Clustering and Power Allocation for UAV-assisted NOMA-VLC Systems: A Swarm Intelligence Approach

07/12/2020
by   Quoc-Viet Pham, et al.
0

Integrating unmanned aerial vehicles (UAV) to non-orthogonal multiple access (NOMA) visible light communications (VLC) exposes many potentials over VLC and NOMA-VLC systems. In this circumstance, user grouping is of importance to reduce the NOMA decoding complexity when the number of users is large; however, this issue has not been considered in the existing study. In this paper, we aim to maximize the weighted sum-rate of all the users by jointly optimizing UAV placement, user grouping, and power allocation in downlink NOMA-VLC systems. We first consider an efficient user clustering strategy, then apply a swarm intelligence approach, namely Harris Hawk Optimization (HHO), to solve the joint UAV placement and power allocation problem. Simulation results show outperformance of the proposed algorithm in comparison with four alternatives: OMA, NOMA without pairing, NOMA-VLC with fixed UAV placement, and random user clustering.

READ FULL TEXT
research
01/10/2021

Sum-Rate Maximization for UAV-assisted Visible Light Communications using NOMA: Swarm Intelligence meets Machine Learning

As the integration of unmanned aerial vehicles (UAVs) into visible light...
research
04/20/2022

Placement and Resource Allocation of Wireless-Powered Multiantenna UAV for Energy-Efficient Multiuser NOMA

This paper investigates a new downlink nonorthogonal multiple access (NO...
research
09/15/2018

UAV Communications Based on Non-Orthogonal Multiple Access

This article proposes a novel framework for unmaned aerial vehicle (UAV)...
research
06/08/2021

AdaptSky: A DRL Based Resource Allocation Framework in NOMA-UAV Networks

Unmanned aerial vehicle (UAV) has recently attracted a lot of attention ...
research
07/17/2020

Trajectory Design and Power Allocation for Drone-Assisted NR-V2X Network with Dynamic NOMA/OMA

In this paper, we find trajectory planning and power allocation for a ve...
research
03/29/2023

Multi-Agent Reinforcement Learning with Action Masking for UAV-enabled Mobile Communications

Unmanned Aerial Vehicles (UAVs) are increasingly used as aerial base sta...
research
11/17/2020

User Clustering in mmWave-NOMA Systems with User Decoding Capability Constraints for B5G Networks

This paper proposes a millimeter wave-NOMA (mmWave-NOMA) system that tak...

Please sign up or login with your details

Forgot password? Click here to reset