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Double-Layer precoder and Cluster-Based Power Allocation design for LEO Satellite Communication With Massive MIMO

IEEE COMMUNICATIONS LETTERS 2023年第2期27卷 650-654页

作者： Yue, Tong Liu, Aijun Liang, Xiaohu Army Engn Univ PLA Coll Commun Engn Nanjing 210007 Peoples R China Southeast Univ Sch Informat Sci & Engn Nanjing 210096 Peoples R China

In this work, we propose a double-layer precoder and cluster-based power allocation design for low earth orbit (LEO) satellite communication with massive multiple input multiple output (MIMO). Specifically, spectral efficiency (SE) is chosen as the evaluation metric with hardware complexity, transmit power, instantaneous channel state information (iCSI) and statistical channel state information (sCSI) considered. We simplify the three-dimension (3D) air-to-ground MIMO channel under satellite environment with the angular spread model. Then, a double-layer precoder is proposed to reduce the hardware complexity and eliminate the inter-user interference (IUI) among each user cluster. With angle of departure (AoD) information, the user clustering criteria to maximize the SE and eliminate inter-cluster interference (ICI) is derived. After that, a cluster-based power allocation scheme is proposed by dividing the total transmit power into two parts, one to meet the user's minimum service requirement and the other to get optimal SE performance by waterfilling algorithm. Simulation results show that the proposed scheme achieves better SE performance compared with other feasible approaches.

关键词： Resource management Low earth orbit satellites Satellite broadcasting Interference Channel models Precoding Hardware Massive MIMO LEO satellite communication system power allocation precoder design

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Low Complexity Zeroforcing precoder design Under Per-Antenna Power Constraints

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IEEE COMMUNICATIONS LETTERS 2015年第9期19卷 1556-1559页

作者： Jang, Jinyoung Jeon, Sang-Woon Chae, Hyukjin Cha, Hyun-Su Kim, Dong Ku Yonsei Univ Sch Elect & Elect Engn Seoul 120749 South Korea Andong Natl Univ Dept Informat & Commun Engn Andong 760749 South Korea LG Elect Adv Commun Technol R&D Lab Seoul 150875 South Korea

The K-user multiple- input single-output broadcast channel is considered under per-antenna power constraints, i.e., each transmit antenna must satisfy its own power constraint. A low complexity zeroforcing (ZF) precoder is proposed when the number of transmit antennas M is greater than K. The proposed precoder design significantly reduces computational complexity for the precoder construction while attaining the sum spectral efficiency close to that achievable by the optimal ZF precoder.

关键词： Computational complexity multi-antenna per-antenna power constraints precoder design zeroforcing

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Iterative Source and Relay precoder design for Non-Regenerative MIMO Cognitive Relay Systems

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IEEE TRANSACTIONS ON COMMUNICATIONS 2015年第10期63卷 3497-3510页

作者： Budhathoki, Krishna Ram Maleki, Mehdi Bahrami, Hamid Reza Univ Akron Dept Elect & Comp Engn Akron OH 44325 USA

The problem of joint precoder design for the source and relay nodes of a cooperative cognitive radio (CR) system is investigated. We consider a non-regenerative relaying secondary CR system with underlay spectrum sharing methodology with the primary users. Based on an expression for the achievable throughput of secondary system, we develop an optimization problem to maximize the throughput subject to power constraints at the secondary source and relay, and an interference power constraint at the primary due to secondary source and relay transmission. First, we derive the structure of each of the relay and source precoding matrices separately assuming the other is known. Then, we propose an iterative technique to jointly design the source and relay precoding matrices. The results are also extended to the case where the direct source-destination link is available. Through simulation, we demonstrate the effectiveness of our proposed approach in improving the achievable throughput, and compare its performance with that of numerical optimization, source only precoding, relay only precoding, and a naive amplify-and-forward method.

