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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rui Wang Lau, V.K.N. Ying Cui |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of ECE, The Hong Kong University of Science and Technology, Hong Kong (Rui Wang; Lau, V.K.N.; Ying Cui) |
| Abstract | In this paper, we consider a queue-aware distributive resource control algorithm for two-hop MIMO cooperative systems. We shall illustrate that relay buffering is an effective way to reduce the intrinsic half-duplex penalty in cooperative systems. The complex interactions of the queues at the source node and the relays are modeled as an average-cost infinite horizon Markov Decision Process (MDP). The traditional approach solving this MDP problem involves centralized control with huge complexity. To obtain a distributive and low complexity solution, we introduce a linear structure which approximates the value function of the associated Bellman equation by the sum of per-node value functions. We derive a distributive two-stage two-winner auction-based control policy which is a function of the local CSI and local QSI only. Furthermore, to estimate the best fit approximation parameter, we propose a distributive online stochastic learning algorithm using stochastic approximation theory. Finally, we establish technical conditions for almost-sure convergence and show that under heavy traffic, the proposed low complexity distributive control is global optimal. |
| Starting Page | 5630 |
| Ending Page | 5635 |
| File Size | 734593 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424477456 |
| ISSN | 07431546 |
| e-ISBN | 9781424477463 |
| DOI | 10.1109/CDC.2010.5717597 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Markov processes |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Optimization Control and Systems Engineering Modeling and Simulation |
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