Power Control for Maximum Throughput in Spectrum Underlay Cognitive Radio Networks

Computer Science – Information Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

We investigate power allocation for users in a spectrum underlay cognitive network. Our objective is to find a power control scheme that allocates transmit power for both primary and secondary users so that the overall network throughput is maximized while maintaining the quality of service (QoS) of the primary users greater than a certain minimum limit. Since an optimum solution to our problem is computationally intractable, as the optimization problem is non-convex, we propose an iterative algorithm based on sequential geometric programming, that is proved to converge to at least a local optimum solution. We use the proposed algorithm to show how a spectrum underlay network would achieve higher throughput with secondary users operation than with primary users operating alone. Also, we show via simulations that the loss in primary throughput due to the admission of the secondary users is accompanied by a reduction in the total primary transmit power.

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

Power Control for Maximum Throughput in Spectrum Underlay Cognitive Radio Networks 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 Power Control for Maximum Throughput in Spectrum Underlay Cognitive Radio Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Power Control for Maximum Throughput in Spectrum Underlay Cognitive Radio Networks will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-308086

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