DocumentCode
2389586
Title
Distributed power control in wireless communication systems
Author
Jagannathan, S. ; Chronopoulos, A.T. ; Ponipireddy, S.
Author_Institution
Dept of Electr. & Comput. Eng., Missouri Univ., Rolla, MO, USA
fYear
2002
fDate
14-16 Oct. 2002
Firstpage
493
Lastpage
496
Abstract
Energy efficiency is a measure of performance in wireless networks. Therefore, controlling the transmitter power at a given node increases not only battery operating life, but also overall system capacity by successfully admitting new links. It is essential to find effective means of power control in point-to-point, broadcasting and multicasting scenarios. 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 wireless network operating area while maintaining quality of service (QoS), in terms of signal-to-interference ratio (SIR), for each link. 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 this purpose 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 maintain the desired SIR. We present a suite of DPC schemes using both 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 a well known DPC scheme (see Bambos, N. et al., IEEE ACM Trans. on Networking, p.583-97, 2000). We present simulation results and comparisons for point to point communications in an overlapping scenario.
Keywords
Lyapunov methods; energy conservation; optimal control; power control; quality of service; radio links; state-space methods; telecommunication control; Lyapunov stability analysis; QoS; SIR; broadcasting; distributed power control; energy efficiency; multicasting; optimal control; peer-to-peer communication; point-to-point communication; quality of service; signal-to-interference ratio; state space control; wireless communication systems; Battery charge measurement; Communication system control; Energy efficiency; Energy measurement; Peer to peer computing; Power control; Quality of service; Transmitters; Wireless communication; Wireless networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Communications and Networks, 2002. Proceedings. Eleventh International Conference on
ISSN
1095-2055
Print_ISBN
0-7803-7553-X
Type
conf
DOI
10.1109/ICCCN.2002.1043112
Filename
1043112
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