关键词： Cognitive radio (CR) multi-input multi-output (MIMO) non-regenerative relaying achievable throughput precoder design

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Achievable Regions and precoder designs for the Multiple Access Wiretap Channels With Confidential and Open Messages

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IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 2022年第5期40卷 1407-1427页

作者： Xu, Hao Yang, Tianyu Wong, Kai-Kit Caire, Giuseppe UCL Dept Elect & Elect Engn London WC1E 71E England Tech Univ Berlin Fac Elect Engn & Comp Sci D-10587 Berlin Germany

This paper investigates the secrecy achievable region of multiple access wiretap (MAC-WT) channels where, besides confidential messages, the users have also open messages to transmit. All these messages are intended for the legitimate receiver (or Bob for brevity) but only the confidential messages need to be protected from the eavesdropper (Eve). We first consider a discrete memoryless (DM) MAC-WT channel where both Bob and Eve jointly decode their interested messages. By using random coding, we find an achievable rate region, within which perfect secrecy can be realized, i.e., all users can communicate with Bob with arbitrarily small probability of error, while the confidential information leaked to Eve tends to zero. Due to the high implementation complexity of joint decoding, we also consider the DM MAC-WT channel where Bob simply decodes messages independently while Eve still applies joint decoding. We then extend the results in the DM case to a Gaussian vector (GV) MAC-WT channel. Based on the information theoretic results, we further maximize the sum secrecy rate of the GV MAC-WT system by designing precoders for all users. Since the problems are non-convex, we provide iterative algorithms to obtain suboptimal solutions. Simulation results show that compared with existing schemes, secure communication can be greatly enhanced by the proposed algorithms, and in contrast to the works which only focus on the network secrecy performance, the system spectrum efficiency can be effectively improved since open messages can be simultaneously transmitted.

关键词： Decoding Receivers Wireless communication Wireless sensor networks Physical layer security MIMO communication Encoding Discrete memoryless (DM) multiple access wiretap (MAC-WT) channel Gaussian vector (GV) MAC-WT channel confidential message open message achievable rate region precoder design

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Energy-Efficient precoder design for MIMO Wiretap Channels

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IEEE COMMUNICATIONS LETTERS 2014年第9期18卷 1559-1562页

作者： Zhang, Haiyang Huang, Yongming Li, Shidang Yang, Luxi Southeast Univ Sch Informat Sci & Engn Nanjing 210096 Jiangsu Peoples R China

In this letter, we study energy-efficient precoder design in a three-node MIMO wiretap channel. Different from previous works in this area that mainly focus on secrecy rate maximization or power minimization problems, here, we aim to maximize the energy efficiency (EE) of the system subject to the secret rate and transmit power constraints, which is a nonconvex optimization and hard to tackle. To solve it, we first transform it into an equivalent parameterized polynomial subtractive form and then approximate the nonconvex equivalent problem into a convex optimization problem by means of Taylor series expansion. Based on that, an iterative algorithm with proved convergence is proposed, and this algorithm is also extended to an imperfect-channel-state-information case. Numerical results show that the proposed algorithm outperforms traditional design methods in terms of EE.

关键词： Energy efficiency (EE) physical layer security precoder design Taylor series expansion

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Joint Source and Relay precoder design in Amplify-and-Forward MIMO Relay Systems with Direct Link

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WIRELESS PERSONAL COMMUNICATIONS 2014年第1期75卷 511-530页

作者： Wang, Nan Chen, Ming Wu, Xia Dai, Jianxin Southeast Univ Natl Mobile Commun Res Lab NCRL Nanjing 210096 Jiangsu Peoples R China Nanjing Univ Posts & Telecommun Sch Sci Nanjing 210023 Jiangsu Peoples R China

