Cooperative MIMO Channel Modeling and Multi-Link Spatial Correlation Properties

被引:142
|
作者
Cheng, Xiang [2 ,3 ,4 ]
Wang, Cheng-Xiang [1 ]
Wang, Haiming [5 ]
Gao, Xiqi [5 ]
You, Xiao-Hu [5 ]
Yuan, Dongfeng [6 ]
Ai, Bo [3 ]
Huo, Qiang [2 ]
Song, Ling-Yang [2 ]
Jiao, Bing-Li [2 ]
机构
[1] Heriot Watt Univ, Sch Engn & Phys Sci, Joint Res Inst Signal & Image Proc, Edinburgh EH14 4AS, Midlothian, Scotland
[2] Peking Univ, Sch Elect & Comp Sci, Beijing 100871, Peoples R China
[3] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China
[4] Chinese Acad Sci, Shanghai Inst Microsyst & Informat Technol, Key Lab Wireless Sensor Network & Commun, Beijing 100864, Peoples R China
[5] Southeast Univ, Sch Informat Sci & Engn, Nanjing 210096, Peoples R China
[6] Shandong Univ, Sch Informat Sci & Engn, Jinan 250100, Peoples R China
基金
英国工程与自然科学研究理事会; 中国国家自然科学基金;
关键词
Cooperative MIMO channels; geometry-based stochastic model; spatial correlation; non-isotropic scattering; ALLOCATION; SIMULATION;
D O I
10.1109/JSAC.2012.120218
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 novel unified channel model framework is proposed for cooperative multiple-input multiple-output (MIMO) wireless channels. The proposed model framework is generic and adaptable to multiple cooperative MIMO scenarios by simply adjusting key model parameters. Based on the proposed model framework and using a typical cooperative MIMO communication environment as an example, we derive a novel geometry-based stochastic model (GBSM) applicable to multiple wireless propagation scenarios. The proposed GBSM is the first cooperative MIMO channel model that has the ability to investigate the impact of the local scattering density (LSD) on channel characteristics. From the derived GBSM, the corresponding multi-link spatial correlation functions are derived and numerically analyzed in detail.
引用
收藏
页码:388 / 396
页数:9
相关论文
共 50 条
  • [41] Spatial-temporal correlation properties of the 3GPP spatial channel model and the Kronecker MIMO channel model
    Wang, Cheng-Xiang
    Hong, Xuemin
    Wu, Hanguang
    Xu, Wen
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2007, 2007 (1)
  • [42] Area coverage of a multi-link MIMO system with water filling power allocation strategy
    Yoshimoto, Akiyo
    Hattori, Takeshi
    2007 IEEE 66TH VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-5, 2007, : 1137 - 1141
  • [43] MULTI-FIELD MODELING OF DISCRETE MULTI-LINK AND STRUCTURAL SHELL SYSTEM STABILITY
    Vasiliev, A. A.
    VESTNIK SAMARSKOGO GOSUDARSTVENNOGO TEKHNICHESKOGO UNIVERSITETA-SERIYA-FIZIKO-MATEMATICHESKIYE NAUKI, 2009, (01): : 289 - 293
  • [44] Multi-Link data congestion control algorithm in spatial delay tolerance network
    Zhang R.-J.
    Hu C.
    Liu W.
    Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2020, 50 (04): : 1472 - 1477
  • [45] The largest eigenvalue characteristics for MIMO channel with spatial correlation
    Fu, JY
    Taniguchi, T
    Karasawa, Y
    ELECTRONICS AND COMMUNICATIONS IN JAPAN PART I-COMMUNICATIONS, 2004, 87 (12): : 18 - 27
  • [46] Downlink Channel Estimation with Limited Feedback for FDD Multi-User Massive MIMO with Spatial Channel Correlation
    Almosa, Hayder
    Mosleh, Susanna
    Perrins, Erik
    Liu, Lingjia
    2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2018,
  • [47] Dynamic Modeling of Planar Flexible Multi-link Manipulators with Accounting for Both Link Foreshortening and Link Material Damping
    Zhang, Jin Fu
    ADVANCES IN MECHANICAL DESIGN, PTS 1 AND 2, 2011, 199-200 : 19 - 24
  • [48] Measurement-based fading characterization of multi-link UAV to mobile vehicle channel
    Lyu, Yue
    Wang, Wei
    Sun, Yuzhe
    Chai, Jiahui
    Yue, Haochuan
    PHYSICAL COMMUNICATION, 2024, 62
  • [49] Ordinal synchronization mark sequence and its steganography for a multi-link network covert channel
    Fu, Songyin
    Wang, Rangding
    Dong, Li
    Yan, Diqun
    PLOS ONE, 2021, 16 (06):