A novel analytical model for intensity modulated and direct detected multiple-input–multiple-output system with time related zero forcing equalization over multimode fiber

2012 ◽  
Vol 285 (16) ◽  
pp. 3431-3436
Author(s):  
Wuliang Fang ◽  
Yufeng Shao ◽  
Nan chi
Keyword(s):  
Analytical Model ◽  
Multiple Input Multiple Output ◽  
Multimode Fiber ◽  
Zero Forcing ◽  
Intensity Modulated ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Output System

A Precoding Algorithm Based on Truncated Polynomial Expansion for Massive MIMO System

2014 ◽  
Vol 945-949 ◽  
pp. 2315-2318
Author(s):  
Hong Zhang ◽  
Dong Lai Hao ◽  
Xiang Yang Liu
Keyword(s):  
Matrix Theory ◽  
Mimo System ◽  
Multiple Input Multiple Output ◽  
Polynomial Expansion ◽  
System Throughput ◽  
Achievable Rate ◽  
Zero Forcing ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Output System

A precoding algorithm based on the truncated polynomial expansion is proposed for massive multiple-input multiple-output system, Using the random matrix theory, the optimal precoding weights coefficient is derived for tradeoff between system throughput and precoding complexity. Finally, under different channel conditions, the simulation results show that the average achievable rate will increase infinitely approaches the regularized zero forcing precoding and has better performance than TPE scheme without optimization..

A Precoding Strategy for Massive MIMO System

2014 ◽  
Vol 568-570 ◽  
pp. 1278-1281
Author(s):  
Hong Zhang ◽  
Dong Lai Hao ◽  
Xiang Yang Liu
Keyword(s):  
Hardware Implementation ◽  
Mimo System ◽  
Multiple Input Multiple Output ◽  
Achievable Rate ◽  
Zero Forcing ◽  
System A ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Output System ◽  
Simulation Results

The computational precoding complexity increases with its dimensions in massive multiple-input multiple-output system. A precoding scheme based on the truncated polynomial expansion is proposed, the hardware implementation is described for the superiority of the algorithm compared with the conventional regularized zero forcing precoding. Finally, under different channel conditions, the simulation results show that the average achievable rate will increase infinitely approaches the regularized zero forcing precoding simulation in a certain order, the polynomial order does not need to scale with the system dimensions.

scholarly journals Beam division multiple access for millimeter wave massive MIMO: Hybrid zero-forcing beamforming with user selection

2022 ◽  
Vol 12 (1) ◽  
pp. 445
Author(s):  
Hong Son Vu ◽  
Kien Truong ◽  
Minh Thuy Le
Keyword(s):  
Multiple Access ◽  
Mimo Systems ◽  
Multiple Input Multiple Output ◽  
Base Station ◽  
Zero Forcing ◽  
Multiuser Interference ◽  
Novel Approach ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Promising Solution

<p>Massive multiple-input multiple-output (MIMO) systems are considered a promising solution to minimize multiuser interference (MUI) based on simple precoding techniques with a massive antenna array at a base station (BS). This paper presents a novel approach of beam division multiple access (BDMA) which BS transmit signals to multiusers at the same time via different beams based on hybrid beamforming and user-beam schedule. With the selection of users whose steering vectors are orthogonal to each other, interference between users is significantly improved. While, the efficiency spectrum of proposed scheme reaches to the performance of fully digital solutions, the multiuser interference is considerably reduced.</p>

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