Distributed power control in wireless communication systems

被引:5
|
作者
Jagannathan, S [1 ]
Chronopoulos, AT [1 ]
Ponipireddy, S [1 ]
机构
[1] Univ Missouri, Dept Elect & Comp Engn, Rolla, MO 65401 USA
关键词
signal to interference ratio (SIR); energy efficiency; wireless network; distributed power control;
D O I
10.1109/ICCCN.2002.1043112
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Energy efficiency is a measure of performance in wireless networks. Therefore, controlling the transmitter power at a given node increases not only the operating life of the battery but also the overall system capacity, by successfully admitting new links between a source and a destination. It is essential to find effective means of power control of point-to-point, broadcasting and multicasting scenarios. The wireless networking presents formidable challenges and we consider the problem of unicast or point to point (peer-to-peer) communication in wireless networks in the presence of other nodes. We study the feasibility of admitting new links in an operating area in a wireless network while maintaining the quality of service (QoS) in terms of Signal to Interference ratio (SIR) for each link. The SIR is maintained by adjusting the transmitter power levels at each source for a given link. Distributed power control (DPC) is a natural choice for such purposes because, unlike centralized power control, DPC should be able to adjust the power levels of each transmitted signal using local measurements, so that in a reasonable time, all nodes/links will maintain the desired SIR. In this paper, we present a suite of DPC schemes using both the state space and optimal control methodology in discrete-time. Further, we prove the convergence of the overall network with our algorithm using Lyapunov stability analysis in comparison with an available DPC scheme in the literature. We present simulation results and comparisons to one of the well known DPC scheme in the literature for point to point communications in the case of overlapping scenario.
引用
收藏
页码:493 / 496
页数:4
相关论文
共 50 条
  • [21] Power Variations of Wireless Communication Systems
    Andersen, J. B.
    Mogensen, P. E.
    Pedersen, G. F.
    [J]. BIOELECTROMAGNETICS, 2010, 31 (04) : 302 - 310
  • [22] Distributed Wireless Visual Communication With Power Distortion Optimization
    Fan, Xiaopeng
    Wu, Feng
    Zhao, Debin
    Au, Oscar C.
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2013, 23 (06) : 1040 - 1053
  • [23] CONTROL COMMUNICATION COMPLEXITY OF DISTRIBUTED CONTROL SYSTEMS
    Wong, Wing Shing
    [J]. SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2009, 48 (03) : 1722 - 1742
  • [24] Analysis of a class of distributed asynchronous power control algorithms for cellular wireless systems
    Herdtner, JD
    Chong, EKP
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2000, 18 (03) : 436 - 446
  • [25] Control of distributed power systems
    Chen, Z.
    Hu, Y.
    Blaabjerg, F.
    [J]. IPEMC 2006: CES/IEEE 5TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE, VOLS 1-3, CONFERENCE PROCEEDINGS, 2006, : 2029 - +
  • [26] Wireless communication for control of manipulation systems
    Belda, Kvetoslav
    Rychnovský, Václav
    Píša, Pavel
    [J]. Archives of Control Sciences, 2012, 22 (01) : 29 - 41
  • [27] INTERPROCESSOR COMMUNICATION IN SYSTEMS WITH DISTRIBUTED CONTROL
    JOVIC, N
    COUTURIER, GW
    [J]. PROCEEDINGS OF THE IEEE, 1977, 65 (09) : 1323 - 1329
  • [28] Communication and control of distributed hybrid systems
    Simsek, T
    Varaiya, P
    de Sousa, JB
    [J]. PROCEEDINGS OF THE 2001 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2001, : 4968 - 4983
  • [29] Stochastic power control in wireless communication systems with an infinite horizon discounted cost
    Huang, MY
    Malhame, RP
    Caines, PE
    [J]. PROCEEDINGS OF THE 2003 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2003, : 963 - 968
  • [30] Distributed power control for DERs based on networked multiagent systems with communication delays
    Lai, Jingang
    Zhou, Hong
    Lu, Xiaoqing
    Liu, Zhiwei
    [J]. NEUROCOMPUTING, 2016, 179 : 135 - 143