Exploiting Channel Correlation and PU Traffic Memory for Opportunistic Spectrum Scheduling

Computer Science – Information Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

We consider a cognitive radio network with multiple primary users (PUs) and one secondary user (SU), where a spectrum server is utilized for spectrum sensing and scheduling the SU to transmit over one of the PU channels opportunistically. One practical yet challenging scenario is when \textit{both} the PU occupancy and the channel fading vary over time and exhibit temporal correlations. Little work has been done for exploiting such temporal memory in the channel fading and the PU occupancy simultaneously for opportunistic spectrum scheduling. A main goal of this work is to understand the intricate tradeoffs resulting from the interactions of the two sets of system states - the channel fading and the PU occupancy, by casting the problem as a partially observable Markov decision process. We first show that a simple greedy policy is optimal in some special cases. To build a clear understanding of the tradeoffs, we then introduce a full-observation genie-aided system, where the spectrum server collects channel fading states from all PU channels. The genie-aided system is used to decompose the tradeoffs in the original system into multiple tiers, which are examined progressively. Numerical examples indicate that the optimal scheduler in the original system, with observation on the scheduled channel only, achieves a performance very close to the genie-aided system. Further, as expected, the optimal policy in the original system significantly outperforms randomized scheduling, pointing to the merit of exploiting the temporal correlation structure in both channel fading and PU occupancy.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Exploiting Channel Correlation and PU Traffic Memory for Opportunistic Spectrum Scheduling does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Exploiting Channel Correlation and PU Traffic Memory for Opportunistic Spectrum Scheduling, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Exploiting Channel Correlation and PU Traffic Memory for Opportunistic Spectrum Scheduling will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-356194

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.