TY - JOUR
T1 - Uplink Precoding Optimization for NOMA Cellular-Connected UAV Networks
AU - Pang, Xiaowei
AU - Gui, Guan
AU - Zhao, Nan
AU - Zhang, Weile
AU - Chen, Yunfei
AU - Ding, Zhiguo
AU - Adachi, Fumiyuki
N1 - Funding Information:
The work of N. Zhao was supported by the National Natural Science Foundation of China (NSFC) under Grant 61871065, the open research fund of State Key Laboratory of Integrated Services Networks under Grant ISN19-02. The work of Z. Ding was supported by the UK EPSRC under Grant number EP/P009719/2 and by H2020-MSCARISE- 2015 under Grant number 690750. This article was presented in part at the IEEE PIMRC 2019. The associate editor coordinating the review of this article and approving it for publication was F. Verde.
Funding Information:
Manuscript received April 22, 2019; revised August 16, 2019 and October 28, 2019; accepted November 12, 2019. Date of publication November 19, 2019; date of current version February 14, 2020. The work of N. Zhao was supported by the National Natural Science Foundation of China (NSFC) under Grant 61871065, the open research fund of State Key Laboratory of Integrated Services Networks under Grant ISN19-02. The work of Z. Ding was supported by the UK EPSRC under Grant number EP/P009719/2 and by H2020-MSCA-RISE-2015 under Grant number 690750. This article was presented in part at the IEEE PIMRC 2019. The associate editor coordinating the review of this article and approving it for publication was F. Verde. (Corresponding author: Nan Zhao.) X. Pang and N. Zhao are with the School of Information and Communication Engineering, Dalian University of Technology, Dalian 116024, China, and also with the State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an 710071, China (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 2019 IEEE.
PY - 2020/2
Y1 - 2020/2
N2 - Unmanned aerial vehicles (UAVs) are playing an important role in wireless networks, due to their cost effectiveness and flexible deployment. Particularly, integrating UAVs into existing cellular networks has great potential to provide high-rate and ultra-reliable communications. In this paper, we investigate the uplink transmission in a cellular network from a UAV using non-orthogonal multiple access (NOMA) and from ground users to base stations (BSs). Specifically, we aim to maximize the sum rate of uplink from UAV to BSs in a specific band as well as from the UAV's co-channel users to their associated BSs via optimizing the precoding vectors at the multi-antenna UAV. To mitigate the interference, we apply successive interference cancellation (SIC) not only to the UAV-connected BSs, but also to the BSs associated with ground users in the same band. The precoding optimization problem with constraints on the SIC decoding and the transmission rate requirements is formulated, which is non-convex. Thus, we introduce auxiliary variables and apply approximations based on the first-order Taylor expansion to convert it into a second-order cone programming. Accordingly, an iterative algorithm is designed to obtain the solution to the problem with low complexity. Numerical results are presented to demonstrate the effectiveness of our proposed scheme.
AB - Unmanned aerial vehicles (UAVs) are playing an important role in wireless networks, due to their cost effectiveness and flexible deployment. Particularly, integrating UAVs into existing cellular networks has great potential to provide high-rate and ultra-reliable communications. In this paper, we investigate the uplink transmission in a cellular network from a UAV using non-orthogonal multiple access (NOMA) and from ground users to base stations (BSs). Specifically, we aim to maximize the sum rate of uplink from UAV to BSs in a specific band as well as from the UAV's co-channel users to their associated BSs via optimizing the precoding vectors at the multi-antenna UAV. To mitigate the interference, we apply successive interference cancellation (SIC) not only to the UAV-connected BSs, but also to the BSs associated with ground users in the same band. The precoding optimization problem with constraints on the SIC decoding and the transmission rate requirements is formulated, which is non-convex. Thus, we introduce auxiliary variables and apply approximations based on the first-order Taylor expansion to convert it into a second-order cone programming. Accordingly, an iterative algorithm is designed to obtain the solution to the problem with low complexity. Numerical results are presented to demonstrate the effectiveness of our proposed scheme.
KW - Non-orthogonal multiple access
KW - precoding optimization
KW - successive interference cancellation
KW - unmanned aerial vehicle
UR - http://www.scopus.com/inward/record.url?scp=85079819026&partnerID=8YFLogxK
U2 - 10.1109/TCOMM.2019.2954136
DO - 10.1109/TCOMM.2019.2954136
M3 - Article
AN - SCOPUS:85079819026
SN - 0090-6778
VL - 68
SP - 1271
EP - 1283
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
IS - 2
M1 - 8906143
ER -