Power allocation and temporal fair user group scheduling for downlink NOMA

Abstract

Non-Orthogonal Multiple Access (NOMA) has been proposed as a new radio access technique for cellular networks as an alternative to OMA (Orthogonal Multiple Access) in which the users of a group (pairs or triples of users in a group are considered in this paper) are allowed to use the wireless channel simultaneously. In this paper, for downlink single-input single-output SISO-NOMA, a heuristic power allocation algorithm within a group is first proposed which attempts to ensure that the users of a group benefit from simultaneous transmission equally in terms of achievable throughput. Moreover, a user group scheduling algorithm is proposed for downlink NOMA systems by which a user group is to be dynamically selected for transmission while satisfying long term temporal fairness among the individual contending users. The effectiveness of the proposed power allocation method along with the temporal fair scheduling algorithm for downlink NOMA is validated with simulations and the performance impact of the transmit power and the coverage radius of the base station as well as the number of users are thoroughly studied.

Power Allocation Using Multi-Objective Sum Rate Based Butterfly Optimization Algorithm for NOMA Network

“…The channel capacity of the affected broadcast channels is improved using superposition coding and SIC [13]. The system maximizes interference because of the multi-user activity when the NOMA offers many transmission opportunities to the users [14]. Hence, power allocation is considered an essential issue used to achieve the full benefits of NOMA.…”

A novel approach to QoS‐aware resource allocation in NOMA cellular HetNets using multi‐layer optimization

“…In Reference 10, the authors proposed a low complexity algorithm to maximize the EE for MIMO‐enabled communications with multiple user equipment (UE) in a single‐carrier scenario. Considering perfect channel state information (CSI) and power transfer (SWIPT), Erturk et al 11 studied the energy consumption minimization problem for single‐input single‐output (SISO) C‐NOMA systems. Besides, Bez et al 12 introduced an iterative algorithm for EE maximization with in‐band full‐duplex (IBFD) enabled connections with energy harvesting capability.…”