Paper Info
Title
Joint trajectory and transmission optimization for energy efficient UAV enabled eLAA network
Abstract
Unmanned aerial vehicle (UAV) as a carrier of small cell base station (SBS) becomes a promising solution to reduce infrastructure deployment cost. At the same time, Licensed-assisted Access (LAA) is proposed by 3GPP to apply the Long Term Evolution (LTE) technology into the unlicensed spectrum to expand the available bandwidth. To enhance and supplement the next generation 5G wireless network, this paper integrates LAA technology into UAV network to provide communication service for high-density mobile users. An enhanced LAA (eLAA) network is adopted to coordinate unlicensed band for LTE and WiFi by leveraging IEEE 802.11e protocol. The limited on-board energy is the main challenge for UAV to support mobility and communication. Under the UAV enabled eLAA network, we propose a joint trajectory design and transmission optimization algorithm to maximize the energy efficiency (EE) of the UAV. Firstly, for single UAV network, the formulated nonlinear fractional problem is solved by block coordinate descent (BCD) method and Dinkelbach-type algorithm. Our algorithm is proved to converge to a stationary point of the original nonconvex problem. Then, the proposed algorithm is extended to multi-UAV network through the sum-of-ratios algorithm. Numerical results demonstrate that the EE performance is significantly improved by UAV mobility. Based on the optimal trajectories, frequency reuse among multiple UAVs can further improve the EE performance.
Year
DOI
Venue
2021
10.1016/j.adhoc.2021.102466
Ad Hoc Networks
Keywords
DocType
Volume
UAV communications,LAA,Energy efficiency,Trajectory optimization
Journal
116
ISSN
Citations 
PageRank 
1570-8705
2
0.37
References 
Authors
0
5
Name
Order
Citations
PageRank
Chan Xu142.13
Deshi Li232526.11
Qimei Chen3142.95
Mingliu Liu442.75
Kaitao Meng552.45