We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Joint Resource Allocation of UAV Aided Communication System Based on Multi-coding Artificial Bee Colony Algorithm.
- Authors
Hao, Weibo; Ye, Fang; Sun, Qian
- Abstract
With the advantages of flexible deployment and configuration, fast response, and strong environmental adaptability, UAV-aided communication has significant applications in temporary hotspot areas, edge areas, and emergency communication scenarios. In comparison to traditional wired backhaul links from ground base stations, this paper considers a UAV-aided communication system that utilizes in-band backhaul technology to maximize the minimum reachable rate of ground users by jointly optimizing the hovering position, bandwidth allocation, transmit power, and user association of UAVs. To tackle this problem, a multi-coding artificial bee colony algorithm is proposed in this study to address the joint optimization problem, thereby expanding the dimensionality of the search conducted in the solution space. Simulation results demonstrate that the proposed multivariate coded artificial bee colony algorithm achieves substantial rate gains and improves the minimum reachable rate of ground users in UAV-aided communication systems within a limited number of iterations, as compared to the BCD (BCD) method.
- Subjects
BEES algorithm; TELECOMMUNICATION systems; RESOURCE allocation; BANDWIDTH allocation; EARTH stations
- Publication
Wireless Personal Communications, 2024, Vol 134, Issue 3, p1737
- ISSN
0929-6212
- Publication type
Article
- DOI
10.1007/s11277-024-11011-8