TY - JOUR
T1 - Sum-Rate Maximization for Multiuser MIMO Wireless Powered Communication Networks
AU - Lee, Hoon
AU - Lee, Kyoung Jae
AU - Kong, Han Bae
AU - Lee, Inkyu
N1 - Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) funded by the Korean Government [Ministry of Science, ICT, and Future Planning (MSIP)] under Grant 2014R1A2A1A10049769. The work of K.-J. Lee was supported by the NRF funded by the MSIP through the Basic Science Research Program under Grant NRF-2013R1A1A1060503.
Publisher Copyright:
© 2016 IEEE.
PY - 2016/11
Y1 - 2016/11
N2 - This paper investigates multiuser multiple-input-multiple-output (MIMO) wireless powered communication networks where a multiantenna hybrid access point (H-AP) transfers wireless energy to multiantenna users in a downlink phase, and the users utilize the harvested energy for their information transmission to the H-AP in an uplink phase. By employing space-division multiple-access techniques, we propose an optimal algorithm that jointly computes the downlink energy precoding matrices, the uplink information precoding matrices, and time allocation between the downlink and the uplink phases for maximizing the uplink sum-rate performance. To this end, we first obtain the optimal energy and information transmit covariance matrices with given time allocation. Then, the optimal time allocation can be efficiently identified by a simple line search method. Simulation results verify that the proposed joint optimal algorithm significantly improves the average sum-rate performance, compared with a conventional scheme that determines time allocation and precoding matrices separately.
AB - This paper investigates multiuser multiple-input-multiple-output (MIMO) wireless powered communication networks where a multiantenna hybrid access point (H-AP) transfers wireless energy to multiantenna users in a downlink phase, and the users utilize the harvested energy for their information transmission to the H-AP in an uplink phase. By employing space-division multiple-access techniques, we propose an optimal algorithm that jointly computes the downlink energy precoding matrices, the uplink information precoding matrices, and time allocation between the downlink and the uplink phases for maximizing the uplink sum-rate performance. To this end, we first obtain the optimal energy and information transmit covariance matrices with given time allocation. Then, the optimal time allocation can be efficiently identified by a simple line search method. Simulation results verify that the proposed joint optimal algorithm significantly improves the average sum-rate performance, compared with a conventional scheme that determines time allocation and precoding matrices separately.
KW - Multiple-input multiple-output (MIMO) systems
KW - wireless energy transfer (WET)
KW - wireless powered communication networks (WPCNs)
UR - http://www.scopus.com/inward/record.url?scp=85012159797&partnerID=8YFLogxK
U2 - 10.1109/TVT.2016.2515607
DO - 10.1109/TVT.2016.2515607
M3 - Article
AN - SCOPUS:85012159797
VL - 65
SP - 9420
EP - 9424
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
SN - 0018-9545
IS - 11
M1 - 7374746
ER -