TY - JOUR
T1 - Maximization of Minimum Rate for Wireless Powered Communication Networks in Interference Channel
AU - Kim, Hanjin
AU - Lee, Hoon
AU - Jang, Seokju
AU - Moon, Jihwan
AU - Lee, Inkyu
N1 - Funding Information:
Manuscript received March 24, 2018; revised April 30, 2018; accepted May 3, 2018. Date of publication May 15, 2018; date of current version August 10, 2018. This work was supported by the National Research Foundation through the Ministry of Science, ICT, and Future Planning (MSIP), Korean Government under Grant 2017R1A2B3012316. The associate editor coordinating the review of this letter and approving it for publication was M. Maso. (Corresponding author: Inkyu Lee.) The authors are with the School of Electrical Engineering, Korea University, Seoul 136-701, South Korea (e-mail: hanjin8612@korea.ac.kr; hoon_lee@sutd.edu.sg; seokju@korea.ac.kr; anschino@korea.ac.kr; inkyu@ korea.ac.kr). Digital Object Identifier 10.1109/LCOMM.2018.2836420
Publisher Copyright:
© 1997-2012 IEEE.
PY - 2018/8
Y1 - 2018/8
N2 - We investigate wireless powered communication networks in an interference channel. In this system, due to asymmetric time allocation of the downlink and the uplink among multiple cells, cross-link interference may occur, which significantly affects overall performance. Considering this interference issue, we study a minimum rate maximization problem to overcome a severe imbalance on a rate distribution among users. The minimum rate maximization problem is non-convex; thus we propose an algorithm that updates the time allocation and the users' transmit power based on the Lagrangian duality method and the Perron-Frobenius theorem, respectively. Simulation results verify that the proposed methods outperform conventional schemes.
AB - We investigate wireless powered communication networks in an interference channel. In this system, due to asymmetric time allocation of the downlink and the uplink among multiple cells, cross-link interference may occur, which significantly affects overall performance. Considering this interference issue, we study a minimum rate maximization problem to overcome a severe imbalance on a rate distribution among users. The minimum rate maximization problem is non-convex; thus we propose an algorithm that updates the time allocation and the users' transmit power based on the Lagrangian duality method and the Perron-Frobenius theorem, respectively. Simulation results verify that the proposed methods outperform conventional schemes.
KW - Wireless powered communication network (WPCN)
KW - interference channel
UR - http://www.scopus.com/inward/record.url?scp=85047014461&partnerID=8YFLogxK
U2 - 10.1109/LCOMM.2018.2836420
DO - 10.1109/LCOMM.2018.2836420
M3 - Article
AN - SCOPUS:85047014461
SN - 1089-7798
VL - 22
SP - 1648
EP - 1651
JO - IEEE Communications Letters
JF - IEEE Communications Letters
IS - 8
M1 - 8359018
ER -