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2008
IEEE

Optimality of Myopic Sensing in Multi-Channel Opportunistic Access

8 years 9 months ago
Optimality of Myopic Sensing in Multi-Channel Opportunistic Access
—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...
Tara Javidi, Bhaskar Krishnamachari, Qing Zhao, Mi
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICC
Authors Tara Javidi, Bhaskar Krishnamachari, Qing Zhao, Mingyan Liu
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