Dept Informat & Commun Engn Daegu 42988 South Korea Kyungpook Natl Univ Sch Elect Engn Daegu 41566 South Korea Sungkyunkwan Univ Dept Elect & Comp Engn Suwon 16419 South Korea

In both academia and industry, multi-user multiple-input single-output (MU-MISO) techniques have shown enormous gains in spectral efficiency by exploiting spatial degrees of freedom. So far, an underlying assumption in most of the existing MU-MISO design has been that all the users use infinite blocklength, so that they can achieve the Shannon capacity. This setup, however, is not suitable considering delay-constrained users whose blocklength tends to be finite. In this paper, we consider a heterogeneous setting in MU-MISO systems where delay-constrained users and delay-tolerant users coexist, called a DCTU-MISO network. To maximize the sum spectral efficiency in this system, we present the spectral efficiency for delay-tolerant users and provide a lower bound of the spectral efficiency for delay-constrained users. We consider an optimization problem that maximizes the sum spectral efficiency of delay-tolerant users while satisfying the latency constraint of delay-constrained users, and propose a generalized power iteration (GPI) precoding algorithm that finds a principal precoding vector. Furthermore, we extend a DCTU-MISO network to the multiple time slots scenario and propose a recursive GPI precoding algorithm. In simulation results, we validate proposed methods outperform baseline schemes and present the effect of network parameters on the average sum spectral efficiency.

关键词： Precoding Optimization Downlink Ultra reliable low latency communication MIMO communication Resource management Array signal processing multi-user multiple-input multiple-output ultra-reliable low-latency communication finite blocklength spectral efficiency incremental redundancy hybrid automatic repeat request

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AP cooperation in Wi-Fi: Joint transmission with a novel precoding scheme, resilient to phase offsets between transmitters

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SIGNAL PROCESSING 2024年 220卷

作者： Levinbook, Yoav Ezri, Doron Melzer, Ezer Huawei Technol Tel Aviv Yafo Res Ctr 4 Haharash St IL-4524075 Tel Aviv Israel

multi Access-Point (M -AP) cooperation is expected to play a key role in the next-generation Wi-Fi standard (namely the upcoming IEEE WLAN 802.11bn/UHR, dubbed Wi-Fi-8), particularly in dense deployments where inter-cell interference hinders further increase in network capacity. Among the various considered APcooperation techniques, coherent Joint Transmission (JT) is the most ambitious, aiming at deploying an M -AP cluster as a single 'super -AP' serving multiple stations in a downlink multi-user multiple-input multiple-output (DL MU -MIMO) fashion. Ideally, in the absence of practical impairments - predominantly inter-AP phase misalignment - prior-art JT schemes exhibit superior performance relative to simpler M -AP precoding schemes such as Coordinated Beam-Forming (Co-BF), equivalent to -10 dB Signal-to-Interference-plus-Noise-Ratio gain in certain scenarios. However, the Wi-Fi standard - being based on low-cost implementation and deployment strategies as a major driver for success - cannot guarantee the required tight inter-AP synchronization levels, thus jeopardizing the JT advantage in practice (essentially wiping out the gain relative to Co-BF, in the above scenarios). As a cure, we develop a novel MIMO-precoding scheme, which preserves most of the JT gain (-7 out of the -10 dB above) while being inherently resilient to phase offsets between the APs, thus paving the way to practical incorporation of JT into Wi-Fi-8.

关键词： multi access point (M-AP) cooperation Robust joint transmission (JT) Coordinated beam-forming (co-BF) multi-user multiple-input multiple-output (MU-MIMO) precoding Inter-cell interference cancellation (ICIC) Wi-Fi 8

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Distributed multi-user MIMO Transmission Using Real-Time Sigma-Delta-Over-Fiber for Next Generation Fronthaul Interface

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JOURNAL OF LIGHTWAVE TECHNOLOGY 2020年第4期38卷 705-713页

作者： Wu, Chia-Yi Li, Haolin Caytan, Olivier Van Kerrebrouck, Joris Breyne, Laurens Bauwelinck, Johan Demeester, Piet Torfs, Guy Univ Ghent IMEC Dept Informat Technol IDLab B-9052 Ghent Belgium Univ Ghent IMEC Dept Informat Technol Photon Res Grp B-9052 Ghent Belgium

