TY - GEN
T1 - PSO based UAV Localization for Interference Coordination in Cellular Network
AU - Jindal, Akshita
AU - Kumar, Manish
AU - Jindal, Abhishek
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - Due to wide spread usage of smart phones, there is a rapid increase in the demand for high data rate services from users in a cellular network. With users undergoing multipath fading and shadowing, and base stations facing transmit power constraints, several users may face outage. In this paper, we deploy an unmanned aerial vehicle (UAV) as a decode-and-forward (DF) relay in a cellular system, which helps base stations (BSs) in providing desired rates to the users. Due to the channel reuse policy in a cellular network, the UAV while forwarding the information to a user, may interfere with other users of the same channel, leading to inter-cell interference (ICI). Considering the number of user equipments (UEs) in outage (UEiO) as the objective, we propose a particle swarm optimization (PSO) based solution to find the best location of the UAV which minimizes UEiO and keeps a check on ICI. For comparison, we evaluate the UEiO when the location of UAV is fixed and not optimized. Our simulation results demonstrate promising decrease in UEiO.
AB - Due to wide spread usage of smart phones, there is a rapid increase in the demand for high data rate services from users in a cellular network. With users undergoing multipath fading and shadowing, and base stations facing transmit power constraints, several users may face outage. In this paper, we deploy an unmanned aerial vehicle (UAV) as a decode-and-forward (DF) relay in a cellular system, which helps base stations (BSs) in providing desired rates to the users. Due to the channel reuse policy in a cellular network, the UAV while forwarding the information to a user, may interfere with other users of the same channel, leading to inter-cell interference (ICI). Considering the number of user equipments (UEs) in outage (UEiO) as the objective, we propose a particle swarm optimization (PSO) based solution to find the best location of the UAV which minimizes UEiO and keeps a check on ICI. For comparison, we evaluate the UEiO when the location of UAV is fixed and not optimized. Our simulation results demonstrate promising decrease in UEiO.
KW - Cellular network
KW - Particle Swarm Optimization (PSO)
KW - UAV
KW - decode-and-forward relay
UR - https://www.scopus.com/pages/publications/85189647356
U2 - 10.1109/ANTS59832.2023.10469667
DO - 10.1109/ANTS59832.2023.10469667
M3 - Conference contribution
AN - SCOPUS:85189647356
T3 - International Symposium on Advanced Networks and Telecommunication Systems, ANTS
BT - 2023 IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2023
PB - Institute of Electrical and Electronics Engineers
T2 - 17th IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2023
Y2 - 17 December 2023 through 20 December 2023
ER -