检索结果-内蒙古大学图书馆

Design and Analysis of Full-Duplex massive Antenna Array Systems Based on Wireless Power Transfer

IEEE TRANSACTIONS ON COMMUNICATIONS 2021年第2期69卷 1302-1316页

作者： Mohammadi, Mohammadali Chalise, Batu K. Suraweera, Himal A. Ngo, Hien Quoc Ding, Zhiguo Shahrekord Univ Fac Engn Shahrekord *** Iran New York Inst Technol Dept Elect & Comp Engn Old Westbury NY 11568 USA Univ Peradeniya Dept Elect & Elect Engn Peradeniya 20400 Sri Lanka Queens Univ Belfast Inst Elect Commun & Informat Technol ECIT Belfast BT3 9DT Antrim North Ireland Univ Manchester Sch Elect & Elect Engn Manchester M13 9PL Lancs England

In this paper, we consider a wireless communication system, where a full-duplex hybrid access point (HAP) transmits to a set of cellular users (CUs) in the downlink channel, while receiving data from a set of energy-constrained communication devices like user equipments (UEs) in the uplink channel. The HAP has a massive antenna array, while all CUs and UEs nodes are equipped with single antenna each. Time switching protocol is adopted, where channel estimation, wireless power transfer, and information transfer between UEs, CUs and full-duplex HAP are performed in two phases. By adopting maximum ratio combining/maximum ratio transmission (MRC/MRT) and zero-forcing (ZF) processing at the HAP, the uplink and downlink achievable rate expressions in the large-antenna limit and approximate results that hold for any finite number of antennas are derived. Moreover, the optimum energy beamformer and time-split parameter at the HAP are found to maximize the downlink sum-rate under a constraint on uplink sum-rate. Our findings reveal that our proposed energy beamforming with ZF and MRC/MRT processing for information transfer achieves up to 47% and 14% average sum rate gains as compared with the suboptimum energy beamformer, respectively.

关键词： Uplink Downlink Antenna arrays Copper Array signal processing Channel estimation Wireless communication Full-duplex (FD) beamforming massive multiple-input multiple-output wireless power transfer

来源：评论

学校读者我要写书评

暂无评论

Distributed Detection for Centralized and Decentralized Millimeter Wave massive MIMO Sensor Networks

引用

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2021年第8期70卷 7665-7680页

作者： Chawla, Apoorva Singh, Rakesh Kumar Patel, Adarsh Jagannatham, Aditya K. Hanzo, Lajos Indian Inst Technol Kanpur Dept Elect Engn Kanpur 208016 UP India Indian Inst Technol Mandi Sch Comp & Elect Engn Mandi 175005 HP India Univ Southampton Dept Elect & Comp Sci Southampton SO17 1BJ Hants England

Multi-sensor millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) wireless sensor networks (WSNs) relying on both distributed (D-MIMO) and centralized (C-MIMO) configurations are conceived. Hybrid combining based low complexity fusion rules are constructed for the fusion center (FC) for both D-MIMO and C-MIMO systems employing a partially connected structure (PCS) and a fully connected structure (FCS), respectively. The decision rules are based on the transmission of local binary sensor decisions and also take into account the accuracy of local detection at the individual sensors. Closed-form analytical expressions are derived for the probabilities of false alarm and correct detection to analyze the system's performance. Furthermore, the asymptotic distributed detection (DD) performance corresponding to both antenna architectures is analyzed in the large-scale antenna regime along with the pertinent power scaling laws. Additionally, digital signaling matrices are designed for enhancing the system performance. Our simulation results quantify the performance gains of the proposed architectures, which closely match the analytical results.

