Performance Analysis of Cooperative Multi-Carrier Relay-Based UAV Networks Over Generalized Fading Channels

📅 2026-09-17
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🤖 AI Summary
研究使用有限混合与期望最大化技术分析了在广义衰落信道中基于接力的多载波无人机网络的中断概率,推导了中断概率和平均可实现比特率的表达式。
📝 Abstract
The outage probability in a network of cooperative unmanned airborne vehicles (UAVs) over generalized fading channels is studied analytically using finite mixture with expectation maximization technique. A relay-based topology with one ground control unit (GCU) is considered, where the cooperative UAVs can communicate with the GCU directly or through relay. The application the UAV assigned for specifies the minimum required transmission rate the UAV should achieve. The outage probability of the system is defined as the probability that either the transmission rate over any of the links drops below a predefined minimum threshold for that link or the Relay-GCU link is not able to transmit the aggregate data from all relayed UAVs and the minimum rate required by the relay UAV itself. Throughout the paper, expressions for the outage probability and the average achievable bit rate of a cooperative multi-carrier system are derived over generalized fading channels. Finite Mixture with Expectation-Maximization algorithm is utilized to derive a simple approximate expression for the probability density function (pdf) of the achievable bit rate assuming adaptive M-ary quadrature amplitude modulation (M-QAM). This pdf is used to derive closed-form expressions for the outage probability and the average bit rate.
Problem

Research questions and friction points this paper is trying to address.

outage probability
cooperative UAVs
generalized fading channels
relay-based topology
minimum required transmission rate
Innovation

Methods, ideas, or system contributions that make the work stand out.

Finite Mixture with Expectation-Maximization
Outage Probability
Cooperative Multi-Carrier System
Generalized Fading Channels
Adaptive M-ary QAM
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Ibrahim Y. Abualhaol
Khalifa University, Sharjah, United Arab Emirates
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Mustafa M. Matalgah
The University of Mississippi, University, MS 38677