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Deep Convolutional linear precoder Neural Network for Rate Splitting Strategy of Aerial Computing Networks

IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING 2024年第6期11卷 5228-5243页

作者： Wang, Zhijie Ma, Ruhui Shi, Hongjian Cai, Zinuo Lin, Liwei Guan, Haibing Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn Shanghai 200240 Peoples R China Fujian Univ Technol Sch Comp Sci & Math Fuzhou 350011 Peoples R China

Aerial computing networks arefacing the challenge of massive node access, where user devices generally have stringent latency and robustness requirements. Rate Splitting Multiple Access (RSMA) is a general and robust multiple access framework for the aerial computing communication architecture, which splits each user's message into common and private parts and superposes the common message and the private message for transmission to manage interference among multiple users. We propose a simple deep convolutional neural network to implement the linear precoder design for RSMA in aerial computing networks to reduce the average optimization time and thus improve the massive communication efficiency. And we also propose two patterns of combining the linear precoder design model with the Channel State Information (CSI) feedback self-encoder model, one use the CSI feedback model decoder output as the input of the precoder model, and the other is to extract the features directly from the feedback codeword without recovering the complete CSI at the base station side, which can help reduce the computational effort and time of the optimization solution. Simulations show that the proposed models are close to the communication rate of the traditional strategy in optimizing the linear precoder but have a substantially higher time efficiency.

关键词： rate splitting Aerial computing networks linear precoder CSI feedback CSI feedback deep convolution neural network deep convolution neural network CSI feedback deep convolution neural network

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PSO Based Sum Rate Optimization for MU-MIMO linear precoder with Imperfect CSI

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WIRELESS PERSONAL COMMUNICATIONS 2017年第3期92卷 1039-1051页

作者： Kejalakshmi, V. Arivazhagan, S. KLN Coll Engn Sivagangai India Mepco Schlenk Engn Coll Sivakasi India

It is well known that if the perfect CSI is available at the BS, achieving the maximum sum throughput is equivalent to minimizing the product of mean square error matrix determinants (PDetMSE). Due to the presence of background noise in the estimated signal, the channel estimation errors are unavoidable. Hence, in this paper, it is assumed that the imperfect CSI is available at the BS and the channel estimation error variance is known at the transmitter. It is shown that maximizing the achievable sum rate is not exactly equal to minimizing the PDetMSE if the channel estimation error variance is included in the system design. Particle Swarm Optimization algorithm is used here to solve the sum rate maximization problem under the imperfect CSI. The simulation results compare the proposed system, which considers the channel estimation error variance as an integral part of the system design, with an existing system which assumes the perfect CSI at the transmitter side.

关键词： MIMO Product of Mean square error matrix determinants (PDetMSE) Imperfect CSI PSO linear precoder Sum throughput

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Joint linear precoder and power allocation design for uplink MIMO systems with limited feedback

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The Journal of China Universities of Posts and Telecommunications 2009年第3期16卷 14-18页

作者： YAN Zhi WANG Wen-bo WANG Jian-feng ZHENG Kan Key Laboratory of Universal Wireless Communication Ministry of Education Beijing University of Posts and Telecommunications Beijing 100876 China

In this article, the authors consider joint design of a linear precoder and power allocation for uplink multiuser multiple input multiple output （MIMO） communication systems with limited feedback to improve the bit error rate （BER） performance for all users. precoder selection from the codebook set is directly based on the exact BER performance, instead of other suboptimal criteria, to achieve the optimal precoder matrix, but closed-form expressions may not exist in the view of power allocation based directly on the BER criterion. From this perspective, the authors propose the joint transmitter optimization algorithm for the consideration of precoder design, with total power constraint for asymptotic MBER （AMBER） criterion. In this AMBER criterion, a closed-form solution has been derived for power allocation with an optimal precoder. The simulation results show that the proposed joint design algorithm can achieve a much better performance than precoding with uniform power allocation and only consideration of power allocation.

关键词： MIMO linear precoder power allocation spatial multiplexing multiuser

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linear precoder Design for MIMO Interference Channels in Heterogeneous Networks

Linear Precoder Design for MIMO Interference Channels in Het...