关键词： Millimeter wave distributed detection massive multiple-input multiple-output centralized distributed hybrid combining Neyman-Pearson criterion wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

Energy-Efficient Design for massive MIMO With Hardware Impairments

引用

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2021年第2期20卷 843-857页

作者： Liu, Zhihui Lee, Chia-Han Xu, Wenjun Li, Shengyu Beijing Inst Satellite Informat Engn State Key Lab Space Ground Integrated Informat Te Beijing 100095 Peoples R China Natl Chiao Tung Univ Coll Elect & Comp Engn Hsinchu 30010 Taiwan Beijing Univ Posts & Telecommun Key Lab Universal Wireless Commun Minist Educ Beijing 100078 Peoples R China

In this paper, an energy-efficient design for massive multiple-input multiple-output (MIMO) systems is studied with the consideration of hardware impairments. The objective is to maximize the system energy efficiency of both uplink and downlink transmissions by jointly optimizing the number of antennas at the base station, the number of served users, and the transmit power. Firstly, by considering the linear distortion due to hardware impairments, the resultant channel estimation error from both distortion and noise is analyzed, following which closed-form approximations for the average achievable uplink/downlink rates are derived. Then, a massive MIMO energy efficiency optimization problem considering hardware impairments is formulated. By applying the techniques of relaxation and change of variables, an alternative optimization with build-in bisection search (AO-BS) algorithm is proposed with the quasi-concavity of the transformed objective function theoretically proved. The performance of the proposed AO-BS algorithm is validated through numerical simulations, which shows fast convergence to near-optimal solutions. Compared with existing approaches, the proposed scheme improves the system energy efficiency greatly when the hardware impairments are considered. Furthermore, the system design guideline in terms of the number of antennas, the number of served users, and the transmit power is provided.

关键词： Hardware massive MIMO Optimization Transmitting antennas Channel estimation Uplink Power demand massive multiple-input multiple-output energy efficiency hardware impairments linear distortion channel estimation error alternative optimization

来源：评论

学校读者我要写书评

暂无评论

Towards green communication in 5G systems: Survey on beamforming concept

引用

IET COMMUNICATIONS 2021年第1期15卷 142-154页

作者： Mohamed, Khalid S. Alias, Mohamad Y. Roslee, Mardeni Raji, Yusuf M. Multimedia Univ Fac Engn Ctr Wireless Technol CWT Cyberjaya 63100 Malaysia Multimedia Univ Fac Engn Fibre Opt Res Ctr FORC Cyberjaya Malaysia

Connectivity in recent wireless communication is accessible anywhere because of the large footprints of both cellular and WiFi networks. Yet, the broadcasting in wireless technology increases the susceptibility of signals to contemporary challenges such as interference, fading, and distortion. In addition, the energy of signals is lost because of Doppler effects and scattering caused by the obstacles in the channel. The use of smaller base stations, exploitation of higher frequencies and millimetre waves, and the expansion towards massive multiple-input multiple-output makes beamforming one of the most important key technologies in fifth generation (5G) systems. Besides the energy efficiency enhancements because of the narrower beamwidths, it reduces the broadcasting probability by adaptively steering the signals towards the targeted receivers while reducing the reception for nearby receiver, that is less interference. It also increases the energy efficiency of the signals because of the narrow beamwidth. In this work, the 5G technology challenges, two of the most known channel models, applications is briefly received. The fundamentals of beamforming technology are also described and provide the necessary information to understand the technology.

关键词： fading channels millimetre waves broadcasting probability radio receivers electromagnetic wave scattering MIMO communication 5G technology cellular WiFi networks telecommunication power management millimetre wave communication array signal processing wireless LAN green communication smaller base stations cellular radio massive multiple-input multiple-output wireless communication energy conservation 5G mobile communication radiofrequency interference beamforming technology millimetre wave receivers wireless technology Doppler effects Doppler effect fifth generation systems

来源：评论

学校读者我要写书评

暂无评论

A Deep Q-Network Based-Resource Allocation Scheme for massive MIMO-NOMA

引用

IEEE COMMUNICATIONS LETTERS 2021年第5期25卷 1544-1548页

作者： Cao, Yanmei Zhang, Guomei Li, Guobing Zhang, Jia Xi An Jiao Tong Univ Sch Informat & Commun Engn Xian 710049 Peoples R China

In this letter, a deep Q-learning network (DQN) based resource allocation (RA) scheme is proposed for the massive multiple-input multiple-output (MIMO)- nonorthogonal multiple access (NOMA) systems. The reinforcement learning (RL) frame is developed to build an iterative optimization structure for user clustering, power allocation and beamforming. Specifically, a DQN is designed to group the users based on the reward item calculated after power allocation and beamforming. The objective is to maximize the reward item, i.e., the system throughput. Then, a back propagation neural network (BPNN) is used to realize the power allocation. During the training of BPNN, the exhaustive search results in the quantized power set are taken as the output labels. Simulation experiments show that the proposed scheme can achieve high system spectrum efficiency approximating to the exhaustive search based on user clustering and power allocation.

