scholarly journals Antenna Efficiency in Massive MIMO Detection

2021 ◽  
Author(s):  
Ruichen Jiang ◽  
Ya-Feng Liu
Keyword(s):  
Massive Mimo ◽  
Mimo Detection ◽  
Antenna Efficiency

Performance analysis of various massive MIMO detection algorithms in 5G Wireless technologies

2019 ◽  
Vol 10 ◽  
Author(s):  
Shihab Jimaa ◽  
Jawahir Al-Ali
Keyword(s):  
Massive Mimo ◽  
Spectrum Efficiency ◽  
System Capacity ◽  
Network Coverage ◽  
Mimo Detection ◽  
Infinity Norm ◽  
Detection Algorithms ◽  
Alternating Direction ◽  
5G Systems ◽  
Efficient Power

Background: The 5G will lead to a great transformation in the mobile telecommunications sector. Objective: The huge challenges being faced by wireless communications such as the increased number of users have given a chance for 5G systems to be developed and considered as an alternative solution. The 5G technology will provide a higher data rate, reduced latency, more efficient power than the previous generations, higher system capacity, and more connected devices. Method: It will offer new different technologies and enhanced versions of the existing ones, as well as new features. 5G systems are going to use massive MIMO (mMIMO), which is a promising technology in the development of these systems. Furthermore, mMIMO will increase the wireless spectrum efficiency and improve the network coverage. Result: In this paper we present a brief survey on 5G and its technologies, discuss the mMIMO technology with its features and advantages, review the mMIMO capacity and energy efficiency and also presents the recent beamforming techniques. Conclusion: Finally, simulation of adopting different mMIMO detection algorithms are presented, which shows the alternating direction method of multipliers (ADMM)-based infinity-norm (ADMIN) detector has the best performance.

One-Bit Quantized Massive MIMO Detection Based on Variational Approximate Message Passing

2018 ◽  
Vol 66 (9) ◽  
pp. 2358-2373 ◽  
Author(s):  
Zhaoyang Zhang ◽  
Xiao Cai ◽  
Chunguang Li ◽  
Caijun Zhong ◽  
Huaiyu Dai
Keyword(s):  
Message Passing ◽  
Massive Mimo ◽  
Mimo Detection ◽  
Approximate Message Passing

scholarly journals Optimal Massive MIMO Detection for 5G Communication Systems via Hybrid n-Bit Heuristic Assisted-VBLAST

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 173646-173656
Author(s):  
Muhammad Haroon Siddiqui ◽  
Kiran Khurshid ◽  
Imran Rashid ◽  
Adnan Ahmed Khan ◽  
Khubaib Ahmed
Keyword(s):  
Massive Mimo ◽  
Communication Systems ◽  
Mimo Detection ◽  
5G Communication

Performance evaluation and implementation complexity analysis framework for ZF based linear massive MIMO detection

2020 ◽  
Vol 26 (6) ◽  
pp. 4079-4093 ◽  
Author(s):  
Messaoud Ahmed Ouameur ◽  
Daniel Massicotte ◽  
Auon Muhammad Akhtar ◽  
Reno Girard
Keyword(s):  
Performance Evaluation ◽  
Massive Mimo ◽  
Complexity Analysis ◽  
Analysis Framework ◽  
Mimo Detection

scholarly journals A Novel Iterative Discrete Estimation Algorithm for Low-Complexity Signal Detection in Uplink Massive MIMO Systems

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 980 ◽  
Author(s):  
Hui Feng ◽  
Xiaoqing Zhao ◽  
Zhengquan Li ◽  
Song Xing
Keyword(s):  
Computational Complexity ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Estimation Algorithm ◽  
Low Complexity ◽  
Detection Algorithm ◽  
Base Station ◽  
Damping Factor ◽  
Mimo Detection ◽  
Discrete Estimation

In this paper, a novel iterative discrete estimation (IDE) algorithm, which is called the modified IDE (MIDE), is proposed to reduce the computational complexity in MIMO detection in uplink massive MIMO systems. MIDE is a revision of the alternating direction method of multipliers (ADMM)-based algorithm, in which a self-updating method is designed with the damping factor estimated and updated at each iteration based on the Euclidean distance between the iterative solutions of the IDE-based algorithm in order to accelerate the algorithm’s convergence. Compared to the existing ADMM-based detection algorithm, the overall computational complexity of the proposed MIDE algorithm is reduced from O N t 3 + O N r N t 2 to O N t 2 + O N r N t in terms of the number of complex-valued multiplications, where Ntand Nr are the number of users and the number of receiving antennas at the base station (BS), respectively. Simulation results show that the proposed MIDE algorithm performs better in terms of the bit error rate (BER) than some recently-proposed approximation algorithms in MIMO detection of uplink massive MIMO systems.

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