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Non-orthogonal multiple access (NOMA) is a promising transmission schemeemployed at the physical layer to improve the spectral efficiency. In thispaper, we develop a novel cross-layer approach by employing NOMA at thephysical layer and instantly decodable network coding (IDNC) at the networklayer in downlink cellular networks. Following this approach, two IDNC packetsare selected for each transmission, with one designed for all receivers and theother designed only for the strong receivers which can employ successiveinterference cancellation (SIC). The IDNC packets selection, transmission ratesadaption for the two IDNC packets, and NOMA power allocation are jointlyconsidered to improve the throughput of the network. Given the intractabilityof the problem, we decouple it into two separate subproblems, the IDNCscheduling which jointly selects the IDNC packets and the transmission rateswith the given NOMA power allocation, and the NOMA power allocation with thegiven IDNC scheduling. The IDNC scheduling can be reduced to a maximum weightclique problem, and two heuristic algorithms named as maximum weight vertex(MWV) search and maximum weight path based maximum weight vertex (MWP-MWV)search are developed to solve the first subproblem. An iterative functionevaluation (IFE) approach is proposed to solve the second subproblem.Simulation results are presented to demonstrates the throughput gain of theproposed approach over the existing solutions.

Throughput Maximization for Instantly Decodable Network Coded NOMA in Broadcast Communication Systems