Joint Wireless Information and Energy Transfer With Reduced Feedback in MIMO Interference Channels
- Authors
- Park, Jaehyun; Clerckx, Bruno
- Issue Date
- 8월-2015
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Joint wireless information and energy transfer; MIMO interference channel; geodesic beamforming; limited feedback
- Citation
- IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, v.33, no.8, pp.1563 - 1577
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
- Volume
- 33
- Number
- 8
- Start Page
- 1563
- End Page
- 1577
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/92883
- DOI
- 10.1109/JSAC.2015.2391684
- ISSN
- 0733-8716
- Abstract
- To determine the transmission strategy for the joint wireless information and energy transfer (JWIET) in the MIMO interference channel (IFC), the information access point (IAP) and energy access point (EAP) require the channel state information (CSI) of their associated links to both the information-decoding (ID) mobile stations (MSs) and energy-harvesting (EH) MSs (so-called local CSI). In this paper, to reduce the feedback overhead of MSs for the JWIET in two-user MIMO IFC, we propose a Geodesic energy beamforming scheme that requires partial CSI at the EAP. Furthermore, in the two-user MIMO IFC, it is proved that the Geodesic energy beamforming is the optimal noncooperative strategy under local CSIT assumption. By adding a rank-one constraint on the transmit signal covariance of IAP, we can further reduce the feedback overhead to IAP by exploiting Geodesic information beamforming. Under the rank-one constraint of IAP's transmit signal, we prove that Geodesic information/energy beamforming approach is the optimal noncooperative strategy for JWIET in the two-user MIMO IFC. We also discuss the extension of the proposed rank-one Geodesic information/energy beamforming strategies to general K-user MIMO IFC. Finally, by analyzing the achievable rate-energy performance statistically under imperfect partial CSIT, we propose an adaptive bit allocation strategy for both EH MS and ID MS.
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