Energy Efficient Resource Optimization for a Downlink NOMA Heterogeneous Small-Cell Network
Article 2018 en
Authors
FF
Fang Fang
JC
Julian Cheng
ZD
Zhiguo Ding
Abstract
1 min read
Non-orthogonal multiple access (NOMA) is considered to be a key technology for fifth-generation mobile communication networks due to its superior spectral efficiency. In this paper, the problem of energy efficient subchannel and power allocation is investigated for a downlink NOMA heterogeneous network. The energy efficient resource allocation problem is first formulated as a mixed integer nonconvex optimization problem. By exploiting convex relaxation and dual decomposition techniques, a closed-form expression is derived via a Lagrangian approach. Simulation results show that the proposed algorithm can converge within ten iterations and obtain high system energy efficiency.
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