Abstract
In this paper, we study the resource allocation and non-orthogonal multiple access (NOMA) pairing problem in 5G scenario supporting three types of applications, i.e., enhanced mobile broadband (eMBB), massive machine type of communication (mMTC) and ultra-reliable and low latency communications (URLLC). Considering the specific time-frequency resource allocation strategy of users accessing various services, we first analyze the transmission performance of users, then, given the resource allocation strategy of URLLC users, we formulate the resource allocation and NOMA pairing problem of eMBB users and mMTC users as energy efficiency (EE) maximization problem. To solve the formulated problem, we transform it into two subproblems, i.e., power allocation subproblem, channel selection and NOMA pairing subproblem, which are solved respectively by using the Lagrangian dual algorithm and a proposed heuristic algorithm. Simulation results demonstrate the effectiveness of the proposed algorithm.
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