Iterative Receivers for Large-Scale MIMO Systems With Finite-Alphabet Simplicity-Based Detection

被引:3
作者
Hajji, Zahran [1 ]
Amis, Karine [1 ]
Aissa-El-Bey, Abdeldjalil [1 ]
机构
[1] IMT Atlantique, UMR CNRS Lab STICC 6285, F-29238 Brest, France
来源
IEEE ACCESS | 2020年 / 8卷
关键词
Compressed sensing; source separation; successive interference cancellation; underdetermined system; simplicity; large-scale MIMO; iterative detection; iterative decoding; regularization; SUCCESSIVE INTERFERENCE CANCELLATION; FEEDBACK; EQUALIZATION; PROPAGATION; ALGORITHM;
D O I
10.1109/ACCESS.2020.2969710
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we consider large-scale MIMO systems and we define iterative receivers which use the simplicity-based detection algorithm referred to as Finite Alphabet Simplicity (FAS) algorithm. First, we focus on uncoded systems and we propose a novel successive interference cancellation algorithm with an iterative processing based on the shadow area principle and we optimize its parameters by exploiting the theoretical analysis of the detector output. Secondly, we assume FEC-encoded systems and we propose an iterative receiver based on a maximum likelihood-like detection with restricted candidate subset defined by the FAS algorithm output. We also introduce another receiver based on FAS detection whose criterion is penalized with the mean absolute error function. Simulations results show the efficiency of all proposed iterative receivers compared to the state-of-the-art methods.
引用
收藏
页码:21742 / 21758
页数:17
相关论文
共 36 条
  • [1] Sparsity-Based Recovery of Finite Alphabet Solutions to Underdetermined Linear Systems
    Aissa-El-Bey, Abdeldjalil
    Pastor, Dominique
    Sbai, Si Mohamed Aziz
    Fadlallah, Yasser
    [J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 2015, 61 (04) : 2008 - 2018
  • [2] Performance of multicarrier CDMA with successive interference cancellation in a multipath fading channel
    Andrews, JG
    Meng, THY
    [J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 2004, 52 (05) : 811 - 822
  • [3] [Anonymous], 1980, MULTIVARIATE ANAL
  • [4] [Anonymous], [No title captured]
  • [5] OPTIMAL DECODING OF LINEAR CODES FOR MINIMIZING SYMBOL ERROR RATE
    BAHL, LR
    COCKE, J
    JELINEK, F
    RAVIV, J
    [J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 1974, 20 (02) : 284 - 287
  • [6] Near optimum error correcting coding and decoding: Turbo-codes
    Berrou, C
    Glavieux, A
    [J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 1996, 44 (10) : 1261 - 1271
  • [7] SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR
    Bickel, Peter J.
    Ritov, Ya'acov
    Tsybakov, Alexandre B.
    [J]. ANNALS OF STATISTICS, 2009, 37 (04) : 1705 - 1732
  • [8] Introducing erasures in decision-feedback equalization to reduce error propagation
    Chiani, M
    [J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 1997, 45 (07) : 757 - 760
  • [9] Donoho DL, 2009, J AM MATH SOC, V22, P1
  • [10] Counting the Faces of Randomly-Projected Hypercubes and Orthants, with Applications
    Donoho, David L.
    Tanner, Jared
    [J]. DISCRETE & COMPUTATIONAL GEOMETRY, 2010, 43 (03) : 522 - 541