6533b861fe1ef96bd12c4e6e

RESEARCH PRODUCT

Joint Resource Allocation and UAV Scheduling With Ground Radio Station Sleeping

Abhinav KumarLinga Reddy CenkeramaddiAkhileswar ChowdaryYoghitha Ramamoorthi

subject

General Computer Scienceground control station (GCS)Computer sciencebusiness.industryground radio station sleeping (GRSS)Real-time computingGeneral EngineeringComputerApplications_COMPUTERSINOTHERSYSTEMSGround control stationThroughputEnergy consumptionnon-orthogonal multiple access (NOMA)TK1-9971Scheduling (computing)VDP::Teknologi: 500unmanned aerial vehicle (UAV)Coordinated multi-point (CoMP)Resource allocationGeneral Materials ScienceResource managementElectrical engineering. Electronics. Nuclear engineeringbusinessRadio broadcastingEfficient energy use

description

Applications of Unmanned aerial vehicles (UAVs) have advanced rapidly in recent years. The UAVs are used for a variety of applications, including surveillance, disaster management, precision agriculture, weather forecasting, etc. In near future, the growing number of UAV applications would necessitate densification of UAV infrastructure (ground radio station (GRS) and ground control station (GCS)) at the expense of increased energy consumption for UAV communications. Maximizing the energy efficiency of this UAV infrastructure is important. Motivated by this, we propose joint resource allocation and UAV scheduling with GRS sleeping (GRSS). Further, we propose the use of coordinated multi-point (CoMP) with joint transmission (JT) and non-orthogonal multiple access (NOMA) along with GRSS to increase the coverage and data rates, respectively. Through exhaustive simulation results, we show that the proposed CoMP along with GRSS results in up to 10% higher energy savings and 24% increase in coverage. Further, NOMA along with GRSS results in up to 9% enhancement in throughput of the system.

yearjournalcountryeditionlanguage
2021-01-01IEEE Access
https://doi.org/10.1109/access.2021.3111087