NDLI: Optimality of Myopic Sensing in Multi-Channel Opportunistic Access

Content Provider	IEEE Xplore Digital Library
Author	Javidi, T. Krishnamachari, B. Qing Zhao Mingyan Liu
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of California, San Diego, CA (Javidi, T.)
Abstract	We consider opportunistic communications over multiple channels where the state ("good" or "bad") of each channel evolves as independent and identically distributed Markov processes. A user, with limited sensing and access capability, chooses one channel to sense and subsequently access (based on the sensed channel state) in each time slot. A reward is obtained when the user senses and accesses a "good" channel. The objective is to design the optimal channel selection policy that maximizes the expected reward accrued over time. This problem can be generally formulated as a Partially Observable Markov Decision Process (POMDP) or a restless multi-armed bandit process, to which optimal solutions are often intractable. We show in this paper that the myopic policy, with a simple and robust structure, achieves optimality under certain conditions. This result finds applications in opportunistic communications in fading environment, cognitive radio networks for spectrum overlay, and resource-constrained jamming and anti-jamming.
Starting Page	2107
Ending Page	2112
File Size	158520
Page Count	6
File Format	PDF
ISBN	9781424420759
DOI	10.1109/ICC.2008.404
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Jamming Fading Robustness Cognitive radio Stochastic processes Communications Society Markov processes Context modeling Security Decision making
Content Type	Text
Resource Type	Article

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