检索结果-内蒙古大学图书馆

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

来源：评论

学校读者我要写书评

暂无评论

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

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

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

linear precoder Design for MIMO Interference Channels in Heterogeneous Networks

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

Robust WMMSE-Based precoder With Practice-Oriented Design for Massive MU-MIMO

引用

IEEE WIRELESS COMMUNICATIONS LETTERS 2024年第7期13卷 1858-1862页

作者： Wang, Kexuan Liu, An Zhejiang Univ Coll Informat Sci & Elect Engn Hangzhou 310027 Peoples R China

The challenge induced by imperfect channel state information (CSI) at the transmitter promotes the research of robust precoder design, among which stochastic weighted minimum mean square error (SWMMSE) has gained wide attention due to its excellent performance. However, its considerable computational complexity and extremely slow convergence rate make it impractical to be applied in real massive multi-user multiple-input (MU-MIMO) systems. To combat these drawbacks, in this letter, we first propose a robust weighted minimum mean square error (WMMSE)-based precoder with a practice-oriented design, namely PO-WMMSE. On one hand, it can be approximately seen as a deterministic equivalent of the classical SWMMSE, and thus yield a satisfying performance. On the other hand, due to the low complexity and closed-form approximation of the expectation terms in PO-WMMSE, it can quickly converge with linear complexity (in contrast, the expectation terms are approximated using sample average in SWMMSE). Then, the proposed algorithm is unfolded into a layer-wise neural network, namely PO-WMMSE Net, in which several trainable matrices are induced to compensate for the approximate loss and further accelerate convergence. Finally, numerical comparisons under imperfect CSI with existing algorithms demonstrate the significant advantages of the developed PO-WMMSE Net.

关键词： Convergence Approximation algorithms Neural networks Complexity theory Precoding Mean square error methods Iterative algorithms Robust WMMSE linear precoder deep unfolding

来源：评论

学校读者我要写书评

暂无评论

Reconfigurable Intelligent Surface-Aided MIMO Secure Communication System With Finite-Alphabet Inputs

引用

TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES 2024年第12期35卷

作者： Wu, Yingjie Wang, Shilian Luo, Junshan Chen, Weiyu Natl Univ Def Technol Coll Elect Sci & Technol Changsha Peoples R China

Existing research in the field of reconfigurable intelligent surface (RIS)-aided physical layer security assumed Gaussian signal inputs, which is inapplicable to practical communication systems, where finite-alphabet inputs are used. This paper considers an RIS-aided secure multiple-input multiple-output wireless communication system with finite-alphabet inputs, where artificial noise (AN) is invoked at the transmitter to enhance the secure performance. In order to maximize the secrecy rate (SR), the data precoder, the AN precoder, and RIS's reflection coefficients are jointly optimized subject to the constraints of the maximum transmit power and the finite resolution of the phase shifts of RIS. Particularly, due to the finite-alphabet input, the exact expression of the SR involves multiple integrals and lacks a closed-form expression. To tackle this, a closed-form lower bound of the SR is derived as the objective function, which is theoretically proved to be equal to the SR in the high signal-to-noise ratio region. Numerical results show that the RIS can significantly improve the secure performance, and the maximum possible SR (due to the finite-alphabet inputs) can be achieved by increasing the number of the RIS's elements or by increasing the transmit power, which shows the performance advantage of the proposed optimization algorithm.

关键词： artificial noise finite-alphabet inputs Intelligent reflecting surface linear precoder secrecy rate

来源：评论

学校读者我要写书评

暂无评论

On the Performance of Multi-Way Massive MIMO Relay With linear Processing

引用

IEEE ACCESS 2024年 12卷 62006-62029页

作者： Muharar, Rusdha Yunida, Yunida Nasaruddin, Nasaruddin Univ Syiah Kuala Dept Elect & Comp Engn Banda Aceh 23111 Indonesia

Previous works on multi-way massive MIMO relay only consider either Matched Filter (MF)/Maximum Ratio Transmission (MRT) or Zero Forcing as the pairs for the detector (or receiver) and the precoder for the uplink and downlink transmissions, respectively. This paper considers a more complex linear receiver/precoder pair, i.e., the minimum mean square error (MMSE) receiver and the regularized zero-forcing (RZF) precoder. Obtaining the signal-to-interference plus noise ratio (SINR) or the spectral efficiency (SE) of this pair is difficult. In this work, this issue is resolved by performing the analysis in the large system regime, where the number of users (K) and the number of antennas (N) at the relay go unbounded with a constant ratio. We assume that perfect channel state information (CSI) is available at the massive MIMO relay and employ the time-division duplex (TDD) protocol with perfect channel reciprocity. We derived the large system SINR approximations not only for the MMSE-RZF pair but also for the ZF-ZF and MF-MRT pairs. Numerical simulations show that the large system results are accurate for practical finite system sizes. We also obtained the limiting SINR for all pairs in the massive MIMO regime where K is finite, but N goes unbounded ( $K/N\to 0$ ) for different power scaling laws. In this regime, it is interesting to see that when the uplink power is scaled by N, the limiting SINRs of all pairs become equal, and thus, the least complex pair, MF-MRT, becomes beneficial.

