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In this paper, we investigate dynamic resource scheduling (i.e., joint user,subchannel, and power scheduling) for downlink multi-channel non-orthogonalmultiple access (MC-NOMA) systems over time-varying fading channels.Specifically, we address the weighted average sum rate maximization problemwith quality-of-service (QoS) constraints. In particular, to facilitate fastresource scheduling, we focus on developing a very low-complexity algorithm. Tothis end, by leveraging Lagrangian duality and the stochastic optimizationtheory, we first develop an opportunistic MC-NOMA scheduling algorithm wherebythe original problem is decomposed into a series of subproblems, one for eachtime slot. Accordingly, resource scheduling works in an online manner bysolving one subproblem per time slot, making it more applicable to practicalsystems. Then, we further develop a heuristic joint subchannel assignment andpower allocation (Joint-SAPA) algorithm with very low computational complexity,called Joint-SAPA-LCC, that solves each subproblem. Finally, throughsimulation, we show that our Joint-SAPA-LCC algorithm provides good performancecomparable to the existing Joint-SAPA algorithms despite requiring much lowercomputational complexity. We also demonstrate that our opportunistic MC-NOMAscheduling algorithm in which the Joint-SAPA-LCC algorithm is embedded workswell while satisfying given QoS requirements.

Low-Complexity Dynamic Resource Scheduling for Downlink MC-NOMA Over Fading Channels