Optimal Packet Scheduling on an Energy Harvesting Broadcast Link

Computer Science – Information Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

25 pages, 6 figures, added lemma and theorems, added reference, corrected typos

Scientific paper

The minimization of transmission completion time for a given number of bits per user in an energy harvesting communication system, where energy harvesting instants are known in an offline manner is considered. An achievable rate region with structural properties satisfied by the 2-user AWGN Broadcast Channel capacity region is assumed. It is shown that even though all data are available at the beginning, a non-negative amount of energy from each energy harvest is deferred for later use such that the transmit power starts at its lowest value and rises as time progresses. The optimal scheduler ends the transmission to both users at the same time. Exploiting the special structure in the problem, the iterative offline algorithm, FlowRight, from earlier literature, is adapted and proved to solve this problem. The solution has polynomial complexity in the number of harvests used, and is observed to converge quickly on numerical examples.

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

Optimal Packet Scheduling on an Energy Harvesting Broadcast Link 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 Optimal Packet Scheduling on an Energy Harvesting Broadcast Link, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Optimal Packet Scheduling on an Energy Harvesting Broadcast Link will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-115768

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