Article
Computer Science, Information Systems
Manikandan Chinnusami, C. V. Ravikumar, S. B. M. Priya, Augusta Arumainayagam, Giovanni Pau, Rajesh Anbazhagan, P. Srinivas Varma, K. Sathish
Summary: M-MIMO is a necessary technique for B5G wireless networks, requiring low-complexity signal detection and increased number of antennas for high capacity and reliability. This article proposes a modified weighted two-stage algorithm to achieve reduced complexity MMSE detection. Simulation results confirm that the proposed algorithm achieves near-optimal performance with lower complexity.
Article
Engineering, Electrical & Electronic
Zhenkun Qiu, Shengli Zhou, Ming Zhao, Wuyang Zhou
Summary: A massive MIMO system can significantly improve the spectral and energy efficiency of wireless communication. We propose a virtual channel precoding strategy that utilizes the sparse virtual channel representation to overcome the burden of complex matrix computation. The developed precoding algorithm reduces computational complexity and transmission delay in large-dimension systems and is supplemented with a beam selection strategy for improved performance under complexity constraints.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Youngrok Jang, Taehyoung Kim, Sooyong Choi
Summary: In this paper, a new channel state information (CSI) feedback scheme based on probability distribution is proposed for massive MIMO systems. The scheme divides and sorts the real and imaginary parts of channel elements into groups and approximates them to a cumulative distribution function of a predefined probability distribution. The generated CSI, including representing parameters and original ordering information, is then fed back to the base station for channel vector reconstruction. The proposed scheme outperforms conventional CSI feedback schemes in terms of sum rate under a similar feedback overhead and low computational complexity.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Lei Hua, Yajun Wang, Zhuxian Lian, Yinjie Su, Zhibin Xie
Summary: This paper addresses the issue of reducing the PAPR in OFDM-based massive MIMO downlink systems. By utilizing the massive degrees-of-freedom in large-scale MIMO antenna arrays, the PAPR-aware precoding is formulated as a convex optimization problem. The accelerated proximal gradient algorithm is then developed to solve the optimization problem. Numerical results demonstrate that the proposed algorithm outperforms existing methods in terms of PAPR reduction, SER, and computational complexity.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2022)
Article
Telecommunications
Mudasir Ahmad Sheikh, Prem Singh, Rohit Budhiraja
Summary: This paper presents a low-complexity MMSE receiver for a practical rectangular pulse-shaped OTFS mMIMO system. By exploiting the sparsity of the OTFS channel and the matrix structure in the MMSE receiver, we show that the proposed receiver achieves significantly lower complexity without sacrificing the bit error rate (BER) compared to existing state-of-the-art receivers.
IEEE COMMUNICATIONS LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Eduard E. Bahingayi, Kyungchun Lee
Summary: This paper investigates an intelligent reflecting surface (IRS)-aided single-user (SU) massive multiple-input multiple-output (mMIMO) millimeter wave (mmWave) downlink communication system. It aims to maximize the achievable spectral efficiency by separately designing the passive beamforming and active precoding using a decoupling strategy to reduce computational complexity.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Imran A. Khoso, Xiaofei Zhang, Ihsan A. Khoso, Zaheer Ahmed Dayo, Xiaoming Dai
Summary: The paper introduces a novel semi-iterative data detection algorithm for massive MIMO systems, which achieves a significant improvement in convergence and accuracy compared to existing iterative methods. The study provides a sufficient condition for the convergence of this method and presents a low-complexity initial method based on trace diagonal.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Computer Science, Hardware & Architecture
Rodwell Muzavazi, Olutayo Oyeyemi Oyerinde
Summary: This paper explores methods for improving the performance of Orthogonal Time Frequency Space (OTFS) massive Multiple Input Multiple Output (MIMO) system in high-Doppler scenarios, including Compressive Sampling Matching Pursuit (CoSaMP) channel estimation and Gauss-Seidel (GS)-based minimum mean square error (MMSE) data detection. The simulation results show that the proposed methods have advantages in terms of performance and computational complexity.
COMPUTERS & ELECTRICAL ENGINEERING
(2022)
Article
Computer Science, Information Systems
Adeeb Salh, Lukman Audah, Qazwan Abdullah, Nor Shahida M. Shah, Shipun A. Hamzah, Shahilah Nordin, Nabil Farah
Summary: This study investigates joint antenna selection, optimal transmit power, and joint user selection based on the closed-form derivation of maximal EE with complete knowledge of large-scale fading and maximum ratio transmission. It aims to optimize antenna selection, power allocation, and user selection to mitigate interference in multi-cell massive MIMO systems, while minimizing pilot reuse sequences by using a novel iterative low-complexity algorithm. The results demonstrate that the maximal EE is achieved with reasonable maximum transmit power, under the condition that noise power is less than received power pilot, and optimal EE is achieved by minimizing pilot reuse and selecting a transmit power allocation of rho(d) = 40 dBm.
CMC-COMPUTERS MATERIALS & CONTINUA
(2021)
Article
Telecommunications
Shuchao Mi, Jianyong Zhang, Fengju Fan, Baorui Yan, Muguang Wang
Summary: This paper proposes the AD MIN with threshold (ADMIN-T) and with percentage (ADMIN-P) detection algorithms based on the alternating direction method of multipliers, which utilize the distribution of SINR in an uplink massive MIMO system. The ADMIN-T and ADMIN-P algorithms are improvements of the ADMIN algorithm and are designed to reduce computational complexity. The simulation results show that the proposed algorithms achieve significant performance gains and reduce complexity compared to existing algorithms.
