Admission Control and Power Allocation for NOMA-Based Satellite Multi-Beam Network

Abstract

This paper investigates the admission control problem on the satellite multi-beam networks with non-orthogonal multiple access (NOMA). The goal is to maximize the number of supported users on the premise of ensuring the quality of service (QoS) by optimizing the subchannel and power allocation. We provide the system model and then formulate the admission control problem as a mixed integer non-convex optimization problem. The non-convexity and existence of integer variable make the optimal solution difficult to get. Therefore, we propose a joint subchannel matching and power allocation algorithm to obtain the suboptimal solution so as to reduce the computation complexity. The proposed algorithm can be used for both NOMA and orthogonal frequency division multiplexing access (OFDMA). Specifically, the subchannel matching problem is solved by a two-stage matching process where users are accessed to subchannel dynamically. The power allocation problem is modeled as a super-modular game where the existence and uniqueness of Nash equilibrium (NE) are analyzed. Moreover, an iterative power allocation algorithm is proposed based on the NE searching method. Finally, simulation results are provided for demonstrating the effectiveness and feasibility of the proposed algorithm. INDEX TERMS Admission control, matching theory, multi-beam satellite system, non-orthogonal multiple access, subchannel, power allocation.

Optimal Power Allocation in Downlink Multicarrier NOMA Systems: Theory and Fast Algorithms

“…As such, the network cannot support all of the users simultaneously, thus an admission control policy is necessary to support the maximum possible number of users/transmitted symbols on subchannels. There are few works addressing the admission control for the SC/MC-NOMA systems [60]- [63]. The globally optimal admission control policy for the general SC/MC-NOMA systems with individual minimum rate demands is still an open problem.…”

Multi-Objective Optimization of Joint Power and Admission Control in Cognitive Radio Networks Using Enhanced Swarm Intelligence

“…The authors in [48] proposed a quality of experience (QoE) oriented rate control and resource allocation for cognitive machine-to-machine (M2M) communication in spectrum-sharing OFDM networks, but the power allocation was not taken into account. In addition, the literature reveals that the JPAC problem has been studied in various non-CR network models, channel access strategies and applications including heterogeneous networks (HetNets) [49][50][51], non-orthogonal multiple access (NOMA) [52][53][54] R47,48,49, orthogonal frequency division multiple access (OFDMA) [55][56][57], D2D/M2M communication [58][59][60] and beamforming [49,61,62].…”