Energy-Efficient UAV Relaying Robust Resource Allocation in Uncertain Adversarial Networks

Abstract

The mobile relaying technique is a critical enhancing technology in wireless communications due to a higher chance of supporting the remote user from the base station (BS) with better service quality. This paper investigates energy-efficient (EE) mobile relaying networks mounted on the unmanned aerial vehicle (UAV) while the unknown adversaries try to intercept the legitimate link. We aim to optimize robust transmit power, both UAV and BS along, with relay hovering path, speed, and acceleration. The BS sends legitimate information, which is forwarded to the user by the relay. This procedure is defined as informationcausality-constraint (ICC). We jointly optimize the worst-case secrecy rate (WCSR) and UAV propulsion energy consumption (PEC) for a finite time horizon. We construct the BS-UAV, the UAV-user, and the UAV-adversary channel models. We apply the UAV PEC considering UAV speed and acceleration. We derive EE UAV relay-user maximization problem in the adversarial wireless networks at last. While the problem is non-convex, we propose an iterative and sub-optimal algorithm to optimize EE UAV relay with constraints, such as ICC, trajectory, speed, acceleration, and transmit power. First, we optimize both BS and UAV transmit power and hovering speed for known UAV path planning and acceleration. Using the optimal transmit power and speed, we obtain the optimal trajectory and acceleration. We compare our algorithm with existing algorithms and demonstrate the improved EE UAV relaying communication for our model. INDEX TERMS Energy-efficiency (EE), information-causality-constraint (ICC), propulsion energy consumption (PEC), worst case secrecy rate (WCSR).

Maximizing the Secrecy Energy Efficiency of the Cooperative Rate-Splitting Aided Downlink in Multi-Carrier UAV Networks

“…4 Proposed Max-Min problem formulation: Maximizing the worst-case SEE by the RSprecoder, power allocated to each sub-channel, timesharing parameter between relaying phases, relaying and jamming power allocation of second phase, and user association as shown in (23).…”

“…Notably, both the performance and the design of the aforementioned PLS schemes significantly depends on the accuracy of the knowledge about the Eve's channel state information at the transmitter (E-CSIT) [9], [18], [19]. Recently, thanks to the high mobility, on-demand coverage, and to the availability of the line-of-sight (LoS) link, unmanned aerial vehicle (UAV) aided communications have attracted significant research interests [15], [19]- [23]. In particular, with the aim of mitigating the traffic load imposed on the terrestrial BS, UAVs can be harnessed as aerial-BSs [20].…”

“…In particular, with the aim of mitigating the traffic load imposed on the terrestrial BS, UAVs can be harnessed as aerial-BSs [20]. Furthermore, the PLS can be readily improved by UAVs upon detecting the Eve's location via the UAV-mounted cameras or radar [15] 23 . Explicitly, only imperfect E-CSIT may be 1 To implement the above-mentioned PLS techniques several solutions have been proposed in the literature [11], [12], [13].…”

“…The most grave challenge arises from the limited energy supply of UAVs [15], [20]. Some of the associated challenges have been addressed by the energy efficient and robust PLS solutions designed for UAV-enabled scenarios in [15], [20], [23].…”

A Survey of Wireless Networks for Future Aerial COMmunications (FACOM)

“…Number of studied recently considered UAVs to assist energy-efficient wireless communications. Such instances include different resource allocation frameworks to optimize the power consumption of ground UEs [520], [521], the power consumption of BS and UAV [522] as well as the power consumption of the overall system [523]. Energy-efficient communication is a significant topic especially for eVTOLs considering their limited energy in the air.…”