Achievable Error Rate Performance Analysis of Space Shift Keying Systems with Imperfect CSI

被引：0
|
作者：
Kang, Jinkyu [1 ]
Jeong, Seongah [1 ]
Lee, Hoojin [2 ]
机构：
[1] Harvard Univ, Sch Engn & Appl Sci, 29 Oxford St, Cambridge, MA 02138 USA
[2] Hansung Univ, Dept Appl IT Engn, Seoul, South Korea
来源：
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 2017年 / E100A卷 / 04期
关键词：
space shift keying (SSK); channel estimation error; bit error rate (BER); bit error floor (BEF); asymptotic analysis; signal-to-noise ratio (SNR) loss; SPATIAL MODULATION; CHANNEL ESTIMATION;
D O I：
10.1587/transfun.E100.A.1084
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this letter, efficient closed-form formulas for the exact and asymptotic average bit error probability (ABEP) of space shift keying (SSK) systems are derived over Rayleigh fading channels with imperfect channel state information (CSI). Specifically, for a generic 2 x NR multiple input multiple-output (MIMO) system with the maximum likelihood (ML) detection, the impact of imperfect CSI is taken into consideration in terms of two types of channel estimation errors with the fixed variance and the variance as a function of the number of pilot symbols and signal-to-noise ratio (SNR). Then, the explicit evaluations of the bit error floor (BEF) and asymptotic SNR loss are carried out based on the derived asymptotic ABEP formula, which accounts for the impact of imperfect CSI on the SSK system. The numerical results are presented to validate the exactness of our theoretical analysis.
引用
收藏
页码：1084 / 1087
页数：4
相关论文
共 50 条
  • [21] Error Performance of Generalised Space Shift Keying for Indoor Visible Light Communications
    Popoola, Wasiu O.
    Poves, Enrique
    Haas, Harald
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2013, 61 (05) : 1968 - 1976
  • [22] Bit error rate improvement for chaos shift keying chaotic communication systems
    Long, M.
    Chen, Y.
    Peng, F.
    IET COMMUNICATIONS, 2012, 6 (16) : 2639 - 2644
  • [23] Performance Analysis of Active RIS-Aided Systems in the Face of Imperfect CSI and Phase Shift Noise
    Li, Qingchao
    El-Hajjar, Mohammed
    Hemadeh, Ibrahim
    Jagyasi, Deepa
    Shojaeifard, Arman
    Hanzo, Lajos
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2023, 72 (06) : 8140 - 8145
  • [24] Performance Analysis of Space Shift Keying with Amplify and Forward Relaying
    Mesleh, Raed
    Ikki, Salama
    Alwakeel, Mohammed
    IEEE COMMUNICATIONS LETTERS, 2011, 15 (12) : 1350 - 1352
  • [25] Hierarchical Space Shift Keying for Unequal Error Protection
    Chang, Ronald Y.
    Lin, Sian-Jheng
    Chung, Wei-Ho
    IEEE COMMUNICATIONS LETTERS, 2012, 16 (09) : 1341 - 1344
  • [26] Performance Analysis of Spatial Modulation and Space-Shift Keying With Imperfect Channel Estimation Over Generalized η - μ Fading Channels
    Mesleh, Raed
    Badarneh, Osamah S.
    Younis, Abdelhamid
    Haas, Harald
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2015, 64 (01) : 88 - 96
  • [27] A Space Shift Keying for Downlink Multi-User Transmission With Partial CSI in Massive MIMO Systems
    Park, Sangwon
    Lee, Joonsung
    Lee, Chungyong
    IEEE COMMUNICATIONS LETTERS, 2018, 22 (03) : 506 - 509
  • [28] Sum Rate Analysis of Generalized Space Shift Keying-Aided MIMO-NOMA Systems
    Kishore, Rajaleksmi
    Gurugopinath, Sanjeev
    Muhaidat, Sami
    El Bouanani, Faissal
    Dobre, Octavia A.
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (07) : 7232 - 7236
  • [29] Performance analysis of space shift keying for AF relaying with relay selection
    Oztoprak, Ozgur Can
    Yarkin, Ferhat
    Altunbas, Ibrahim
    Basar, Ertugrul
    AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 2017, 81 : 74 - 82
  • [30] Achievable Rate Analysis of the STAR-RIS-Aided NOMA Uplink in the Face of Imperfect CSI and Hardware Impairments
    Li, Qingchao
    El-Hajjar, Mohammed
    Sun, Yanshi
    Hemadeh, Ibrahim
    Shojaeifard, Arman
    Liu, Yuanwei
    Hanzo, Lajos
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2023, 71 (10) : 6100 - 6114
12345