Affiliation:
1. School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
2. Chongqing Innovation Center, Beijing Institute of Technology, Chongqing 400031, China
Abstract
Due to the advantages such as high flexibility, low cost and easy implementation offered by unmanned aerial vehicles (UAVs), a UAV-assisted network is regard as an appealing solution to a seamless coverage, high disaster-tolerant and on-demand wireless system. In this paper, we focus on the downlink transmission in a cache-enabled UAV-assisted wireless communication network, where UAVs cache popular content from a macro base station in advance and cooperatively transfer the content to users. We aim to minimize the average transmission latency of the system and to formulate an optimization problem that jointly optimizes the UAV location, beamforming and caching strategy. However, the formulated problem is very challenging because of its non-convexity and the highly coupled optimization variables. To solve this resulting problem efficiently, we decompose it into two subproblems, namely UAV location and beamforming optimization, and UAV caching strategy optimization. The first subproblem is an NP-hard joint optimization problem, while the second one is a linear programing problem. By adopting the first-order Taylor expansion, we propose a convex optimization algorithm based on the difference-of-convex (DC) method. Specifically, we bring out a method to apply linear approximation in the DC-based algorithm, which is particularly suitable to the problems involving complicated summations. The numerical results demonstrate that the proposed DC-based iterative optimization algorithm can efficiently reduce the average transmission latency of the system.
Funder
National Natural Science Funds of China
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
Reference28 articles.
1. Cognition in UAV-Aided 5G and Beyond Communications: A Survey;Ullah;IEEE Trans. Cogn. Commun. Netw.,2020
2. Ahmad, I., Kaur, J., Abbas, H.T., Abbasi, Q.H., Zoha, A., Imran, M.A., and Hussain, S. (2022, January 10–15). UAV-assisted 5G Networks for Optimized Coverage under Dynamic Traffic Load. Proceedings of the 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI), Denver, CO, USA.
3. Joint Cache Placement, Flight Trajectory, and Transmission Power Optimization for Multi-UAV Assisted Wireless Networks;Ji;IEEE Trans. Wirel. Commun.,2020
4. 3GPP (2023, August 06). Technical Specification 22.125. Uncrewed Aerial System (UAS) Support in 3GPP; Stage 1. Available online: https://www.3gpp.org/ftp/Specs/archive/22_series/22.125.
5. 3GPP (2023, August 06). Technical Specification 23.256. Support of Uncrewed Aerial Systems (UAS) Connectivity, Identification and Tracking; Stage 2. Available online: https://www.3gpp.org/ftp/Specs/archive/23_series/23.256.
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