TY - JOUR
T1 - Optimal transmit power and flying location for UAV covert wireless communications
AU - Yan, Shihao
AU - Hanly, Stephen V.
AU - Collings, Iain B.
PY - 2021/11
Y1 - 2021/11
N2 - This paper jointly optimizes the flying location and wireless communication transmit power for an unmanned aerial vehicle (UAV) conducting covert operations. This is motivated by application scenarios such as military ground surveillance from airborne platforms, where it is vital for a UAV’s signal transmission to be undetectable by those within the surveillance region. Specifically, we maximize the communication quality to a legitimate receiver, who is also a ground-user but outside the surveillance region, under specific constraints on communication covertness, maximum transmit power, and the UAV’s physical location related to the required surveillance quality. We provide an explicit solution to the optimization problem for one of the most practical constraint combinations. For other constraint combinations, we determine feasible regions for flight, that can then be searched to establish the UAV’s optimal location. In many cases, the 2-dimensional optimal location is achieved by a 1-dimensional search. We discuss two heuristic approaches to UAV placement, and show that in some cases they are able to achieve close to optimal, but that in other cases significant gains can be achieved by employing our developed solutions.
AB - This paper jointly optimizes the flying location and wireless communication transmit power for an unmanned aerial vehicle (UAV) conducting covert operations. This is motivated by application scenarios such as military ground surveillance from airborne platforms, where it is vital for a UAV’s signal transmission to be undetectable by those within the surveillance region. Specifically, we maximize the communication quality to a legitimate receiver, who is also a ground-user but outside the surveillance region, under specific constraints on communication covertness, maximum transmit power, and the UAV’s physical location related to the required surveillance quality. We provide an explicit solution to the optimization problem for one of the most practical constraint combinations. For other constraint combinations, we determine feasible regions for flight, that can then be searched to establish the UAV’s optimal location. In many cases, the 2-dimensional optimal location is achieved by a 1-dimensional search. We discuss two heuristic approaches to UAV placement, and show that in some cases they are able to achieve close to optimal, but that in other cases significant gains can be achieved by employing our developed solutions.
UR - http://www.scopus.com/inward/record.url?scp=85112145808&partnerID=8YFLogxK
UR - http://purl.org/au-research/grants/arc/DP200101627
U2 - 10.1109/JSAC.2021.3088667
DO - 10.1109/JSAC.2021.3088667
M3 - Article
AN - SCOPUS:85112145808
SN - 0733-8716
VL - 39
SP - 3321
EP - 3333
JO - IEEE Journal on Selected Areas in Communications
JF - IEEE Journal on Selected Areas in Communications
IS - 11
ER -