关键词： Non-orthogonal multiple access massive multiple-input multiple-output resource allocation deep Q-learning network back propagation neural network

来源：评论

学校读者我要写书评

暂无评论

A Dynamic 3-D Wideband GBSM for Cooperative massive MIMO Channels in Intelligent High-Speed Railway Communication Systems

引用

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2021年第4期20卷 2237-2250页

作者： Zhou, Tao Yang, Yi Liu, Liu Tao, Cheng Liang, Yiqun Beijing Jiaotong Univ Inst Broadband Wireless Mobile Commun Beijing 100044 Peoples R China China Acad Railway Sci Ctr Natl Railway Intelligent Transportat Syst Eng Beijing 100081 Peoples R China

Coordinated multipoint (CoMP) and massive multiple-input multiple-output (mMIMO) are two of promising technologies in future intelligent high-speed railway (HSR) communication systems, whose performance is fundamentally determined by the characteristics of cooperative mMIMO channels. This article proposes a dynamic three-dimensional (3-D) wideband geometry-based stochastic model (GBSM) for HSR cooperative mMIMO channels. The proposed GBSM employs a sphere model and two elliptic-cylinder models to describe common and uncommon clusters for different links, and integrates the dynamic cluster evolution in both time and array domains. Statistical properties of the cooperative mMIMO model are investigated, such as multi-link spatial cross-correlation function and sum rate capacity. A corresponding dynamic 3-D wideband simulation model for the HSR cooperative mMIMO channel is also proposed. Finally, numerical results of the statistical properties are analyzed, and the proposed model is validated by realistic HSR channel measurement data, in terms of dual-link spatial cross-correlation and channel capacity. This model is more practical and will be helpful for facilitating the design and performance evaluation of future intelligent HSR communication systems.

关键词： Intelligent high-speed railway railway communication massive multiple-input multiple-output channel modeling multi-link

来源：评论

学校读者我要写书评

暂无评论

Age of Information in Grant-Free Random Access With massive MIMO

引用

IEEE WIRELESS COMMUNICATIONS LETTERS 2021年第7期10卷 1429-1433页

作者： Yu, Baoquan Cai, Yueming Army Engn Univ PLA Coll Commun Engn Nanjing 210007 Peoples R China

This letter aims to analyze and optimize the status update performance in a grant-free random access system with massive multiple-input multiple-output. We analyze the status update process, and derive a closed-form approximate expression of the average age of information (AoI). Then, in the asymptotic case where the large number of antennas at the base station causes the packet error rate to approach zero, we jointly optimize access control and pilot length to reduce the average AoI. Simulation and numerical results verify the correctness of the theoretical analysis, and show that the proposed scheme can achieve the same performance as the exhaustive search scheme and outperforms the benchmark ones.

关键词： Age of information massive multiple-input multiple-output grant-free random access

来源：评论

学校读者我要写书评

暂无评论

Deep reinforcement learning for the computation offloading in MIMO-based Edge Computing

引用

AD HOC NETWORKS 2023年 141卷

作者： Sadiki, Abdeladim Bentahar, Jamal Dssouli, Rachida En-Nouaary, Abdeslam Otrok, Hadi Concordia Univ Concordia Inst Informat Syst Engn Montreal PQ Canada Inst Natl Postes Telecommun STRS Lab Rabat Morocco Khalifa Univ Dept EECS Abu Dhabi U Arab Emirates

