NDLI: A simulation comparison of distributed power control algorithms for wireless communications

Content Provider	IEEE Xplore Digital Library
Author	Musku, M.R. Chronopoulos, A.T. Popescu, D.C.
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. Eng., Texas Univ., San Antonio, TX, USA (Musku, M.R.)
Abstract	A major challenge in the operation of wireless communication systems is the effective use of radio resources to promote the quality and efficiency of the system. One such component is the power control in the mobile terminals, which is a measure of energy efficiency. Controlling the power at each wireless user not only increases the operating life of the battery, but also increases the overall system capacity by reducing the interference at each user. Game theory, a powerful tool in modelling interaction between self interested users and predicting their choice of strategies was recently used for power control in wireless data systems. Many power control algorithms have been proposed in the past decade. In this paper, we study these algorithms, present a suite of distributed power control algorithms, implement them and compare to a game theoretic algorithm. Here the concept of constraining the SIR of each user is introduced to increase the rate of convergence of these algorithms. It is also seen that the utilities increase as a result of constraining the SIR in some algorithms. We present simulation results which illustrate the utilities obtained by these algorithms, and their convergence to specified quality of service (QoS). Further, we compare the results obtained by these algorithms with the power control based on game theory.
Starting Page	263
Ending Page	266
File Size	686407
Page Count	4
File Format	PDF
ISBN	0780390296
DOI	10.1109/ISSCS.2005.1509904
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-14
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless communication Power measurement Power control Energy measurement Communication system control Quality of service Battery charge measurement Energy efficiency Game theory Convergence
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Distributed power control in wireless communication systems

Efficient power control for broadcast in wireless communication systems

Distributed game-theoretic power control for wireless data over MIMO CDMA system

Opportunistic distributed power control with QOS guarantee in wireless communication systems

Energy efficiency improved game-theoretic distributed power control algorithm for best effort services in wireless communications systems

Link budget based on quality of service

Evolutionary game dynamics with migration for hybrid power control in wireless communications

Distributed joint rate and power control game-theoretic algorithms for wireless data

Potential Games: A Framework for Vector Power Control Problems With Coupled Constraints

A simulation comparison of distributed power control algorithms for wireless communications

Similar Documents

Distributed power control in wireless communication systems

Efficient power control for broadcast in wireless communication systems

Distributed game-theoretic power control for wireless data over MIMO CDMA system

Opportunistic distributed power control with QOS guarantee in wireless communication systems

Energy efficiency improved game-theoretic distributed power control algorithm for best effort services in wireless communications systems

Link budget based on quality of service

Evolutionary game dynamics with migration for hybrid power control in wireless communications

Distributed joint rate and power control game-theoretic algorithms for wireless data

Potential Games: A Framework for Vector Power Control Problems With Coupled Constraints

A simulation comparison of distributed power control algorithms for wireless communications