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Performance analysis for uplink Massive MIMO systems with a large and random number of UEs

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Science China(Information Sciences) 2016年第2期59卷 163-171页

作者： Ang YANG Chengwen XING Zesong FEI Jingming KUANG School of Information and Electronics Beijing Institute of Technology

In this paper, we analyze the ergodic achievable rate of an uplink massive multi-user multipleinput multiple-output(mimo) system with a large and Poisson distributed number of users. In the considered scenario, multiple user equipments(UEs) transmit their information to a base station equipped with a very large number of antennas. New asymptotic expressions for the ergodic achievable rate for large and deterministic number of users are derived for both maximum ratio combining(MRC) detector and zero-forcing(ZF) detector,as well as the ergodic achievable rate for large and random number of users. Simulation results assess the accuracy of these analytical expressions. It is shown that compared with the MRC detector, ZF detector can achieve much higher spectrum efficiency. Also, the results provide a meaningful fact that with different settings the randomness of the number of users will result in different extents of impact on the performance of Massive MIMO.

关键词： Massive MIMO large numbers of UEs maximum ratio combining detector zero-forcing detector ergodic achievable rates

Model-Driven Deep Learning for massive Space-Domain Index Modulation mimo Detection

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中国通信:英文版 2023年第10期20卷 43-57页

作者： Ping Yang Qin Yi Yiqian Huang Jialiang Fu Yue Xiao Wanbin Tang The National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of ChinaSichuan 611731China

In this paper,a powerful model-driven deep learning framework is exploited to overcome the challenge of multi-domain signal detection in spacedomain index modulation(SDIM)based multiple input multiple output(mimo)systems.Specifically,we use orthogonal approximate message passing(OAMP)technique to develop OAMPNet,which is a novel signal recovery mechanism in the field of compressed sensing that effectively uses the sparse property from the training SDIM samples.For OAMPNet,the prior probability of the transmit signal has a significant impact on the obtainable performance.For this reason,in our design,we first derive the prior probability of transmitting signals on each antenna for SDIMmimo systems,which is different from the conventional Massive MIMO systems.Then,for Massive MIMO scenarios,we propose two novel algorithms to avoid pre-storing all active antenna combinations,thus considerably improving the memory efficiency and reducing the related overhead.Our simulation results show that the proposed framework outperforms the conventional optimization-driven based detection algorithms and has strong robustness under different antenna scales.

关键词： deep learning generalized spatial modulation index modulation Massive MIMO message passing orthogonal approximate

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Sectorization based pilot reuse for improving net spectral efficiency in the multicell Massive MIMO system

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Science China(Information Sciences) 2016年第2期59卷 97-111页

作者： Jiahui LI Limin XIAO Xibin XU Shidong ZHOU State Key Laboratory on Microwave and Digital Communications Tsinghua National Laboratory for Information Science and Technology Department of Electronic Engineering Tsinghua University

A sectorization method using the uniform circular array(UCA) is proposed to improve the net spectral efficiency(SE) of the multicell Massive MIMO system, which is an important index for evaluating the performance of a communication system. We derive the ergodic achievable uplink net SE per cell of a general sectorized system and obtain its deterministic approximation based on the large random matrix theory.Different weight matrices are considered for the sectorized system and the one with the best performance is utilized for further analysis. The consistency of the deterministic approximation with the result of Monte-Carlo simulation is proved at the same time. At last, numerical results indicate that the net SE per cell can be greatly improved compared to the conventional multicell Massive MIMO system, which validates the effectiveness of the sectorization method. Moreover, comparisons with other pilot reuse methods are also made in this paper.

关键词： Massive MIMO multicell net SE pilot reuse sectorization UCA

Channel estimation and channel tracking for correlated block-fading channels in Massive MIMO systems

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Digital Communications and Networks 2018年第2期4卷 138-147页

作者： Suresh Dahiya Arun Kumar Singh Department of Electrical Engineering Indian Institute of Technology Jodhpur Rajasthan 342011 India

This paper presents a channel estimation and tracking method for correlated block-fading channels in Massive MIMO wireless cellular systems. In order to conserve resources, the proposed algorithm requires the uplink pilot signal only once, at the start of communication. By utilizing the temporal correlation between consecutive Resource Blocks (RBs) and the error correction capability of turbo codes, the channel matrix in subsequent RBs is estimated at the Base Station (BS) itself using the uplink data of current the RB and the estimated channel matrix of previous the RB. Compared to existing blind estimation methods, the proposed method places fewer limitations on the system settings such as the number of BS antennas, the number of users, and the number of coherent channel usage compared to existing blind estimation methods. Simulation results show that the proposed algorithm provides better performance for a moderate RB size, a high-order of QAM scheme, and a smaller ratio of the number of BS antennas and mobile terminals ( N/K ). For a reasonably small N/K (order of 10), the proposed scheme achieves a lower symbol error probability than the conventional pilot-based estimation approach.