To achieve the massive device connectivity and high data rate demanded by 5G, wireless transmission with wider signal bandwidths and higher-order multiple-input multiple-output (MIMO) is inevitable. This work demonstrates a possible function split option for the next generation fronthaul interface (NGFI). The proof-of-concept downlink architecture consists of real-time sigma-delta modulated signal over fiber (SDoF) links in combination with distributed multi-user (MU) MIMO transmission. The setup is fully implemented using off-the-shelf and in-house developed components. A single SDoF link achieves an error vector magnitude (EVM) of 3.14% for a 163.84 MHz-bandwidth 256-QAM OFDM signal (958.64 Mbps) with a carrier frequency around 3.5 GHz transmitted over 100 m OM4 multi-mode fiber at 850 nm using a commercial QSFP module. The centralized architecture of the proposed setup introduces no frequency asynchronism among remote radio units. For most cases, the 2 x 2 MU-MIMO transmission has little performance degradation compared to SISO, 0.8 dB EVM degradation for 40.96 MHz-bandwidth signals and 1.4 dB for 163.84 MHz-bandwidth on average, implying that the wireless spectral efficiency almost doubles by exploiting spatial multiplexing. A 1.4 Gbps data rate (720 Mbps per user, 163.84 MHz-bandwidth, 64-QAM) is reached with an average EVM of 6.66%. The performance shows that this approach is feasible for the high-capacity hot-spot scenario.

关键词： OFDM MIMO communication Training Sigma-delta modulation Baseband Bandwidth Radio frequency Distributed antenna system multi-user multiple-input multiple-output next generation fronthaul interface radio-over-fiber sigma-delta modulation

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Optical spatial modulation design

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PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES 2020年第2169期378卷 20190195-20190195页

作者： Cogalan, T. Haas, H. Panayirci, E. Univ Edinburgh Li Fi R&D Ctr Edinburgh EH9 3J1 Midlothian Scotland Kadir Has Univ Dept Elect & Elect Engn TR-34083 Istanbul Turkey

Visible light communication (VLC) systems are inherently signal-to-noise ratio (SNR) limited due to link budget constraints. One favourable method to overcome this limitation is to focus on the pre-log factors of the channel capacity. multiple-input multiple-output (MIMO) techniques are therefore a promising avenue of research. However, inter-channel interference in MIMO limits the achievable capacity. Spatial modulation (SM) avoids this limitation. Furthermore, the performance of MIMO systems in VLC is limited by the similarities among spatial channels. This limitation becomes particularly severe in intensity modulation/direct detection (IM/DD) systems because of the lack of phase information. The motivation of this paper is to propose a system that results in a multi-channel transmission system that enables reliable multi-user optical MIMO SM transmission without the need for a precoder, power allocation algorithm or additional optics at the receiver. A general bit error performance model for the SM system is developed for an arbitrary number of light-emitting diodes (LEDs) in conjunction with pulse amplitude modulation. Based on this model, an LED array structure is designed to result in spatially separated multiple channels by manipulating the transmitter geometry. This article is part of the theme issue 'Optical wireless communication'.

关键词： light-fidelity multiple-input multiple-output spatial modulation intensity modulation and direct detection pulse amplitude modulation multi-user multiple-input multiple-output

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Sum Rate Maximization for Full Duplex multiuser MIMO Systems by Gradient Projection Approach

Sum Rate Maximization for Full Duplex Multiuser MIMO Systems...

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International Symposium on Electrical and Electronics Engineering (ISEE)

作者： Viet Quoc Pham Tien Ngoc Ha Ha Hoang Kha Vo Que Son Ho Chi Minh City Univ Technol VNU HCM Ho Chi Minh City Vietnam

ISBN: (纸本)9781728153537

In this paper, we study the achievable sum-rate of a multi-user (MU) multiple-input-multiple-output (MIMO) wireless communication system in which one full-duplex (FD) base station (BS) serves a number of half-duplex (HD) mobile stations (MSs). The problem of interest is to design the precoding matrices of the uplinks and the downlinks to maximize the system sum rate under transmit power constraints at the BS and the MSs. An iterative algorithm based on the gradient projection (GP) and the Armijo rule is developed to maximize the sum-rate. The convergence of the algorithm and the achievable sum-rate performance of the FD MU-MIMO model as compared to those of the HD MU-MIMO one will be investigated through numerical simulation results.

关键词： multi-user multiple-input multiple-output full-duplex half-duplex precoder designs sum-rate maximization

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