The complexity of Markov decision processes
Mathematics of Operations Research
Rate adaptation via link-layer feedback for goodput maximization over a time-varying channel
IEEE Transactions on Wireless Communications
Rate-maximizing power allocation in OFDM based on partial channel knowledge
IEEE Transactions on Wireless Communications
POMDP-Based Coding Rate Adaptation for Type-I Hybrid ARQ Systems over Fading Channels with Memory
IEEE Transactions on Wireless Communications
Optimization and performance evaluation of multicarrier transmission
IEEE Transactions on Information Theory
Multiuser OFDM with adaptive subcarrier, bit, and power allocation
IEEE Journal on Selected Areas in Communications
Transmit power adaptation for multiuser OFDM systems
IEEE Journal on Selected Areas in Communications
Computer Networks: The International Journal of Computer and Telecommunications Networking
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In OFDMA downlink resource allocation, the base station exploits knowledge of the users' channel realizations in order to opportunistically assign users to appropriate subchannels, as well as to optimize the rates and powers across those subchannels. Because reverse-link bandwidth is scarce, the base station's channel knowledge must be obtained via some form of limited feedback. While the typical assumption for this feedback is that it comes in the form of heavily quantized SNR estimates computed at the user terminals, we propose to use ACK/NAK feedback that is already provided by higher-layer ARQ. Towards this aim, we propose a greedy resource allocation scheme, based on distributional (rather than point) estimates of SNR. We also show how these SNR distributions can be updated recursively for Markov time-varying channels.