关键词： Massive MIMO Channel estimation Resource block Turbo coding Mobile terminal

An iterative BiGAMP-based receiver for coded Massive MIMO systems with low-resolution ADCs

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Science China(Information Sciences) 2021年第11期64卷 247-248页

作者： Yi SUN Ming JIANG Chunming ZHAO National Mobile Communications Research Laboratory Southeast University Purple Mountain Laboratories

Dear editor,The hundreds of antennas deployed in massive multipleinput-multiple-output(mimo) systems lead to an insupportable burden in terms of hardware costs and power consumption. This has motivated the research on... 详细信息

关键词： Massive MIMO low-resolution ADCs iterative receiver BiGAMP partially active

A New TDD Scheme and Interference-Aware Precoding for Device-to-Device Underlay Massive MIMO

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China Communications 2016年第S2期13卷 100-108页

作者： Xinxin Liu Xueru Li Yunzhou Li Ming Zhao Jing Wang State Key Laboratory on Microwave and Digital Communications Tsinghua National Laboratory for Information Science and Technology Tsinghua University Department of Electronic Engineering Tsinghua University

In device-to-device(D2D)underlay cellular networks with downlink spectrum sharing,Massive MIMO seems promising as the large number of antennas at the base station(BS) can be utilized to suppress interference.However,the channel state information(CSI) from the BS to D2D receivers is required to obtain this advantage.In this paper,we first propose a novel time division duplex(TDD) scheme for D2D users to acquire this CSI,without additional pilot overhead.Moreover,we propose an interference-aware MMSE precoder utilizing the acquired CSI from the BS to not only cellular users but also D2D users to suppress the cellular-to-D2D interference.Simulation results show that our proposed TDD scheme and precoder can significantly improve the achievable sum spectral efficiency(SE) and D2D SE,compared to the classical MMSE precoder.Compared with the interferenceaware ZF precoder,whose performance severely degrades for large user numbers,our proposed interference-aware MMSE precoder can always guarantees a high and stable performance in terms of achievable SE.

关键词： device-to-device Massive MIMO TDD scheme precoding

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Channel capacity investigation of a linear Massive MIMO system using spherical wave model in LOS scenarios

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Science China(Information Sciences) 2016年第2期59卷 45-59页

作者： Liu LIU David W.MATOLAK Cheng TAO Yongzhi LI Bo AI Houjin CHEN Institute of Broadband Wireless Mobile Communications Beijing Jiaotong University Department of Electrical Engineering University of South Carolina National Mobile Communications Research Laboratory Southeast University

massive multiple-input multiple-output(mimo) is a key technology for the 5th generation(5G)of wireless communication systems. The traditional plane wave channel model(PWM) is often not suitable for the large antenna structure, and in certain cases should be replaced by the more accurate spherical wave model(SWM). By using the spherical wave characterization method, this paper investigates the channel capacity performance of a linear Massive MIMO system in line-of-sight(LOS) scenarios. Two types of access settings, the point to point(PTP) system and multi-user(MU) system, are considered. In the PTP setting, a geometrical optimization is performed to obtain configurations that are able to generate a full rank channel matrix for a linear Massive MIMO system, which yields full spatial diversity even in LOS scenarios. Compared with the approximate and commonly applied rank-1 PWM, this is very useful for fixed wireless access and radio relay systems requiring high throughput. For the MU case, we compare the eigenvalue distributions of the LOS channels using the plane wave and spherical wave characterization method, and sum rate results are obtained by Monte Carlo simulations. The results show that MU systems using the more realistic and accurate SWM can achieve a higher sum rate than results from the PWM. This is beneficial and informative when designing Massive MIMO wireless networks.

