On the Pair-Wise Error Probability of a Multi-Cell MIMO Uplink System With Pilot Contamination

被引:16
|
作者
Wang, Haiquan [1 ]
Pan, Peng [1 ]
Shen, Lei [1 ]
Zhao, Zhijin [1 ]
机构
[1] Hangzhou Dianzi Univ, Sch Commun Engn, Hangzhou 310018, Peoples R China
关键词
Pilot contamination; multi-cell MU-MIMO; pairwise error probability; Chernoff bound; performance analysis; CHANNEL ESTIMATION; MASSIVE MIMO; WIRELESS;
D O I
10.1109/TWC.2014.2339847
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, a multi-cell multiple-input multiple-output (MIMO) uplink system is considered. For uplink transmission, to implement decoding, the base station (BS) generally needs to estimate channels with the aid of training sequences. Obviously, for full frequency reuse systems, training also suffers from intercell interference, namely pilot contamination. In this paper, the impact of pilot contamination on the performance of the considered system is studied based on the maximum likelihood (ML) decoder. Specifically, an exact analytical expression of pair-wise error probability (PEP) is derived, and then, a lower bound and an upper bound of PEP are given, to explicitly show the impact of pilot contamination. With the detailed analysis of these bounds, we can discover: (1) pilot contamination can result in error floor, provided that the number of BSs in the considered system is larger than the length of a frame; and (2) if the length of a frame is larger than or equal to the number of BSs, and an appropriate coding scheme is applied, error floor can be removed. Finally, a coding design criterion is proposed. Based on this criterion, it can be shown that the considered system can achieve the same diversity to what can be achieved by a single isolated cell system.
引用
收藏
页码:5797 / 5811
页数:15
相关论文
共 50 条
  • [1] Uplink Linear Receivers for Multi-Cell Multiuser MIMO With Pilot Contamination: Large System Analysis
    Krishnan, Narayanan
    Yates, Roy D.
    Mandayam, Narayan B.
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2014, 13 (08) : 4360 - 4373
  • [2] Uplink Pilot Allocation for Multi-Cell Massive MIMO Systems
    Hao, Wanming
    Muta, Osamu
    Gacanin, Haris
    Furukawa, Hiroshi
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2019, E102B (02) : 373 - 380
  • [3] Uplink Pilot Design for Multi-Cell Massive MIMO Networks
    Han, Yonghee
    Lee, Jungwoo
    IEEE COMMUNICATIONS LETTERS, 2016, 20 (08) : 1619 - 1622
  • [4] On the Pilot Contamination Attack in Multi-Cell Multiuser Massive MIMO Networks
    Akbar, Noman
    Yan, Shihao
    Khattak, Asad Masood
    Yang, Nan
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2020, 68 (04) : 2264 - 2276
  • [5] Partial Pilot Allocation Scheme in Multi-Cell Massive MIMO Systems for Pilot Contamination Reduction
    Al-hubaishi, Ahmed S.
    Noordin, Nor Kamariah
    Sali, Aduwati
    Subramaniam, Shamala
    Mansoor, Ali Mohammed
    Ghaleb, Safwan M.
    ENERGIES, 2020, 13 (12)
  • [6] Pilot Contamination Elimination Precoding in Multi-Cell Massive MIMO Systems
    Liu, Binyue
    Cheng, Yong
    Yuan, Xiaojun
    2015 IEEE 26TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2015, : 320 - 325
  • [7] Dual-Polarized Massive MIMO Systems Under Multi-Cell Pilot Contamination
    Xu, Wei
    Wu, Xian
    Dong, Xiaodai
    Zhang, Hua
    You, Xiaohu
    IEEE ACCESS, 2016, 4 : 5998 - 6013
  • [8] Reduction Pilot Contamination in Downlink Multi-Cell for Massive MIMO Systems
    Salh, Adeeb
    Audah, Lukman
    Shah, Nor Shahida Mohd
    Hamzah, Shipun Anuar
    INTERNATIONAL JOURNAL OF INTEGRATED ENGINEERING, 2019, 11 (08): : 126 - 134
  • [9] ICA Based Decoding for a Multi-Cell Massive MIMO Uplink System
    Liu, Yangyi
    Wang, Haiquan
    Zhang, Wan
    Xu, Qian
    Shen, Lei
    2015 INTERNATIONAL CONFERENCE ON CONNECTED VEHICLES AND EXPO (ICCVE), 2015, : 74 - 78
  • [10] Adaptive pilot decontamination in multi-cell massive MIMO networks
    Akhlaghpasand, Hossein
    Razavizadeh, S. Mohammad
    TELECOMMUNICATION SYSTEMS, 2017, 66 (03) : 515 - 522