arXiv Analytics

Sign in

arXiv:cs/0601098 [cs.IT]AbstractReferencesReviewsResources

Energy Efficiency and Delay Quality-of-Service in Wireless Networks

Farhad Meshkati, H. Vincent Poor, Stuart C. Schwartz, Radu V. Balan

Published 2006-01-23Version 1

The energy-delay tradeoffs in wireless networks are studied using a game-theoretic framework. A multi-class multiple-access network is considered in which users choose their transmit powers, and possibly transmission rates, in a distributed manner to maximize their own utilities while satisfying their delay quality-of-service (QoS) requirements. The utility function considered here measures the number of reliable bits transmitted per Joule of energy consumed and is particularly useful for energy-constrained networks. The Nash equilibrium solution for the proposed non-cooperative game is presented and closed-form expressions for the users' utilities at equilibrium are obtained. Based on this, the losses in energy efficiency and network capacity due to presence of delay-sensitive users are quantified. The analysis is extended to the scenario where the QoS requirements include both the average source rate and a bound on the average total delay (including queuing delay). It is shown that the incoming traffic rate and the delay constraint of a user translate into a "size" for the user, which is an indication of the amount of resources consumed by the user. Using this framework, the tradeoffs among throughput, delay, network capacity and energy efficiency are also quantified.

Comments: To be presented at the Inaugural Workshop of the Center for Information Theory and Its Applications, University of California - San Diego, La Jolla, CA, February 6 - 10, 2006
Categories: cs.IT, math.IT
Related articles: Most relevant | Search more
arXiv:1803.00680 [cs.IT] (Published 2018-03-02)
A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems
arXiv:1610.01988 [cs.IT] (Published 2016-10-06)
Fundamental properties of solutions to utility maximization problems in wireless networks
arXiv:1305.3959 [cs.IT] (Published 2013-05-17)
Spectral Efficiency and Energy Efficiency of OFDM Systems: Impact of Power Amplifiers and Countermeasures