Fronthaul Functional Split of IRC-based Beamforming for Massive MIMO Systems

被引:1
|
作者
Huang, Yezi [1 ]
Lei, Wanlu [1 ]
Lu, Chenguang [1 ]
Berg, Miguel [1 ]
机构
[1] Ericsson Res, Stockholm, Sweden
关键词
D O I
10.1109/vtcfall.2019.8891191
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 centralized radio access network (C-RAN) architecture, the baseband unit (BBU) is connected to the remote radio unit (RRU) via a fronthaul (FH) interface. For massive MIMO systems in the 5G era, the traditional FH interface (e.g. CPRI) becomes a network bottleneck since the required FH capacity increases proportional to the number of antennas. New functional split between RRU and BBU is thereby considered where RRU carries out more processing than RF-related operation to make the FH traffic only scale based on the number of MIMO layers. This paper provides one alternative of such functional split in the uplink direction implementing interference rejection combining (IRC). The proposed approach reformulates IRC into a zero-forcing (ZF) process and decomposes the latter into two parts. The first part performs maximum ratio combining (MRC) which is much simpler than the full IRC and is therefore implemented in RRU. The second part handles the remaining calculations (such as matrix inversion) with high complexity and is implemented in BBU. The results show that the proposed functional split can deliver performances with both intra- and inter-cell interferences effectively mitigated, while guaranteeing low-complexity RRU implementation and moderate FH-traffic demands, which is proportional to the number of MIMO layers plus interferers.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Functional Split of Zero-Forcing Based Massive MIMO for Fronthaul Load Reduction
    Huang, Yezi
    Lu, Cbhenguang
    Berg, Miguel
    Odling, Per
    IEEE ACCESS, 2018, 6 : 6350 - 6359
  • [2] Particle swarm optimization based beamforming in massive MIMO systems
    Kareem T.A.
    Hussain M.A.
    Jabbar M.K.
    International Journal of Interactive Mobile Technologies, 2020, 14 (05) : 176 - 192
  • [3] Orthogonal beamforming technique for massive MIMO systems
    Abdelfatah, Marwa
    Zekry, Abdelhalim
    Elsayed, Shaimaa
    ANNALS OF TELECOMMUNICATIONS, 2025, 80 (1-2) : 79 - 97
  • [4] An Omnidirectional Beamforming Technique for Massive MIMO Systems
    Won, Seok Ho
    2016 INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY CONVERGENCE (ICTC 2016): TOWARDS SMARTER HYPER-CONNECTED WORLD, 2016, : 521 - 526
  • [5] Beamforming Based on Specular Component for Massive MIMO Systems in Ricean Fading
    Yue, Dian-Wu
    Zhang, Yan
    Jia, Yanan
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2015, 4 (02) : 197 - 200
  • [6] Beamforming Only Based on Specular Component for Downlink Massive MIMO Systems
    Dian-Wu Yue
    Qiuna Yan
    Wireless Personal Communications, 2017, 95 : 1799 - 1810
  • [7] Online Switch-Based Hybrid Beamforming for Massive MIMO Systems
    Nosrati, Hamed
    Aboutanios, Elias
    Smith, David
    28TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2020), 2021, : 1757 - 1761
  • [8] Beamforming Only Based on Specular Component for Downlink Massive MIMO Systems
    Yue, Dian-Wu
    Yan, Qiuna
    WIRELESS PERSONAL COMMUNICATIONS, 2017, 95 (02) : 1799 - 1810
  • [9] Bat algorithm-based beamforming for mmWave massive MIMO systems
    Shahjehan, Waleed
    Riaz, Asad
    Khan, Imran
    Sadiq, Ali Safaa
    Khan, Suleman
    Khan, Muhammad Khurram
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2020, 33 (02)
  • [10] Beamforming-Based Spatial Precoding in FDD Massive MIMO Systems
    Tang, Ming-Fu
    Lee, Meng-Ying
    Su, Borching
    Yen, Chia-Pang
    CONFERENCE RECORD OF THE 2014 FORTY-EIGHTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, 2014, : 2073 - 2077