Reliability Bounds for Delay-Constrained Multi-hop Networks

Computer Science – Information Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

7 pages

Scientific paper

We consider a linear multi-hop network composed of multi-state discrete-time memoryless channels over each hop, with orthogonal time-sharing across hops under a half-duplex relaying protocol. We analyze the probability of error and associated reliability function \cite{Gallager68} over the multi-hop network; with emphasis on random coding and sphere packing bounds, under the assumption of point-to-point coding over each hop. In particular, we define the system reliability function for the multi-hop network and derive lower and upper bounds on this function to specify the reliability-optimal operating conditions of the network under an end-to-end constraint on the total number of channel uses. Moreover, we apply the reliability analysis to bound the expected end-to-end latency of multi-hop communication under the support of an automatic repeat request (ARQ) protocol. Considering an additive white Gaussian noise (AWGN) channel model over each hop, we evaluate and compare these bounds to draw insights on the role of multi-hopping toward enhancing the end-to-end rate-reliability-delay tradeoff.

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

Reliability Bounds for Delay-Constrained Multi-hop 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 Reliability Bounds for Delay-Constrained Multi-hop Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Reliability Bounds for Delay-Constrained Multi-hop Networks will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-486371

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