Authors:
Mingzhi Xu
;
Kuan Wu
;
Jianchao Chen
;
Xiaojing Huang
and
Ming Jiang
Affiliation:
School of Electronics and Information Technology (School of Microelectronics), Sun Yat-sen University, Guangzhou, China
Keyword(s):
UAV-to-UAV Communication, UAV Swarm Communication, Relative Position Optimization (RPO), Successive Convex Approximation (SCA), Energy Efficiency (EE).
Abstract:
Unmanned aerial vehicle (UAV) technologies have played an important role in the beyond-fifth-generation
(B5G) networks. To meet the increasing demand for UAV swarm communications, in this paper we propose
an intra-swarm UAV-to-UAV (IaS-U2U) communication mechanism for enabling data services in the so-called
out-of-coverage (OOC) scenario, where the conventional terrestrial cellular network infrastructure is not available, for example in the cases of mountains, oceans, deserts and forests. Specifically, an optimization problem
is formulated by jointly considering the single-pair transmission rate (STR) and the propulsion power (PP),
where the UAVs’ pairing and relative positioning are taken into account. To solve the complicated joint optimization problem, we decompose it into the UAV pairing process and the relative position optimization (RPO)
process, where in the latter a successive convex approximation (SCA) based RPO algorithm is proposed. Simulation results show that the n
ew scheme can provide notable gains in terms of energy efficiency (EE) over
selected benchmark methods under different conditions.
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