Multi-access Edge Computing (MEC) has recently emerged as a potential technology to serve the needs of mobile devices (MDs) in 5G and 6G cellular networks. By offloading tasks to high-performance servers installed at the edge of the wireless networks, resource-limited MDs can cope with the proliferation of the recent computationally-intensive applications. In this paper, we study the computation offloading problem in a massive multiple-input multiple-output (MIMO)-based MEC system where the base stations are equipped with a large number of antennas. Our objective is to minimize the power consumption and offloading delay at the MDs under the stochastic system environment. To this end, we introduce new formulation of the problem as a Markov Decision Process (MDP) and propose two Deep Reinforcement Learning (DRL) algorithms to learn the optimal offloading policy without any prior knowledge of the environment dynamics. First, a Deep Q-Network (DQN)-based algorithm to solve the curse of the state space explosion is defined. Then, a more general Proximal Policy Optimization (PPO)-based algorithm to solve the problem of discrete action space is introduced. Simulation results show that our DRL-based solutions outperform the state-of-the-art algorithms. Moreover, our PPO algorithm exhibits stable performance and efficient offloading results compared to the benchmarks DQN and Double DQN (DDQN) strategies.

关键词： Multi-access Edge Computing massive multiple-input multiple-output Deep reinforcement learning Computation offloading

来源：评论

学校读者我要写书评

暂无评论

Hybrid analog/digital signal detector with reduction in number of receive antennas for multiuser uplink massive MIMO systems

引用

SIGNAL PROCESSING 2022年 198卷

作者： Lee, Yinman Natl Chi Nan Univ Dept Elect Engn Puli Taiwan

Low-complexity signal detection with a large number of receive antennas is crucial to the success of multiuser uplink massive multiple-input multiple-output (MIMO) systems. In this paper, we introduce a new hybrid analog/digital signal detector with a reduction in the number of receive antennas (RNRA) for this case. Specifically, a convex optimization problem is formulated to decrease the number of active antennas used for receiving signals. With the proposed hybrid structure, the number of radiofrequency (RF) chains is reduced to equal the number of uplink users, and the tuning of phase shifters in the analog part is free from optimization. Besides, an efficient decision-aided Gauss-Seidel (DA-GS) iteration is used in the digital part to lower the implementation complexity and improve the ultimate error rate of the system at the same time. All these make our detector be comparable to the suboptimal fully-digital minimum-mean-squared error (MMSE) detector in terms of the error-rate performance, and become a complete low-complexity solution for signal detection in this kind of usage. (c) 2022 Elsevier B.V. All rights reserved.

关键词： massive multiple-input multiple-output (MIMO) system Signal detection Antenna selection Hybrid analog digital structure Equal-gain combining (EGC) Gauss-Seidel (GS) iteration

来源：评论

学校读者我要写书评

暂无评论

Downlink Processing of massive MIMO-NOMA Networks Using Cell Sectored Approach for 5G Communication

引用

TRAITEMENT DU SIGNAL 2022年第1期39卷 133-144页

作者： Bhardwaj, Lokesh Mishra, Ritesh Kumar Natl Inst Technol Patna Dept Elect & Commun Engn Patna 800005 Bihar India

This article shows the heterogeneous network of massive multiple-input multiple-output (mMIMO) system and Non-Orthogonal multiple Access (NOMA) scheme in Downlink (DL) scenario. The performance of mMIMO systems using Maximal Ratio Transmission (MRT) and Zero-Forcing (ZF) precoding techniques has been investigated and compared with mMIMO-NOMA systems. The problem of Pilot Contamination (PC) arises when the channel is estimated at the Base Station (BS) due to the reuse of the same pilot matrix in co channel cells. To reduce the co-channel interference, it has been shown that the Cell Sectoring (CS) of 120 degree and 60 degree can be employed. Sum-Rate (SR) capacities have been derived for the mMIMO and the mMIMO-NOMA systems for un-sectored and sectored cells considering both Perfect Channel State Information (PCSI), and Imperfect Channel State Information (ICSI). In a multi-cell scenario, it has been shown that the mMIMO-NOMA system exploits the precoding advantage along with successive interference cancellation and outperforms the standalone mMIMO system. Further, the ZF precoded mMIMO-NOMA system with 60 degree CS has been observed to be the most appropriate candidate amongst all three systems viz. 120 degree CS, 60 degree CS, and unsectored system in terms of reduced interference.

关键词： cell sectoring channel state information massive multiple-input multiple-output non-orthogonal multiple access pilot contamination spectral efficiency

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

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

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

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

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：