Joint Optimisation of Real-Time Deployment and Resource Allocation for UAV-Aided Disaster Emergency Communications

Abstract

In this work, we consider a joint optimisation of real-time deployment and resource allocation scheme for UAVaided relay systems in emergency scenarios such as disaster relief and public safety missions. In particular, to recover the network within a disaster area, we propose a fast K-meansbased user clustering model and jointly optimal power and time transferring allocation which can be applied in the real system by using UAVs as flying base stations for real-time recovering and maintaining network connectivity during and after disasters. Under the stringent QoS constraints, we then provide centralised and distributed models to maximise the energy efficiency of the considered network. Numerical results are provided to illustrate the effectiveness of the proposed computational approaches in terms of network energy efficiency and execution time for solving the resource allocation problem in real-time scenarios. We demonstrate that our proposed algorithm outperforms other benchmark schemes.

Post-Disaster Communications: Enabling Technologies, Architectures, and Open Challenges

“…In this way, the developed framework allows to effectively optimize coverage under the transmit power constraint. Similarly, the authors in [45] proposed another optimization-based work for UAV-aided disaster communications (i.e., a macro BS supported by UAVs serving hard-to-reach clusters of users) and validated their framework for ensuring high energy efficiency by jointly optimizing UAVs' deployment and resource allocation. Then, works such as [46] proposed a unified framework that considers UAVs' trajectory, scheduling, transceiver design optimization in case of emergency.…”

“…Cluster localization, UAV path planning [48] Swift communication recovery, time-weighted coverage [49] Rate, coverage, D2D [50] 2021 WiFi balloons, social network [60] Deployment, resource allocation [45] Topological aspects, capacity, types of fleets [41] Using space networks 2013 LTE-satellite and radio interface [63] Satellite-gateway links and WINDS [64] SDR-VSAT systems and coverage [68] 2019…”

“…Since the power infrastructure is also susceptible to calamities, highly energy efficient systems are extremely important in emergency circumstances [36], [44], [45], [120]- [130]. For example, Reference [120] proposes a disaster-time system that makes use of a message ferry method to collect and exchange information while improving DTNs' energy efficiency; in particular, the authors introduced a method that allows to relay the messages of mobile terminals with low battery level to the terminals with higher battery level, avoiding the former to fully discharge.…”

Employing an Energy Harvesting Strategy to Enhance the Performance of a Wireless Emergency Network

“…An integrated strategy for optimal energy harvesting between functional and dysfunctional areas (UAV, CH, and D2D communications) was used. In reference [21,22], UAVs having multiple antennas function as relay nodes to transfer power and transmit information to the UEs located outside the network coverage area. D2D communication within the cluster utilizes an unlicensed spectrum to enhance the system spectrum efficiency for communication between CH and CMs [23].…”

UAV-Based Intelligent Transportation System for Emergency Reporting in Coverage Holes of Wireless Networks

“…In [4], the authors considered a joint optimization for resource allocation and UAV deployment in emergency scenarios. They proposed a scheme for recovering and maintaining the network connectivity in disasters.…”