CHINA COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Rade P. P. Dabetic, Goran B. B. Markovic
Summary: Multiuser multiple input multiple output (MU-MIMO) systems provide high spectral efficiency (SE) through transmit/receive combining schemes. Regularized zero forcing (RZF) and Tomlinson-Harashima precoding (THP) are commonly used combining schemes for downlink (DL). However, in massive MU-MIMO systems, the computational complexity of RZF and THP schemes is high. The authors propose a low-complexity transmit combining scheme based on gram-Schmidt orthogonalization for massive MU-MIMO systems with time division duplex (TDD), which achieves slightly better SE than THP but with much lower complexity than THP and RZF schemes.
ELECTRONICS LETTERS
(2023)
Article
Computer Science, Information Systems
Han Jin Park, Jeong Woo Lee
Summary: In this paper, a low-density parity-check (LDPC) coded multi-user (MU) massive MIMO system is designed with an iterative joint detection and decoding (JDD) algorithm. A factor graph based belief propagation detection with Gaussian approximation of interference is considered as a low-complexity MU detection scheme. LDPC codes and a JDD strategy are efficiently designed for coded MU massive MIMO systems to achieve fast convergence and low bit error probability.
Article
Computer Science, Information Systems
Yiwen Chen, Xichao Zhan, Feng Shu, Qijuan Jie, Xin Cheng, Zhihong Zhuang, Jiangzhou Wang
Summary: This letter proposes three low-complexity estimators for direction finding, including partitioned subarray auto-correlation combining, partitioned subarray cross-correlation combining, and power iteration max correlation successive convex approximation. Simulation results show that these methods can significantly reduce complexity in large-scale antenna scenarios.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Ali Bereyhi, Saba Asaad, Ralf R. Mueller, Rafael F. Schaefer, Georg Fischer, H. Vincent Poor
Summary: The study demonstrates that for a large class of low-complexity massive MIMO transmitters, using antenna selection and hybrid analog-digital precoding results in information leakage per achievable sum-rate decreasing exponentially with the number of transmit antennas growing large.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Wentao Yu, Tianyu Wang, Shaowei Wang
Summary: This paper proposes a low-complexity antenna selection algorithm based on multi-label learning, using a deep neural network to extract low-dimensional features of the channel matrix for accurate prediction of selected antenna sets. Compared to traditional methods, the new algorithm achieves comparable capacity while reducing computation time.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Telecommunications
Zhaoming Ding, Song Xing, Feng Yan, Lianfeng Shen
IEEE COMMUNICATIONS LETTERS
(2019)
Article
Engineering, Electrical & Electronic
Zhaoming Ding, Song Xing, Feng Yan, Weiwei Xia, Lianfeng Shen
IET COMMUNICATIONS
(2019)
Article
Engineering, Electrical & Electronic
Chunlan Luo, Yi Wu, Hsin-chiu Chang, Zheng Yang, Song Xing
PHYSICAL COMMUNICATION
(2020)
Article
Engineering, Electrical & Electronic
Yaping Zhu, Feng Yan, Shengjie Zhao, Fei Shen, Song Xing, Lianfeng Shen
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2020)
Article
Engineering, Electrical & Electronic
Chengyi Liu, Geng Chen, Song Xing
Summary: A user scheduling algorithm for NOMA systems is proposed in this study, which can achieve the maximum number of active users while meeting individual minimum rate requirements, and further improve performance through the maximum sum-rate strategy and computational complexity reduction algorithm.
IET COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Hongyan Wang, Yoichi Ishizuka, Takafumi Fujimoto, Toshiyuki Tanaka, Zhengquan Li, Song Xing
Summary: This study investigates the system spectral efficiency and system energy efficiency of massive MIMO relaying networks with imperfect channel state information and hybrid relaying processing. Power scaling schemes are considered to achieve different performance outcomes under fixed and variable pilot sequence transmit power. The analytical results demonstrate that required system performances can be achieved with low transmit power.
Proceedings Paper
Computer Science, Interdisciplinary Applications
Bohong Xiang, Feng Yan, Fei Shen, Weiwei Xia, Song Xing, Yi Wu, Lianfeng Shen
2019 IEEE GLOBECOM WORKSHOPS (GC WKSHPS)
(2019)
Article
Computer Science, Information Systems
Xiaoqing Zhao, Zhengquan Li, Song Xing, Yang Liu, Qiong Wu, Baolong Li
Article
Computer Science, Information Systems
Xiaomei Xue, Zhengquan Li, Yongqiang Man, Song Xing, Yang Liu, Baolong Li, Qiong Wu
Proceedings Paper
Computer Science, Hardware & Architecture
Yan Zhang, Yi Wu, Hsin-Chiu Chang, Wen-Kang Jia, Zheng Yang, Song Xing
2019 16TH IEEE ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC)
(2019)
Proceedings Paper
Transportation Science & Technology
Zhaoming Ding, Lianfeng Shen, Feng Yan, Weiwei Xia, Zhengquan Li, Song Xing
2018 IEEE 88TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL)
(2018)
Proceedings Paper
Computer Science, Hardware & Architecture
Chunlan Luo, Yi Wu, Hsin-chiu Chang, Zheng Yang, Lianfeng Shen, Song Xing
2018 10TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP)
(2018)
Proceedings Paper
Engineering, Electrical & Electronic
Rui Zhang, Feng Yan, Weiwei Xia, Song Xing, Yi Wu, Lianfeng Shen
GLOBECOM 2017 - 2017 IEEE GLOBAL COMMUNICATIONS CONFERENCE
(2017)
Proceedings Paper
Engineering, Electrical & Electronic
Yaping Zhu, Yueyue Zhang, Feng Yan, Weiwei Xia, Song Xing, Yi Wu, Lianfeng Shen
GLOBECOM 2017 - 2017 IEEE GLOBAL COMMUNICATIONS CONFERENCE
(2017)
