Dynamic Resource Allocation in Non-orthogonal Multiple Access Using Weighted Maximin Fairness Strategy for a UAV Network
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Dynamic Resource Allocation in Non-orthogonal Multiple Access Using Weighted Maximin Fairness Strategy for a UAV Network Dhruba Raj Dhakal 1
&
Zhenni Pan 1 & Megumi Saito 1 & Shigeru Shimamoto 1
Received: 11 October 2019 / Revised: 2 June 2020 / Accepted: 8 June 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Non-orthogonal multiple access (NOMA) with power domain multiplexing and successive interference cancellation (SIC) is one of the promising technologies for future wireless communication. The performance of NOMA is highly dependent on resource allocation such as power allocation and channel assignment. In this paper, we investigate the power allocation (PA) scheme, to optimize the weighted maximin fairness (MMF) for 2-user and 3-user clusters. We utilize the particle swarm optimization (PSO) based algorithm for power allocation due to its promising behavior. Application area of NOMA is becoming broader, then, we considered a cellular network, assisted by an unmanned aerial vehicle (UAV) as the base station (BS) which is integrated with the NOMA system. The PA for weighted MMF problem in NOMA is non-convex, it is difficult to find out the optimal solution directly. Simulation results show the performance of PSO-based algorithm in different adaptive weights and its convergence characteristics. We have also shown that the rate and fairness tradeoff using weighted maximin fairness. Numerical results compare the performance of NOMA and orthogonal multiple access (OMA) and prove the significance of the proposed algorithm. Keywords NOMA. OMA. PSO. PA. Weighted MMF
1 Introduction In the recent decade, due to the rapid development of mobile internet, cloud-based applications, and the internet of things (IoTs), wireless data traffic is increasing exponentially. Hence, fifth-generation (5G) and beyond 5G (B5G) communication technology focuses to fulfill the requirements of high data rates, massive connectivity, and low latency. Some new technologies such as millimeter wave, massive MIMO, small cell, and heterogeneous network will be introduced in the 5G communication system. It is expected that concerning 4G networks, the 5G wireless communication system will be 10 to 100 times the user data rate, 10 to 100 times connected devices and about 1 millisecond of round-trip latency [1]. Besides these new technologies, multiple access technology plays a * Shigeru Shimamoto [email protected] Dhruba Raj Dhakal [email protected] 1
Department of Computer Science and Communications Engineering, Faculty of Science and Engineering, Waseda University, Tokyo, Japan
key role to achieve these requirements. In general, multiple access techniques can be categorized into orthogonal multiple access (OMA) and non-orthogonal multiple access (NOMA). Recently, NOMA is getting more attention among the researchers because of its promising performance to address the future wireless network challenges [2, 3]. However, OMA schemes such as frequency division multiple access (FDMA), time division multiple acc
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