Coordinated Beamforming with Dynamic Clustering: A Stochastic Geometry Approach

被引:0
|
作者
Lee, Namyoon [1 ]
Heath, Robert W., Jr. [1 ]
Morales-Jimenez, David [2 ]
Lozano, Angel [2 ]
机构
[1] Univ Texas Austin, Dept Elect & Comp Engn, Austin, TX 78712 USA
[2] UPF, Dept Informat & Commun Technol, Barcelona 08018, Spain
关键词
NETWORKS;
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
This paper characterizes the performance of coordinated beamforming with dynamic clustering. A downlink cellular model based on stochastic geometry is put forth to analyze the performance of such base station (BS) coordination strategy. Analytical expressions for the complementary cumulative distribution function (CCDF) of the instantaneous signal-to-interference ratio (SIR) are derived in terms of relevant system parameters, chiefly the number of coordinated BSs, the number of antennas, and the path-loss exponent. Utilizing this CCDF, with pilot overheads further incorporated into the analysis, we formulate the computation of the number of coordinated BSs that maximizes the spectral efficiency for a given fading coherence. The results make precise the intuition that the slower the fading, the more beneficial the coordination. Simulation results verify the exactness of the SIR distribution derived for stochastic geometries, which is further compared with the corresponding distribution for a deterministic grid model.
引用
收藏
页码:2165 / 2170
页数:6
相关论文
共 50 条
  • [21] Employing Coordinated Transmit and Receive Beamforming in Clustering Double-Directional Radio Channel
    Chen Sun
    Makoto Taromaru
    Takashi Ohira
    EURASIP Journal on Wireless Communications and Networking, 2007
  • [22] Joint Hybrid Beamforming and Dynamic Antenna Clustering for Massive MIMO
    Ghasemi, Ahmad
    Zekavat, Seyed
    2020 29TH WIRELESS AND OPTICAL COMMUNICATIONS CONFERENCE (WOCC), 2020, : 62 - 67
  • [23] Spectral clustering in the dynamic stochastic block model
    Pensky, Marianna
    Zhang, Teng
    ELECTRONIC JOURNAL OF STATISTICS, 2019, 13 (01): : 678 - 709
  • [24] The cosmic foam: Stochastic geometry and spatial clustering across the universe
    van de Weygaert, R
    STATISTICAL CHALLENGES IN ASTRONOMY, 2003, : 175 - 196
  • [25] A Massive MIMO Stochastic Geometry Analysis of Various Beamforming Designs with Partial CSIT
    Thomas, Christo Kurisummoottil
    Slock, Dirk
    17TH INTERNATIONAL SYMPOSIUM ON MODELING AND OPTIMIZATION IN MOBILE, AD HOC, AND WIRELESS NETWORKS (WIOPT 2019), 2019, : 371 - 378
  • [26] Massive MISO IBC Beamforming - a Multi-Antenna Stochastic Geometry Perspective
    Thomas, Christo Kurisummoottil
    Slock, Dirk
    2018 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 2018,
  • [27] Distributed Robust Multicell Coordinated Beamforming With Imperfect CSI: An ADMM Approach
    Shen, Chao
    Chang, Tsung-Hui
    Wang, Kun-Yu
    Qiu, Zhengding
    Chi, Chong-Yung
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2012, 60 (06) : 2988 - 3003
  • [28] A DYNAMIC APPROACH FOR CLUSTERING DATA
    GARCIA, JA
    FDEZVALDIVIA, J
    CORTIJO, FJ
    MOLINA, R
    SIGNAL PROCESSING, 1995, 44 (02) : 181 - 196
  • [29] Approach for Dynamic Problems in Clustering
    Minke, Anneke
    Ambrosi, Klaus
    Hahne, Felix
    INFORMATION TECHNOLOGIES IN ENVIRONMENTAL ENGINEERING, 2009, : 373 - 386
  • [30] A Dynamic Approach to Rough Clustering
    Peters, Georg
    Weber, Richard
    ROUGH SETS AND CURRENT TRENDS IN COMPUTING, PROCEEDINGS, 2008, 5306 : 379 - +