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2nd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS 2015)

作者： Nguyen Dinh Long Ha Hoang Kha Nguyen Quang Tuan Ho Chi Minh City Univ Technol Ho Chi Minh City Vietnam

ISBN: (纸本)9781467366403

This paper is concerned with the heterogeneous networks (HetNets) in which a macro base station (MBS) serves one macro-user (MU) while a femto base station (FBS) communicates with multiple femto users (FUs). All terminals are equipped with multiple antennas and share the common frequency band. The signal transmission in such HetNets suffers both intra-tier and cross-tier interference. This paper will introduce downlink transmission strategies of the MBS and FBS to eliminate all interference and maximize the system channel capacity. Particularly, the MBS deploys the eigenmode transmission while the FBS aligns its signals into the unused eigenmodes of the MBS transmission. In addition, interference at the FUs is cancelled by aligning the interference signals into the null space of the proper interference channels. Finally, the precoders at the FBS are designed to maximize the total sum rate by an efficient convex optimization algorithm. The numerical experiments are provided to evaluate the sum rate performance of our method in comparison with the other existing approaches.

关键词： linear precoder interference alignment MIMO interference channel heterogeneous network convex optimization

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A Zero-Forcing linear precoder for Downlink Multi-user LoS MIMO Channels

A Zero-Forcing Linear Precoder for Downlink Multi-user LoS M...

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6th International Symposium on Telecommunications (IST) with Emphasis on Information and Communication Technology

作者： Alimadadi, Mohammadreza Mohammadi, Abbas Abdipour, Abdolali Soltani, Mohammad Dehghani Amirkabir Univ Technol Tehran Iran

ISBN: (纸本)9781467320733

In this paper we introduce an algorithm to design a zero-forcing linear precoder for downlink multi-user Line-of-Sight (LoS) MIMO systems. We observe that the existence of LoS component, changes the restrictions of conventional SVD-BD approach on channel dimensions and correlation of users. In addition, we find a new criterion that relates the received signal to noise ratio and optimal form of pure LoS channel matrix. We perceive that this algorithm improves performance nearly 1.5dB in compare to the SVD-BD method for Rayleigh channels in the case of two users.

关键词： MIMO systems linear precoder block diagonalization LoS channel Shannon capacity uniform linear array

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Optimal linear precoder design for space-time block coded systems

Optimal linear precoder design for space-time block coded sy...

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2nd IEEE International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2006)

作者： Zhao, Zhenshan Xu, Guozhi Shanghai Jiao Tong Univ Dept Elect Engn Shanghai 200030 Peoples R China

ISBN: (纸本)9781424405169

Taking the pairwise error probability (PEP) as the performance criterion and exploiting the channel covariance information at the transmitter, this paper studies the optimal linear precoder design of the correlated multiple-input multiple-output (MIMO) wireless system. The precoder can be used along with an), space-time block codes (STBC), which is an extension of reference [10]. The optimal beamforming direction of the precoder is proved to match the structure of STBC and transmit correlation matrix. The optimal power allocation scheme is related to transmit correlation matrix, receive correlation matrix and STBC The quasi-orthogonal space-time block codes (QSTBC) is taken as an illustration to investigate the performance of the optimal precoder.

关键词： linear precoder space-time block codes pairwise error probability

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EXIT-based optimization of linear precoder for MIMO encoded systems assuming turbo detection

EXIT-based optimization of linear precoder for MIMO encoded ...

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IEEE International Conference on Communications (ICC)

作者： Nhat-Quang Nhan Rostaing, Philippe Amis, Karine Collin, Ludovic Radoi, Emanuel Univ Brest Univ Europeenne Bretagne CNRS UMR Lab STICC 6285 Brest France Telecom Bretagne Inst Mines Telecom Signal & Commun Dept CNRSUMR Lab STICC 6285 Technopole Brest Iroise CS 83818 F-29238 Brest 3 France

ISBN: (纸本)9781467389990

The concatenation of the multiple-input multiple-output (MIMO) linear precoder with an outer forward error correction (FEC) code at the transmitter is investigated in this paper. At the receiver side, the turbo detection is taken into account. It iteratively exchanges the extrinsic information between a soft-demapper and a FEC soft-decoder. We firstly propose a new precoder named F-I1 designed from an extrinsic information transfer (EXIT) chart analysis. The proposed precoder aims to optimize the iterative receiver convergence by maximizing the ending point I-1 of the soft-demapper EXIT function. For the sake of low-complexity, F-I1 is designed for two data streams MIMO transmission with 4-QAM only. Secondly, to cope with the higher data streams transmission, a global b = 2K data streams system is split into K two data streams subsystems. F-I1 is then applied at each subsystem. Finally, we propose a new algorithm to optimize the inter-subsystems power allocation by maximizing the I-1 of the global system.

