Details

Autor(en) / Beteiligte

• Gongliang Liu
• Ruisong Wang
• Haijun Zhang
• Wenjing Kang
• Tsiftsis, Theodoros A.
• Leung, Victor C. M.

Titel

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

Ist Teil von

• IEEE transactions on wireless communications, 2018-06, Vol.17 (6), p.3877-3888

Ort / Verlag

IEEE

Erscheinungsjahr

2018

Quelle

IEEE Electronic Library (IEL)【Remote access available】

Beschreibungen/Notizen

• In this paper, we consider 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-hard problem. To decrease the computation complexity, we decouple the optimization problem as a subchannel matching scheme and power allocation subproblems. In the subchannel matching scheme, a non-cooperative game is applied to model this problem. To discuss the existence of Nash equilibrium (NE), we introduce a super-modular game and then design an algorithm to converge to the NE point. Moreover, a greed subchannel matching algorithm with low complexity is given through a two-way choice between users and subchannels. However, for given subchannel matching scheme, power allocation is still a non-convex problem, which is difficult to get the optimal solution. We then transform the non-convex problem to a convex problem by applying a successive convex approximation method. Afterward, we provide an algorithm to converge to suboptimal solution by solving a convex problem iteratively. Finally, simulation result demonstrates that the energy efficiency performance of the NOMA system is better than the orthogonal frequency division multiple access system.