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Rate-Splitting-Based Resource Allocation in FANETs: Joint Optimization of Beam Direction, Node Pairing, Power and
Fukang Zhao1, Chuang Song2, Xu Li1
1School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China.
This study introduces a new resource allocation framework for directional flying ad hoc networks (FANETs) using intra-beam rate-splitting. The method significantly reduces transmission time slots and latency for high-capacity, low-latency FANET communications.
Area of Science:
- Wireless communication networks
- Network resource allocation
- Antenna theory and applications
Background:
- Directional flying ad hoc networks (FANETs) with phased array antennas are crucial for high-capacity, low-latency communication.
- Existing resource allocation methods, like conventional physical-layer multiple access (CPMA) and rate-splitting multiple access (RSMA), have limitations in optimizing directional FANETs due to beam-based scheduling constraints.
- Joint optimization of beam direction, power, and time-slot scheduling under hardware constraints is complex and underexplored in directional FANETs.
Purpose of the Study:
- To introduce an intra-beam rate-splitting-based resource allocation (IBRSRA) framework for directional FANETs.
- To address the challenge of jointly optimizing beam direction, node pairing, power control, modulation and coding scheme (MCS) selection, and time-slot scheduling.
- To minimize the total number of time slots required for data transmission in directional FANETs.
Main Methods:
- Formulation of an optimization problem for joint resource allocation in directional FANETs.
- Development of a two-stage algorithm combining greedy scheduling and successive convex approximation (SCA) to solve the mixed-integer nonlinear programming (MINLP) problem.
- Integration of constrained rate-splitting (CRS) into the intra-beam resource allocation design.
Main Results:
- The proposed IBRSRA algorithm substantially enhances spectral efficiency and reduces communication latency.
- Simulation results show a significant reduction in the number of transmission time slots required.
- For a network with 16 nodes, IBRSRA reduced transmission time slots by over 42% compared to baseline schemes.
Conclusions:
- The IBRSRA framework effectively optimizes resource allocation in directional FANETs.
- Integrating constrained rate-splitting (CRS) offers significant practical benefits for directional FANETs.
- The developed algorithm provides a computationally efficient solution for complex optimization problems in FANETs.
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