Abstract
The ever-increasing requirement of massive connectivity, due to the rapid deployment of internet of things (IoT) devices, in the emerging 5th generation (5G) mobile networks commands for even higher utilization of the available spectrum. Non-orthogonal multiple access (NOMA) is a promising solution that can effectively accommodate a higher number of users, resulting in increased spectrum utilization. In this work, we aim to maximize the total throughput of a NOMA system, while maintaining a good level of fairness among the users. We propose a three-step method where the first step matches the users to the channels using a heuristic matching algorithm, while the second step utilizes the particle swarm optimization algorithm to allocate the power to each channel. In the third step, the power allocated to each channel is further distributed to the multiplexed users based on their respective channel gains. Based on extensive performance simulations, the proposed method offers notable improvement, e.g., 15% in terms of system throughput and 55% in terms of user fairness.
Highlights
Future 5th generation (5G) mobile networks have increased requirements in terms of connectivity, data rates, capacity, and bandwidth
The User-subchannel matching algorithm (USMA) had the best performance of all compared methods as the users close to the base station (BS) are matched with more channels because
The UCM-particle swarm optimization (PSO) method has better performance compared to the extensive tabu search PSO (ETS-PSO) as the channel preference of each user is considered instead of enforcing a tabu search scheme which may result in a user not having a chance to match with a more preferred channel
Summary
Future 5th generation (5G) mobile networks have increased requirements in terms of connectivity, data rates, capacity, and bandwidth. Profound modifications are envisioned in the underlying infrastructure and wireless access technologies ([1,2,3,4]) in order to accommodate the exponentially increasing number of mobile devices [5]. The support for a massive number of internet of things (IoT) devices is a substantial requirement for the 5G of mobile networks [6,7]. The dense deployment of a massive number of devices increases the experienced interference. Schemes [8], the interference is mitigated by allocating time, frequency or code resources orthogonally. The limited available spectrum along with the massive number of deployed devices makes the orthogonal resource allocation inefficient and impractical [9,10]
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