TY - GEN
T1 - Energy management scheme for wireless powered D2D users with NOMA underlaying full duplex UAV
AU - Budhiraja, Ishan
AU - Kumar, Neeraj
AU - Tyagi, Sudhanshu
AU - Tanwar, Sudeep
AU - Alazab, Mamoun
AU - Srivastava, Gautam
N1 - Funding Information:
This work was supported by the Department of Corporate and Information Services, NTG of Australia.
Publisher Copyright:
© 2020 Association for Computing Machinery.
PY - 2020/9/25
Y1 - 2020/9/25
N2 - Device-to-Device (D2D) communications underlaying Unmanned aerial vehicle (UAV) with its mobility extend the coverage and improve the data rate. In this paper, we propose an energy management scheme for wireless powered D2D users with NOMA underlaying full-duplex (FD) UAV. Here, the cellular transmitters (CTs) and D2D transmitters (DDTs) first harvest energy from the radio frequency (RF) signals of the UAV. Then, the CT communicates with the cellular receivers (CRs) using the FD-UAV as a relay. On the other hand, DDT communicates with its two D2D receivers (DDRs) using the NOMA. We formulate the problem as a mixed-integer non-linear programming (MINLP) form and then divide it into two sub-problems. In the first sub-problem, an optimal value of time allocation for energy harvesting (EH) for DMG is estimated, whereas, in the second subproblem, the power of DDT in each DMG is optimized using the variable changing technique. Finally, the joint time allocation and power control scheme is proposed to achieve the maximum energy-efficiency (EE). Numerical results demonstrated that the proposed scheme achieves better results as compared to the existing conventional NOMA and orthogonal multiple access (OMA) schemes.
AB - Device-to-Device (D2D) communications underlaying Unmanned aerial vehicle (UAV) with its mobility extend the coverage and improve the data rate. In this paper, we propose an energy management scheme for wireless powered D2D users with NOMA underlaying full-duplex (FD) UAV. Here, the cellular transmitters (CTs) and D2D transmitters (DDTs) first harvest energy from the radio frequency (RF) signals of the UAV. Then, the CT communicates with the cellular receivers (CRs) using the FD-UAV as a relay. On the other hand, DDT communicates with its two D2D receivers (DDRs) using the NOMA. We formulate the problem as a mixed-integer non-linear programming (MINLP) form and then divide it into two sub-problems. In the first sub-problem, an optimal value of time allocation for energy harvesting (EH) for DMG is estimated, whereas, in the second subproblem, the power of DDT in each DMG is optimized using the variable changing technique. Finally, the joint time allocation and power control scheme is proposed to achieve the maximum energy-efficiency (EE). Numerical results demonstrated that the proposed scheme achieves better results as compared to the existing conventional NOMA and orthogonal multiple access (OMA) schemes.
KW - And WPCN
KW - D2D
KW - Energy Efficiency
KW - Full Duplex
KW - NOMA
UR - http://www.scopus.com/inward/record.url?scp=85097141494&partnerID=8YFLogxK
U2 - 10.1145/3414045.3415946
DO - 10.1145/3414045.3415946
M3 - Conference Paper published in Proceedings
AN - SCOPUS:85097141494
T3 - DroneCom 2020 - Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond
SP - 7
EP - 12
BT - DroneCom 2020 - Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond
PB - Association for Computing Machinery, Inc
CY - New York
T2 - 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, DroneCom 2020
Y2 - 25 September 2020 through 25 September 2020
ER -