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This paper considers the downlink traffic from a base station to twodifferent clients. When assuming infinite backlog, it is known thatinter-session network coding (INC) can significantly increase the throughput.However, the corresponding scheduling solution (when assuming dynamic arrivalsinstead and requiring bounded delay) is still nascent. For the 2-flow downlinkscenario, we propose the first opportunistic INC + scheduling solution that isprovably optimal for time-varying channels, i.e., the corresponding stabilityregion matches the optimal Shannon capacity. Specifically, we first introduce anew binary INC operation, which is distinctly different from the traditionalwisdom of XORing two overheard packets. We then develop a queue-length-basedscheduling scheme and prove that it, with the help of the new INC operation,achieves the optimal stability region with time-varying channel quality. Theproposed algorithm is later generalized to include the capability of rateadaptation. Simulation results show that it again achieves the optimalthroughput with rate adaptation. A byproduct of our results is a schedulingscheme for stochastic processing networks (SPNs) with random departure, whichrelaxes the of deterministic departure in the existing results.

Robust And Optimal Opportunistic Scheduling For Downlink 2-Flow Network  Coding With Varying Channel Quality and Rate Adaptation (New Simulation  Figures)