关键词： Massive MIMO channel model plane wave model spherical wave model channel capacity

基于深度学习的Massive MIMO混合波束赋形技术研究

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基于深度学习的Massive MIMO混合波束赋形技术研究

作者：李育东西安科技大学

学位级别：硕士

随着通信技术的不断发展,毫米波、大规模多输入多输出(Massive MIMO)与波束赋形得到了广泛的关注。频段扩展至毫米波频段解决了频谱资源稀缺问题,并且波长较短的毫米波便于天线的集成,从而实现Massive MIMO技术。一方面,传统的全数字波... 详细信息

随着通信技术的不断发展,毫米波、大规模多输入多输出(Massive MIMO)与波束赋形得到了广泛的关注。频段扩展至毫米波频段解决了频谱资源稀缺问题,并且波长较短的毫米波便于天线的集成,从而实现Massive MIMO技术。一方面,传统的全数字波束赋形虽然性能较优但成本过高,而模拟波束赋形虽然成本较低但性能较差,混合波束赋形技术应运而生。混合波束赋形实现了系统成本和性能的有效折衷,但系统性能与数字波束赋形相比仍有不足。另一方面,在实际通信中受混合架构影响,信道存在秩损问题,会导致系统性能进一步损失。因此,本文在毫米波Massive MIMO系统下,采用深度学习算法,解决混合波束赋形性能不足以及实际通信信道的秩损问题。为了进一步提升混合波束赋形算法的性能,在多用户massive MlMO混合架构系统下,以频谱效率最大化为目标,提出了两种生成对抗网络算法来优化混合波束赋形性能,分别是基于条件生成对抗网络的数字波束赋形算法和基于双生成器的混合波束赋形算法。基于条件生成对抗网络的数字域波束赋形算法,以模拟域波束赋形矩阵作为网络的输入,生成所需的数字域波束赋形矩阵。基于双生成器生成对抗网络(DGGAN)的混合波束赋形算法,以信道矩阵作为网络的输入,两个生成器分别生成模拟域波束赋形矩阵和数字域波束赋形矩阵。仿真结果表明在所考虑仿真条件下,所提两种算法的频谱效率优于其他算法,性能更接近全数字波束赋形上界。尤其是DGGAN方法,其频谱效率与传统基于矩阵运算的算法相比提升了 10.74%-20.59%,与已有的深度学习网络架构相比,性能提升了 4.67%-8.31%。为了对抗实际混合架构Massive MIMO系统固有的信道秩损所带来的性能损失,在秩损信道下多用户Massive MIMO混合架构系统中,提出了两种新的生成对抗网络算法来实现秩损信道下的混合波束赋形设计,分别是基于生成对抗网络的信道补回算法和基于多生成器的秩损信道补回以及混合波束赋形联合优化方案。基于生成对抗网络的秩损信道补回算法,以秩损信道为网络的输入,生成器对缺失信息进行补回,得到补回后的信道矩阵。基于多生成器生成对抗网络的秩损信道补回以及混合波束赋形的联合优化方案,将频谱效率直接作为网络的优化目标,得到预期的系统性能。仿真结果表明在所考虑仿真条件下,所提两种算法性能优于其他算法,信道补回算法将系统性能提升了38.81%-51.49%,联合优化算法相比于传统算法性能提升48.11%-77.79%,相比于其他深系统性能提升了 38.81%-51.49%,联合优化算法相比于传统算法性能提升48.11%-77.79%,相比于其他深度学习算法性能提升9.40%-52.44%,体现了所提算法的鲁棒性。

关键词：毫米波 Massive MIMO 混合波束赋形秩损信道生成对抗网络

Impact of RF mismatches on the performance of Massive MIMO systems with ZF precoding

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Science China(Information Sciences) 2016年第2期59卷 31-44页

作者： Hao WEI Dongming WANG Jiangzhou WANG Xiaohu YOU National Mobile Communications Research Laboratory Southeast University School of Engineering and Digital Arts University of Kent

Thanks to the channel reciprocity, the time division duplex(TDD) operation is more preferred in massive multiple-input multiple-output(mimo) systems. Avoiding the heavy feedback of downlink channel state information(CSI) from the user equipment(UE) to the base station(BS), the uplink CSI can be exploited for the downlink precoding. However, due to the mismatches of the radio frequency(RF) circuits at both sides of the link, the whole communication channels are usually not symmetric in practical systems. This paper is focused on the RF mismatches at the UEs and the BS for the multi-user Massive MIMO systems with zero forcing(ZF) precoding. The closed-form expressions of the ergodic sum-rates are derived for evaluating the impact of RF mismatches on the system performance. Theoretical analysis and simulation results show that the RF mismatches at the UEs only lead to a negligible performance loss. However, it is imperative to perform reciprocity calibration at the BS, because the RF mismatches at the BS contribute to the inter-user interference(IUI) and result in a severe system performance degradation.

关键词： Massive MIMO RF mismatch TDD operation channel reciprocity antenna calibration