This paper investigates the precoder design problem in a two-hop amplify-and-forward multiple-input-multiple-output relay system. Many previous works on this problem are based on the minimum mean-square error criterion and the presence of a direct link between the source and the destination is ignored. In this paper, we propose a new method for joint source and relay precoder design based on maximizing the mutual information between the source and the destination, taking both the relay link and the direct link into account. In contrast to previous works, which consider the transmit power constraints of the source and the relay independently, we assume a total power constraint on the sum transmit power of the source and the relay instead to study also the optimal power distribution over the two nodes. A constrained optimization problem with respect to the unknown source precoder matrix and relay precoder matrix is then formulated, which is nonconvex and very difficult to solve directly. We propose a structural constraint on the precoders by analyzing the structure of the problem and referring to related works. With the proposed precoders' structure and by applying the Hadamard's inequality, the original problem is simplified from a matrix-valued problem to a scalar-valued one. However, the new scalar-valued problem is still nonconvex and we manage to convert it into two subproblems and solve it in an iterative fashion. By using the Karash-Kuhn-Tucker (KKT) conditions, we give out the closed-form solutions to the subprobelms. Simulation results demonstrate that the proposed design method converges rapidly and significantly outperforms the existing methods.

关键词： precoder design MIMO relay Mutual information maximization Nonconvex optimization

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Coding-Enhanced Cooperative Jamming for Secret Communication: The MIMO Case

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IEEE TRANSACTIONS ON COMMUNICATIONS 2024年第5期72卷 2746-2761页

作者： Xu, Hao Wong, Kai-Kit Xu, Yinfei Caire, Giuseppe UCL Dept Elect & Elect Engn London WC1 E7JE England Southeast Univ Sch Informat Sci & Engn Nanjing 210096 Peoples R China Tech Univ Berlin Fac Elect Engn & Comp Sci D-10587 Berlin Germany

This paper considers a Gaussian multi-input multi-output (MIMO) wiretap channel with a legitimate transmitter, a legitimate receiver (Bob), an eavesdropper (Eve), and a cooperative jammer. All nodes may be equipped with multiple antennas. Traditionally, the jammer transmits Gaussian noise (GN) to enhance the security. However, using this approach, the jamming signal interferes not only with Eve but also with Bob. In this paper, besides the GN strategy, we assume that the jammer can also choose to use the encoded jammer (EJ) strategy, i.e., instead of GN, it transmits a codeword from an appropriate codebook. In certain conditions, the EJ scheme enables Bob to decode the jamming codeword and thus cancel the interference, while Eve remains unable to do so even if it knows all the codebooks. We first derive an inner bound on the system's secrecy rate under the strong secrecy metric, and then consider the maximization this bound through precoder design in a computationally efficient manner. In the single-input multi-output (SIMO) case, we prove that although non-convex, the power control problems can be optimally solved for both GN and EJ schemes. In the MIMO case, we propose to solve the problems using the matrix simultaneous diagonalization (SD) technique, which requires quite a low computational complexity. Simulation results show that by introducing a cooperative jammer with coding capability, and allowing it to switch between the GN and EJ schemes, a dramatic increase in the secrecy rate can be achieved. In addition, the proposed algorithms can significantly outperform the current state of the art benchmarks in terms of both secrecy rate and computation time.

关键词： Jamming MIMO communication Transmitters Measurement Interference Security Receivers Gaussian MIMO wiretap channel physical layer security cooperative jamming power control precoder design simultaneous diagonalization

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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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LSTM-Based Trajectory and Phase-Shift Prediction for RSMA Networks Assisted by AIRS

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IEEE TRANSACTIONS ON COMMUNICATIONS 2024年第11期72卷 6929-6942页

作者： Lima, Brena Kelly Sousa Matos-Carvalho, Joao Pedro Dinis, Rui da Costa, Daniel Benevides Beko, Marko Oliveira, Rodolfo Lusofona Univ COPELABS P-1749024 Lisbon Portugal Univ Nova Lisboa Ctr Technol & Syst CTS P-2829516 Caparica Portugal Univ Nova Lisboa Associated Lab Intelligent Syst LASI P-2829516 Caparica Portugal NOVA Univ Lisbon Dept Elect Engn P-1099085 Caparica Portugal Inst Telecomunicacoes P-3810193 Lisbon Portugal King Fahd Univ Petr & Minerals KFUPM Interdisciplinary Res Ctr Commun Syst & Sensing Dept Elect Engn Dhahran 31261 Saudi Arabia Univ Lisbon Inst Telecomunicacoes Inst Super Tecn P-1649004 Lisbon Portugal

