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On Myopic Sensing for Multi-Channel Opportunistic Access: Structure, Optimality, and Performance (2008)
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| Venue: | IN PROC. ICC |
| Citations: | 102 - 36 self |
BibTeX
@INPROCEEDINGS{Zhao08onmyopic,
author = {Qing Zhao and Bhaskar Krishnamachari and Keqin Liu},
title = {On Myopic Sensing for Multi-Channel Opportunistic Access: Structure, Optimality, and Performance},
booktitle = {IN PROC. ICC},
year = {2008},
publisher = {}
}
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Abstract
We consider a multi-channel opportunistic communication system where the states of these channels evolve as independent and statistically identical Markov chains (the Gilbert-Elliot channel model). A user chooses one channel to sense and access in each slot and collects a reward determined by the state of the chosen channel. The problem is to design a sensing policy for channel selection to maximize the average reward, which can be formulated as a multi-arm restless bandit process. In this paper, we study the structure, optimality, and performance of the myopic sensing policy. We show that the myopic sensing policy has a simple robust structure that reduces channel selection to a round-robin procedure and obviates the need for knowing the channel transition probabilities. The optimality of this simple policy is established for the two-channel case and conjectured for the general case based on numerical results. The performance of the myopic sensing policy is analyzed, which, based on the optimality of myopic sensing, characterizes the maximum throughput of a multi-channel opportunistic communication system and its scaling behavior with respect to the number of channels. These results apply to cognitive radio networks, opportunistic transmission in fading environments, downlink scheduling in centralized networks, and resource-constrained jamming and anti-jamming.
Keyphrases
myopic sensing policy multi-channel opportunistic access multi-channel opportunistic communication system multi-arm restless bandit process numerical result round-robin procedure multichannel mac channel transition probability maximum throughput general case gilbert-elliot channel model opportunistic transmission identical markov chain radio network myopic sensing average reward channel selection scaling behavior chosen channel sensing policy cognitive radio myopic policy resource-constrained jamming simple robust structure centralized network two-channel case simple policy index term opportunistic access
