TY - JOUR
T1 - On the Downlink Performance of RSMA-Based UAV Communications
AU - Jaafar, Wael
AU - Naser, Shimaa
AU - Muhaidat, Sami
AU - Sofotasios, Paschalis C.
AU - Yanikomeroglu, Halim
N1 - Funding Information:
Manuscript received May 25, 2020; revised September 11, 2020; accepted November 8, 2020. Date of publication November 16, 2020; date of current version January 22, 2021. This work was supported in part by the Natural Sciences and Engineering Research Council Canada (NSERC) and in part by Khalifa University under Grant Nos. KU/RC1-C2PS-T2/8474000137 and KU/FSU-474000122. The review of this article was coordinated by Dr. T. D. Niyato. (Corresponding author: Wael Jaafar.) Wael Jaafar and Halim Yanikomeroglu are with the Department of Systems and Computer Engineering, Carleton University, Ottawa, ON K1S 5B6, Canada (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 1967-2012 IEEE.
PY - 2020/12
Y1 - 2020/12
N2 - The use of unmanned aerial vehicles (UAVs) as base stations (BSs) is envisaged as a key enabler for the fifth generation (5G) and beyond-5G networks. Specifically, aerial base stations (UAV-BS) are expected to provide ubiquitous connectivity and high spectral efficiency. To this end, we present in this correspondence an in-depth look into the integration of rate-splitting multiple access (RSMA) with UAV-BSs and downlink transmissions. A non-convex problem of joint UAV placement, RSMA precoding, and rate splitting, aiming to maximize the weighted sum data rate of users is formulated. Due to its complexity, two sub-problems are investigated, namely the UAV placement and RSMA parameters optimization. The resulting solutions are then combined to propose a novel alternating optimization method. Simulation results illustrate the latter's efficiency compared to baseline approaches.
AB - The use of unmanned aerial vehicles (UAVs) as base stations (BSs) is envisaged as a key enabler for the fifth generation (5G) and beyond-5G networks. Specifically, aerial base stations (UAV-BS) are expected to provide ubiquitous connectivity and high spectral efficiency. To this end, we present in this correspondence an in-depth look into the integration of rate-splitting multiple access (RSMA) with UAV-BSs and downlink transmissions. A non-convex problem of joint UAV placement, RSMA precoding, and rate splitting, aiming to maximize the weighted sum data rate of users is formulated. Due to its complexity, two sub-problems are investigated, namely the UAV placement and RSMA parameters optimization. The resulting solutions are then combined to propose a novel alternating optimization method. Simulation results illustrate the latter's efficiency compared to baseline approaches.
KW - MIMO
KW - rate-splitting multiple access
KW - RSMA
KW - unmanned aerial vehicle
UR - http://www.scopus.com/inward/record.url?scp=85100550493&partnerID=8YFLogxK
U2 - 10.1109/TVT.2020.3037657
DO - 10.1109/TVT.2020.3037657
M3 - Article
AN - SCOPUS:85100550493
SN - 0018-9545
VL - 69
SP - 16258
EP - 16263
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 12
M1 - 9258414
ER -