Super-Modular Game-Based User Scheduling and Power Allocation for Energy-Efficient NOMA Network - 2018


In this Project, we tend to contemplate a single cell downlink non-orthogonal multiple access (NOMA) network and aim at maximizing the energy efficiency. The energy-efficient resource allocation problem is formulated as a non-convex and NP-laborious downside. To decrease the computation complexity, we have a tendency to decouple the optimization drawback as a subchannel matching theme and power allocation subproblems. Within the subchannel matching theme, a non-cooperative game is applied to model this downside. To discuss the existence of Nash equilibrium (NE), we tend to introduce an excellent-modular game and then design an algorithm to converge to the NE purpose. Moreover, a greed subchannel matching algorithm with low complexity is given through a 2-way selection between users and subchannels. But, for given subchannel matching theme, power allocation remains a non-convex drawback, that is troublesome to get the optimal solution. We tend to then remodel the non-convex problem to a convex problem by applying a successive convex approximation method. Afterward, we offer an algorithm to converge to suboptimal solution by solving a convex downside iteratively. Finally, simulation result demonstrates that the energy potency performance of the NOMA system is better than the orthogonal frequency division multiple access system.

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