MIMO Performance Evaluation for Airborne Wireless Communication Systems

被引:0
|
作者
Chen, Jesse [1 ]
Daneshrad, Babak [1 ]
Zhu, Weijun [2 ]
机构
[1] Univ Calif Los Angeles, Dept Elect Engn, Los Angeles, CA 90095 USA
[2] Silvus Technol Inc, Los Angeles, CA 90024 USA
关键词
MIMO; UAV; airborne channel; OFDM; field trials;
D O I
暂无
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
This paper presents a characterization of the practical performance gains of a multiple-input/multiple-output (MIMO) system with respect to a traditional single-input/single-output (SISO) system in an air-to-ground environment. Analysis of these performance gains is based on actual data throughput and channel-state measurements of an airborne 4x4 MIMO-enabled orthogonal frequency division multiplexing (OFDM) system. Practical realization of these performance gains with a coded-OFDM wideband system was accomplished through airborne field trials across multiple flight profiles. We show through experimental validation that average MIMO throughput gains in excess of 2x can be achieved relative to a SISO system. These field trials also indicate that MIMO processing can deliver a 1.6x increase in the range of the link. Additionally, if channel-state information (CSI) is available at the transmitter - which enables MIMO eigen beamforming - the average throughput gain can be further increased to 4.5x and the link range can be increased by as much as 3.6x. It is also shown that for a 4x4 MIMO system to deliver the same throughput performance as a conventional SISO system in an air-to-ground environment, a relative TX power savings of up to 21 dB can be realized.
引用
下载
收藏
页码:1827 / 1832
页数:6
相关论文
共 50 条
  • [41] TENSOR CODING FOR CDMA-MIMO WIRELESS COMMUNICATION SYSTEMS
    Favier, Gerard
    da Costa, Michele N.
    de Almeida, Andre L. F.
    Romano, Joao Marcos T.
    19TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO-2011), 2011, : 101 - 105
  • [42] Self Energy Recycling Techniques for MIMO Wireless Communication Systems
    Chae, Juhui
    Lee, Hoon
    Kim, Jaein
    Lee, Inkyu
    2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2017,
  • [43] An RBF network based beamformer for MIMO wireless communication systems
    Zhang, Ling
    Zhang, X. Z.
    SNPD 2007: EIGHTH ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING, AND PARALLEL/DISTRIBUTED COMPUTING, VOL 1, PROCEEDINGS, 2007, : 549 - +
  • [44] Blind Equalization For MIMO FIR Channel In Wireless Communication Systems
    T, Ram Babu
    Kumar, P. Rajesh
    2009 INTERNATIONAL CONFERENCE ON ADVANCES IN RECENT TECHNOLOGIES IN COMMUNICATION AND COMPUTING (ARTCOM 2009), 2009, : 684 - +
  • [45] Spectral Efficiency of Channel for Wireless Communication Systems with MIMO Technology
    Kisel, Natalya N.
    Mahyoub, Hamed E. A.
    Grishchenko, Sergey G.
    PROCEEDINGS OF 2016 IEEE EAST-WEST DESIGN & TEST SYMPOSIUM (EWDTS), 2016,
  • [46] Position location of mobile terminal in wireless MIMO communication systems
    Li, Ji
    Conan, Jean
    Pierre, Samuel
    JOURNAL OF COMMUNICATIONS AND NETWORKS, 2007, 9 (03) : 254 - 264
  • [47] Precoded stbc-vblast for MIMO wireless communication systems
    Meng, Chen
    Tuqan, Jamal
    2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL III, PTS 1-3, PROCEEDINGS, 2007, : 337 - +
  • [48] Adaptive MIMO Transmission Techniques for Broadband Wireless Communication Systems
    Chae, Chan-Byoung
    Forenza, Antonio
    Heath, Robert W., Jr.
    McKay, Matthew R.
    Collings, Iain B.
    IEEE COMMUNICATIONS MAGAZINE, 2010, 48 (05) : 112 - 118
  • [49] Robust Hybrid Precoding for Multiuser MIMO Wireless Communication Systems
    Khalid, Farhan
    Speidel, Joachim
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2014, 13 (06) : 3353 - 3363
  • [50] Evaluation of the performance of indoor MIMO systems
    Tang, ZW
    Mohan, AS
    2003 6TH INTERNATIONAL SYMPOSIUM ON ANTENNAS, PROPAGATION AND EM THEORY, PROCEEDINGS, 2003, : 553 - 555