关键词： Multi-way relay massive MIMO linear receivers linear precoder large system analysis random matrix theory

来源：评论

学校读者我要写书评

暂无评论

Sum-Rate-Optimal Statistical Precoding for FDD Massive MIMO Downlink With Deterministic Equivalents

引用

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2022年第7期71卷 7359-7370页

作者： Zhang, Yu-Xuan Lu, An-An Gao, Xiqi Southeast Univ Natl Mobile Commun Res Lab NCRL Nanjing 210096 Peoples R China Purple Mt Labs Nanjing 211111 Peoples R China

Statisticalprecoding is considered as a promising technique to release the channel state information (CSI) acquisition overhead. This article investigates a linear precoder design for frequency-division duplexing (FDD) massive MIMO downlink with only statistical CSI. We use a beam-based statistical channel model to capture the spatial correlation characteristics of the channels. The objective of the precoder design is to maximize the ergodic sum-rate under total power constraint. Based on the minorize-maximize (MM) algorithm, a stationary solution of the ergodic sum-rate maximization problem can be obtained. The stationary solution is shown to be the same as the optimal solution to a stochastic weighted minimum mean square error (SWMMSE) problem. Further, we establish the approximations for rate expressions with deterministic equivalent. The deterministic equivalents of ergodic rates are only related to the precoding matrices and statistical CSI. According to these closed-form rate expressions, we propose a linear precoder design algorithm and obtain tractable expressions for precoding matrices. Numerical comparisons with the existing precoding approach demonstrate the significant advantages of the developed algorithm.

关键词： Downlink Massive MIMO Precoding Uplink Transmission line matrix methods Training Signal to noise ratio Deterministic equivalent FDD linear precoder MM algorithm massive MIMO statistical CSI

来源：评论

学校读者我要写书评

暂无评论

Optimization of Block Diagonalization for MU-MIMO Downlink System Using PSO 1

引用

4th International Conference on Internet of Things and Connected Technologies (ICIoTCT)

作者： Doneriya, Archana Panchal, Manish Lal, Jaya Dipti Shri GS Inst Technol & Sci Indore 452003 Madhya Pradesh India

ISBN: (数字)9783030398750

ISBN: (纸本)9783030398750;9783030398743

Multiuser Multiple-Input Multiple-Output (MU-MIMO) system is to serve a number of users simultaneously. Here the aim is performance enhancement of an MU-MIMO system in terms of capacity and bit error rate (BER). To enhance the bit error rate (BER) performance of the system particle swarm optimizer (PSO) combined with Block Diagonalization (BD) precoding technique. PSO algorithm employing on BER function of BD to minimizing BER of the system. The main advantage of PSO is that in case of the performance index cannot be formulated by simple equations it can find out the solution. Simulation results show that PSO-BD can achieve significantly superior BER performance than precoding technique over the different fading channel environment like Rayleigh, Rician, and Nakagami.

关键词： MU-MIMO BER Fading channel linear precoder PSO

来源：评论

学校读者我要写书评

暂无评论

Low-Complexity Weighted Sum-Rate Maximization of MIMO MAC with Finite-Alphabet Inputs

Low-Complexity Weighted Sum-Rate Maximization of MIMO MAC wi...

引用

IEEE Global Communications Conference (GLOBECOM) on Advanced Technology for 5G Plus

作者： Yang, Pei Yang, Hongwen Beijing Univ Posts & Telecommun Sch Wireless Commun Ctr Beijing 100876 Peoples R China

ISBN: (纸本)9781728182988

This paper investigates the linear precoding design for multiple-input multiple-output (MIMO) multiple access channel (MAC) with finite-alphabet inputs. Since the mutual information (MI) and its gradient-minimum mean-square error (MMSE) matrix lack closed-form solutions, traditional MI/MMSE based precoding scheme suffers from a prohibitive burden of computation. To address this problem, we first derive an asymptotically optimal lower bound of MI, which is more computationally efficient. Based on the lower hound, we derive a suboptimal precoding scheme that maximizes the weighted sum-rate (WSR) of MIMO MAC with finite-alphabet inputs. Furthermore, a low-complexity precoding algorithm is proposed to obtain the numerical results of precoding matrices. Numerical results confirm a higher efficiency of the proposed precoding scheme compared with traditional MI/MMSE based preceding strategies.

关键词： Weighted sum-rate maximization linear precoder low-complexity finite-alphabet inputs

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：