Abstract
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.
| Original language | English |
|---|---|
| Article number | 7374746 |
| Pages (from-to) | 9420-9424 |
| Number of pages | 5 |
| Journal | IEEE Transactions on Vehicular Technology |
| Volume | 65 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published - 2016 Nov 1 |
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Keywords
- Multiple-input multiple-output (MIMO) systems
- wireless energy transfer (WET)
- wireless powered communication networks (WPCNs)
ASJC Scopus subject areas
- Automotive Engineering
- Aerospace Engineering
- Computer Networks and Communications
- Applied Mathematics
- Electrical and Electronic Engineering
Cite this
Sum-Rate Maximization for Multiuser MIMO Wireless Powered Communication Networks. / Lee, Hoon; Lee, Kyoung Jae; Kong, Han Bae; Lee, Inkyu.
In: IEEE Transactions on Vehicular Technology, Vol. 65, No. 11, 7374746, 01.11.2016, p. 9420-9424.Research output: Contribution to journal › Article
}
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
PY - 2016/11/1
Y1 - 2016/11/1
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
UR - http://www.scopus.com/inward/citedby.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 -