Energy Efficient Pairing and Power Optimization for NOMA UAV Network under QoS Constraints
Irfan Azam, Muhammad Basit Shahab, and Soo Young Shin

TL;DR
This paper proposes an energy-efficient user pairing and power allocation scheme for NOMA-based UAV networks, optimizing power use while ensuring QoS, and demonstrating significant performance improvements over traditional methods.
Contribution
It introduces a novel joint user pairing and power allocation method tailored for mobile UAVs in NOMA networks, addressing energy efficiency and QoS constraints.
Findings
Reduced power consumption for UAV uplink transmission.
Enhanced QoS fulfillment for mobile UAVs.
Superior performance over conventional NOMA techniques.
Abstract
Due to an increasing number of unmanned aerial vehicles (UAVs) with generally limited battery power, energy efficient data transmission schemes with massive connectivity capabilities are required for future wireless networks. Non-orthogonal multiple access (NOMA) is one of the promising techniques that provide such massive connectivity by allowing superposed data transmission of multiple users over the same resource block. Unlike existing literature, this paper presents a user pairing and power allocation technique for energy efficient and quality of service (QoS) aware NOMA transmission for cellular-connected mobile UAVs. The aim is to minimize the power consumption of the mobile UAVs during uplink data transmission and guarantee their required transmission rate by jointly optimizing the UAV pairing and power allocation. Furthermore, the performance and pairing complexity for mobile…
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Taxonomy
TopicsUAV Applications and Optimization · Advanced Wireless Communication Technologies · Satellite Communication Systems
