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For several years, the completion time and the decoding delay problems inInstantly Decodable Network Coding (IDNC) were considered separately and werethought to completely act against each other. Recently, some works aimed tobalance the effects of these two important IDNC metrics but none of themstudied a further optimization of one by controlling the other. In this paper,we study the effect of controlling the decoding delay to reduce the completiontime below its currently best known solution in persistent erasure channels. Wefirst derive the decoding-delay-dependent expressions of the users' and overallcompletion times. Although using such expressions to find the optimal overallcompletion time is NP-hard, we design two novel heuristics that minimizes theprobability of increasing the maximum of these decoding-delay-dependentcompletion time expressions after each transmission through a layered controlof their decoding delays. We, then, extend our study to the limited feedbackscenario. Simulation results show that our new algorithms achieves both a lowermean completion time and mean decoding delay compared to the best knownheuristic for completion time reduction. The gap in performance becomessignificant for harsh erasure scenarios.

Decoding Delay Controlled Reduction of Completion Time in Instantly Decodable Network Coding