This paper investigates rate-splitting multiple access (RSMA) networks with multiusers assisted by aerial intelligent reflecting surfaces (AIRS). To improve the sum-rate of the system, the UAV's trajectory and phase-shift vectors are optimized, in which the mobility scenarios with static and dynamic users are explored. In particular, long short-term memory (LSTM)-based frameworks for predicting the UAV's trajectory and the phase-shift of the reflecting elements of AIRS are proposed. For more insight, a third model is created by combining information from the static and dynamic scenarios. Furthermore, to improve the transmit beamforming at the BS, an algorithm based on alternating optimization (AO) under the assumptions of imperfect successive interference cancelation (SIC) is presented. Training progress and testing results are provided to demonstrate the efficiency of the proposed models. In addition, numerical simulations are presented to verify the performance gains in terms of sum-rate. The simulation results show that the UAV performs better in trajectory prediction and phase-shift when different investigated scenarios are not combined.

关键词： Long short term memory Autonomous aerial vehicles Trajectory Array signal processing Vectors Resource management Heuristic algorithms Intelligent reflecting surface (IRS) long short-term memory (LSTM) rate-splitting multiple access (RSMA) trajectory optimization precoder design unmanned aerial vehicle (UAV)

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Precoding and Trajectory design for UAV-Assisted Integrated Communication and Sensing Systems

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2024年第9期73卷 13151-13163页

作者： Chai, Rong Cui, Xianglin Sun, Ruijin Zhao, Dongmei Chen, Qianbin Chongqing Univ Posts & Telecommun Sch Commun & Informat Engn Chongqing 400065 Peoples R China Xidian Univ State Key Lab Integrated Serv Networks Xian 710126 Peoples R China McMaster Univ Dept Elect & Comp Engn Hamilton ON L8S 4L8 Canada

Benefited from the characteristics of high mobility, low cost and convenient deployment, unmanned aerial vehicles (UAVs) can be deployed in wireless communication systems as mobile base stations (BSs) to improve the communication performance of users. In addition, by deploying communication and sensing equipment and supporting efficient resource sharing of communication and sensing technologies, UAVs are expected to act as high-performance aerial platforms which integrate communication and sensing technologies. In this paper, a multi-antenna UAV-enabled joint communication and sensing scenario is examined by jointly considering the flight energy of the UAV, multi-antenna transmissions, and the user service requirements. Two optimization problems are respectively formulated for various UAV states. In particular, the problem of communication precoding and UAV flight trajectory optimization is formulated as a minimum user rate maximization problem and the joint optimization problem of UAV sensing position, communication and sensing precoding is formulated as a minimum target detection probability maximization problem. Since the minimum-rate maximization problem is a non-convex optimization problem, which is difficult to solve directly, we decompose the original optimization problem into a communication precoding design subproblem and a UAV trajectory design subproblem, and solve the two subproblems successively by applying an alternate iteration method. Specifically, a zero forcing (ZF) algorithm is put forward for solving the communication precoding design subproblem. A successive convex approximation (SCA) algorithm is applied to determine the optimal trajectory of the UAV. Based on the optimal trajectory of the UAV, the sensing position optimization problem is modeled as a weighted distance minimization problem, and then a heuristic algorithm is proposed to obtain the optimal positions. Finally, a ZF algorithm-based joint communication and sensing precoding is prese

关键词： Sensors Autonomous aerial vehicles Precoding Resource management Trajectory optimization Radar Array signal processing UAV joint sensing and communication trajectory optimization precoder design

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