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Approximation Algorithms for Throughput Maximization in Wireless Networks With Delay Constraints

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4 Author(s)
Guanhong Pei ; Dept. of Electr. & Comput. Eng., Virginia Tech, Blacksburg, VA, USA ; Parthasarathy, S. ; Srinivasan, A. ; Vullikanti, A.K.S.

We study the problem of throughput maximization in multihop wireless networks with end-to-end delay constraints for each session. This problem has received much attention starting with the work of Grossglauser and Tse (2002), and it has been shown that there is a significant tradeoff between the end-to-end delays and the total achievable rate. We develop algorithms to compute such tradeoffs with provable performance guarantees for arbitrary instances, with general interference models. Given a target delay-bound Δ(c) for each session c, our algorithm gives a stable flow vector with a total throughput within a factor of O(log Δm/loglog Δm) of the maximum, so that the per-session (end-to-end) delay is O(((log Δm/loglog Δm)Δ(c))2), where Δm=maxc{Δ(c)}; note that these bounds depend only on the delays, and not on the network size, and this is the first such result, to our knowledge.

Published in:

Networking, IEEE/ACM Transactions on  (Volume:21 ,  Issue: 6 )

Date of Publication:

Dec. 2013

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