MMSE transmit optimization for multi-user multi-antenna systems

被引:0
|
作者
Shi, SY [1 ]
Schubert, M [1 ]
机构
[1] Fraunhofer German Sino Lab Mobile Commun MCI, D-10587 Berlin, Germany
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We address the problem of linear mean square error (MSE) transmitter design for point-to-multipoint multiuser systems, where the transmitter is equipped with multiple antennas and each of the independent receivers has a single antenna. This downlink scenario is more difficult to handle than its uplink counterpart since all users are coupled by transmit filters and powers. Our main result is to show that downlink and uplink share the same normalized MSE achievable region under a sum power constraint. Thus, the problem of downlink transmitter design can be solved by focusing on an equivalent uplink problem, which has a more suitable structure and allows for efficient algorithmic solutions. As application examples, we solve the problem of minimizing the maximal normalized MSE of all users (fairness), and the problem of minimizing the sum of all normalized MSE (overall efficiency).
引用
收藏
页码:409 / 412
页数:4
相关论文
共 50 条
  • [1] Efficient scheduling of multi-user multi-antenna systems
    Jagannathan, Krishna P.
    Borst, Sem
    Whiting, Phil
    Modiano, Eytan
    [J]. 2006 4TH INTERNATIONAL SYMPOSIUM ON MODELING AND OPTIMIZATION IN MOBILE, AD HOC AND WIRELESS NETWORKS, VOLS 1 AND 2, 2006, : 278 - +
  • [2] Resource allocation for multi-antenna multi-user systems
    Boche, H
    Schubert, M
    [J]. ICC 2005: IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-5, 2005, : 855 - 859
  • [3] Average Transmit Power of Adaptive ZF Very Large Multi-user and Multi-antenna Systems
    Dian-Wu Yue
    Yichuang Sun
    [J]. Wireless Personal Communications, 2015, 81 : 1215 - 1232
  • [4] Average Transmit Power of Adaptive ZF Very Large Multi-user and Multi-antenna Systems
    Yue, Dian-Wu
    Sun, Yichuang
    [J]. WIRELESS PERSONAL COMMUNICATIONS, 2015, 81 (03) : 1215 - 1232
  • [5] PARTIAL FEEDBACK MULTI-USER SCHEDULING IN MULTI-ANTENNA SYSTEMS
    Salim, Ahmad Suhail
    [J]. WINSYS 2010: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON WIRELESS INFORMATION NETWORKS AND SYSTEM, 2010, : 157 - 160
  • [6] Joint detection in multi-antenna and multi-user OFDM systems
    Sklavos, A
    Weber, T
    Costa, E
    Haas, H
    Schulz, E
    [J]. MULTI-CARRIER SPREAD-SPECTRUM & RELATED TOPICS, 2002, : 191 - 198
  • [7] Average Transmit Power Gain of Adaptive ZF Large Scale Multi-user and Multi-antenna Systems
    Yue, Dian-Wu
    Jia, Ya-Nan
    Sun, Yichuang
    [J]. 2015 FIFTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION AND MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC), 2015, : 1521 - 1524
  • [8] Realtime multi-user multi-antenna downlink measurements
    Wirth, T.
    Forck, A.
    Wahls, S.
    Gaebler, H.
    Jungnickel, V.
    Haustein, T.
    Eichinger, J.
    Monge, D.
    Schulz, E.
    Juchems, C.
    Luhn, F.
    Zavrtak, R.
    [J]. WCNC 2008: IEEE WIRELESS COMMUNICATIONS & NETWORKING CONFERENCE, VOLS 1-7, 2008, : 1328 - +
  • [9] Performance Analysis and Optimization of Multi-Antenna UAV-Aided Multi-User Backscatter SPC Systems
    Hoang, Tran Manh
    Van, Quyet-Nguyen
    Dung, Le The
    Nguyen, Ba Cao
    Vinh, Nguyen Van
    Kim, Taejoon
    [J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 9 (01): : 1028 - 1039
  • [10] Support of Multi-antenna and Multi-user Systems Using Radio Over Fiber
    Gomes, Nathan J.
    Noor, Usman Habib. Shabnam
    Aighobahi, Anthony E.
    Assimakopoulos, Philippos
    [J]. 2017 ASIA COMMUNICATIONS AND PHOTONICS CONFERENCE (ACP), 2017,