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Soft-Centralized Spectrum Resource Management in UAV-Assisted MANETs from Aggregate Multi-Hop Information Efficiency
Tianyi Zhang1,2, Yang Zheng1,2
1The College of Communication Engineering, Xidian University, Xi'an 710071, China.
Sensors (Basel, Switzerland)
|March 14, 2026
Summary
This study introduces Aggregate Multi-hop Information Efficiency (AMIE) for UAV-Assisted Mobile Ad Hoc Networks (UAMANETs). A new resource management framework significantly improves network capacity and communication reliability in these dynamic environments.
Area of Science:
- Wireless communication networks
- Ad hoc networking
- Aerial communication systems
Background:
- UAV-Assisted Mobile Ad Hoc Networks (UAMANETs) offer crucial communication in environments lacking infrastructure.
- These networks face challenges in capacity due to medium access contention and multi-hop routing.
Purpose of the Study:
- To introduce a novel metric, Aggregate Multi-hop Information Efficiency (AMIE), for characterizing UAMANET capacity.
- To develop a resource management framework for optimizing AMIE in UAMANETs.
Main Methods:
- Extended Bianchi's CSMA/CA analytical framework to UAMANETs using an IEEE 802.11p model.
- Developed a soft centralized resource management framework utilizing an MSF-PSO algorithm.
- Analyzed the impact of spectrum resource allocation on AMIE via link activation, interruption, and hop count.
Main Results:
- Quantitatively characterized the relationship between spectrum allocation and AMIE.
- Demonstrated substantial AMIE improvements compared to conventional IEEE 802.11p settings.
- Validated the effectiveness of the proposed resource management framework.
Conclusions:
- The proposed AMIE metric effectively captures UAMANET capacity under realistic conditions.
- The developed resource management framework enhances communication efficiency in UAMANETs.
- Optimized spectrum resource allocation is critical for improving performance in UAV-assisted networks.
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