PROJECT TITLE :

Completion Delay Minimization for Instantly Decodable Network Codes

ABSTRACT:

In this paper, we tend to think about the matter of minimizing the completion delay for instantly decodable network coding (IDNC) in wireless multicast and broadcast eventualities. We are interested in this class of network coding because of its various benefits, like low decoding delay, low coding and decoding complexities, and easy receiver necessities. We tend to initial extend the IDNC graph, that represents all feasible IDNC coding opportunities, to efficiently operate in each multicast and broadcast scenarios. We tend to then formulate the minimum completion delay problem for IDNC as a stochastic shortest path (SSP) downside. Although finding the optimal policy using SSP is intractable, we have a tendency to use this formulation to draw the theoretical tips for the policies that may minimize the completion delay in IDNC. Primarily based on these guidelines, we design a most weight clique selection algorithm, that will efficiently cut back the IDNC completion delay in polynomial time. We have a tendency to additionally style a quadratic-time heuristic clique choice algorithm, that can operate in real-time applications. Simulation results show that our proposed algorithms significantly reduce the IDNC completion delay compared to the random and most-rate algorithms, and almost achieve the world optimal completion delay performance over all network codes in broadcast situations.


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