RRH based Massive MIMO with "on the Fly" Pilot Contamination Control

被引:4
|
作者
Bursalioglu, Ozgun Y. [1 ]
Wang, Chenwei [1 ]
Papadopoulos, Haralabos [1 ]
Caire, Giuseppe [2 ]
机构
[1] Docomo Innovat Inc, Wireless Syst Project, MNTG, Palo Alto, CA 94304 USA
[2] Tech Univ Berlin, Commun & Informat Theory Grp, D-10587 Berlin, Germany
来源
2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC) | 2016年
关键词
Multiuser MIMO; massive MIMO; small cells; channel reciprocity; pilot contamination; interference mitigation; channel estimation;
D O I
10.1109/ICC.2016.7511522
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
Dense large-scale antenna deployments are one of the most promising technologies for delivering very large throughputs per unit area in the downlink (DL) of cellular networks. We consider such a dense deployment involving a distributed system formed by multi-antenna remote radio head (RRH) units connected to the same fronthaul serving a geographical area. Knowledge of the DL channel between each active user and its nearby RRH antennas is most efficiently obtained at the RRHs via reciprocity based training, that is, by estimating a user's channel using uplink (UL) pilots transmitted by the user, and exploiting the UL/DL channel reciprocity. We consider aggressive pilot reuse across an RRH system, whereby a single pilot dimension is simultaneously assigned to multiple active users. We introduce a novel coded pilot approach, which allows each RRH unit to detect pilot collisions, i.e., when more than a single user in its proximity uses the same pilot dimensions. Thanks to the proposed coded pilot approach, pilot contamination can be substantially avoided. As shown, such a strategy can yield densification benefits in the form of increased multiplexing gains per UL pilot dimension with respect to conventional reuse schemes and some recent approaches assigning pseudorandom pilot vectors to the active users.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] Vulnerabilities of Massive MIMO Systems to Pilot Contamination Attacks
    Akgun, Berk
    Krunz, Marwan
    Koyluoglu, O. Ozan
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2019, 14 (05) : 1251 - 1263
  • [22] Suppression of Pilot-Contamination in Massive MIMO Systems
    Neumann, David
    Joham, Michael
    Utschick, Wolfgang
    2014 IEEE 15TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC), 2014, : 11 - 15
  • [23] On the Performance of TDD Massive MIMO Systems with Pilot Contamination
    Alkhaled, Makram
    Alsusa, Emad
    So, Daniel K. C.
    2017 IEEE 85TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2017,
  • [24] Raptor code to mitigate Pilot contamination in Massive MiMo
    Benzid, Djedjiga
    Kadoch, Michel
    9TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT 2018) / THE 8TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2018) / AFFILIATED WORKSHOPS, 2018, 130 : 310 - 317
  • [25] Pilot contamination mitigation strategies in massive MIMO systems
    Gong, Zijun
    Li, Cheng
    Jiang, Fan
    IET COMMUNICATIONS, 2017, 11 (16) : 2403 - 2409
  • [26] Efficient pilot design based on the divide and conquer approach for pilot contamination mitigation in massive MIMO
    Boudaya, Maroua
    Kammoun, Ines
    Siala, Mohamed
    2019 15TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC), 2019, : 1668 - 1673
  • [28] Pilot contamination mitigation based on antenna subset transmission for mmWave massive MIMO
    Smaili, Nessrine
    Djeddou, Mustapha
    Azrar, Arab
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2018, 31 (14)
  • [29] Eliminating Pilot Contamination Using Dual Pilot Sequences in Massive MIMO
    Aljalai, A. Nasser
    Feng, Chen
    Leung, Victor C. M.
    Ward, Rabab
    2017 IEEE 86TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL), 2017,
  • [30] Performance analysis of multicell massive MIMO THP with pilot contamination
    Sanaie, Saiedeh Maboud
    Bizaki, Hossein Khaleghi
    TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 2019, 30 (05)