NDLI: Power allocation game considering QoS and interference for fading multiple access channels

Content Provider	IEEE Xplore Digital Library
Author	Zabihi, P. Sabahi, M.F. Shahtalebi, K.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. Eng., Islamic Azad Univ., Isfahan, Iran (Zabihi, P.) \|\| Dept. of Electr. Eng., Univ. of Isfahan, Isfahan, Iran (Sabahi, M.F.; Shahtalebi, K.)
Abstract	In this paper we have integrated Game theory framework, effective capacity theory and interference minimization for power allocation analysis over fading multiple access channels (MAC). Game theory is a powerful tool for modeling selfish behavior of competitors in resource allocation contest and can be used effectively in designing and modeling behavior of users in distributed resource allocation situations. Effective capacity is a useful tool that can impressively characterize delay constraint for wireless links. Interference consideration is too critical in multiple access channels and dynamic spectrum access policies. Here we set up a non-cooperative game and then we derive Nash equilibrium by analyzing the two player game. In the sense of simultaneous transmission our proposed policy caused less interference to users and better rates in Shannon capacity region achieved while considering QoS of users. We investigate the performance of our scheme for cases in which the QoS constraints of users increased and then we compare our scheme with the QoS-Driven power allocation game.
Starting Page	1166
Ending Page	1171
File Size	388161
Page Count	6
File Format	PDF
e-ISBN	9781479953592
DOI	10.1109/ISTEL.2014.7000880
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-09
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fading Game Theory Effective Capacity Power Allocation Interference Minimization Quality of service Games Interference Nash equilibrium Delays Multiple Access Channels Resource management
Content Type	Text
Resource Type	Article

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