关键词： linear precoder turbo detection iterative receiver EXIT chart MIMO-OFDM

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Multiuser diversity for MIMO broadcast and multiple access channel with linear precoder and receiver

Multiuser diversity for MIMO broadcast and multiple access c...

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15th IEEE International Symposium on Personal, Indoor, Mobile, Radio Communications (PIMRC 2004)

作者： Shao, X Yuan, JH Rapajic, P Univ New S Wales Sch Elect Engn & Telecom Sydney NSW 2052 Australia

ISBN: (纸本)0780385233

In this paper, we study the multiuser diversity in both multiple-input multiple output (MIMO) multiple-access channel (MAC) and MIMO broadcast channel (BC). We consider multi-user scheduling with linear receivers for uplink and linear precoders for downlink. In each time slot, a group of users are selected in either transmission or reception. Based on the performance analysis, a criterion of selecting a number of active users to optimize error performance is presented. We show that the linear processing for downlink and uplink achieves the same SNR. This makes it convenient to use a single scheduling algorithm in both downlink and uplink. Furthermore, we present an analysis of the performance of the proposed scheduling algorithm. It is shown that the analysis agrees with the simulation.

关键词： multiuser diversity MIMO BC MIMO MAC linear precoder linear receiver

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linear precoder Designs over MIMO Interference Channels with Finite-Alphabet Inputs

Linear Precoder Designs over MIMO Interference Channels with...

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IEEE Global Communications Conference

作者： Yongpeng Wu Chengshan Xiao Xiqi Gao John D. Matyjas Zhi Ding National Mobile Communications Research Laboratory Southeast University Nanjing 210096 P. R. China Department of Electrical and Computer Engineering Missouri University of Science and Technology Rolla MO 65409 USA Air Force Research Laboratory/RIT Rome NY 13441 USA Department of Electrical and Computer Engineering University of California Davis CA 95616 USA

ISBN: (纸本)9781479913510

This paper investigates the linear precoder design for multiple-input multiple-output (MIMO) K-user interference channels with finite alphabet inputs. We first obtain the general explicit expressions of the achievable rate of each user in MIMO interference channel systems. We study optimal transmission strategies in both high signal-to-noise ratio (SNR) and low SNR regions. We show that given finite alphabet inputs, a simple power allocation design can achieve optimal performance. In contrast, the well-known interference alignment technique for Gaussian input scenarios, only utilizes a partial interference-free signal space for transmission and leads to a constant performance loss when it is applied to finite-alphabet input scenarios. We determine this constant rate loss at high SNR. Moreover, we establish necessary conditions for the linear precoder design of the weighted sum-rate maximization. We also develop an efficient iterative algorithm for determining precoding matrices of all the users. Our numerical results show that for the practical digital modulated signals from discrete constellations, the proposed iterative algorithm achieves considerably higher sum-rate than the existing methods.

关键词： linear precoder achievable rate proposed iterative Interference channels multiple input multiple output systems Iterative algorithms signal to noise ratios transmission strategies signal space linear optimum performance

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DESIGN OPTIMIZATION OF linear precoderS FOR COMPLEX VECTOR GAUSSIAN CHANNELS WITH FINITE ALPHABET INPUTS

DESIGN OPTIMIZATION OF LINEAR PRECODERS FOR COMPLEX VECTOR G...

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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Xiao, Chengshan Zheng, Yahong Rosa Ding, Zhi Missouri Univ Sci & Technol Dept Elect & Comp Engn Rolla MO 65409 USA Univ Calif Davis Dept Elect & Comp Engn Davis CA 95616 USA

ISBN: (纸本)9781457705397

We study the design optimization of linear precoders that maximize the mutual information in complex-valued vector Gaussian channels under finite alphabet inputs. It is well known that mutual information of a vector channel with discrete constellation source is a highly nonlinear and non-concave function of the linear precoder matrix G, thereby complicating the precoder design optimization. In this paper, we show that the mutual information is a concave function of W = G(h)H(h)HG, where H is the complex-valued channel matrix and superscript "h" represents conjugate transpose. We further propose an iterative algorithm for solving the globally optimal linear precoder G. Illustrative results show that the proposed iterative algorithm is very robust and efficient for global convergence.

关键词： linear precoder mutual information vector Gaussian noise channel global optimization

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