Multiuser rate allocation games for multimedia communications
IEEE Transactions on Multimedia - Special issue on quality-driven cross-layer design for multimedia communications
Utility max-min fair rate allocation for multiuser multimedia communications
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
QACO: exploiting partial execution in web servers
Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference
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We study the problem of optimal resource allocation for multi-user multiaccess wireless video communication from an information-theoretic point of view. We derive the optimal resource allocation policies by directly maximizing at the application layer the weighted sum of video qualities of all users, subject to information-theoretic multiaccess capacity region constraints in the MAC-PHY layers. We solve this problem for three multiaccess capacity regions: (1) non-fading channel, (2) fading channel with a given power control policy, and (3) fading channel with dynamic power control policies. The optimal resource allocation policy is referred as largest quality improvement highest possible rate (LQIHPR). We propose simple greedy algorithms to implement this policy. Since the capacity region is the fundamental characterization of achievable rates, the solutions developed in this paper provide the operational upper bound of achievable video quality in a multiaccess fading channel.