Opportunities for Network Coding: To Wait or Not to Wait

• Published in: IEEE/ACM transactions on networking Vol. 23; no. 6; pp. 1876 - 1889
• Main Authors: Yu-Pin Hsu, Abedini, Navid, Gautam, Natarajan, Sprintson, Alex, Shakkottai, Srinivas
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2015; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Channels; Coding; Cost engineering; Delay; Delay-aware scheduling; Delays; Economic models; Encoding; IEEE transactions; Markov decision process; Markov processes; Network coding; optimal control; Optimization; Packet transmission; Policies; Relays; Stochasticity; wireless network coding; Wireless networks
• ISSN: 1063-6692; 1558-2566
• DOI: 10.1109/TNET.2014.2347339

It has been well established that wireless network coding can significantly improve the efficiency of multihop wireless networks. However, in a stochastic environment, some of the packets might not have coding pairs, which limits the number of available coding opportunities. In this context, an important decision is whether to delay packet transmission in hope that a coding pair will be available in the future or transmit a packet without coding. This paper addresses this problem by establishing a stochastic dynamic framework whose objective is to minimize a long-run average cost. We identify an optimal control policy that minimizes the costs due to a combination of transmissions and packet delays. We show that the optimal policy would be stationary, deterministic, and threshold-type based on queue lengths. Our analytical approach is applicable for many cases of interest such as time-varying on/off channels. We further substantiate our results with simulation experiments for more generalized settings.