DocumentCode
39791
Title
A Framework for Transceiver Designs for Multi-Hop Communications With Covariance Shaping Constraints
Author
Chengwen Xing ; Feifei Gao ; Yiqing Zhou
Author_Institution
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
Volume
63
Issue
15
fYear
2015
fDate
Aug.1, 2015
Firstpage
3930
Lastpage
3945
Abstract
For multiple-input multiple-output (MIMO) transceiver designs, sum power constraint is an elegant and ideal model. When various practical limitations are taken into account e.g., peak power constraints, per-antenna power constraints, etc., covariance shaping constraints will act as an effective and reasonable model. In this paper, we develop a framework for transceiver designs for multi-hop communications under covariance shaping constraints. Particularly, we focus on multi-hop amplify-and-forward (AF) MIMO relaying communications which are recognized as a key enabling technology for device-to-device (D2D) communications for next generation wireless systems such as 5G. The proposed framework includes a broad range of various linear and nonlinear transceiver designs as its special cases. It reveals an interesting fact that the relaying operation in each hop can be understood as a matrix version weighting operation. Furthermore, the nonlinear operations of Tomolision-Harashima Precoding (THP) and Decision Feedback Equalizer (DFE) also belong to the category of this kind of matrix version weighting operation. Furthermore, for both the cases with only pure shaping constraints or joint power constraints, the closed-form optimal solutions have been derived. At the end of this paper, the performance of the various designs is assessed by simulations.
Keywords
5G mobile communication; MIMO communication; amplify and forward communication; antenna arrays; covariance matrices; decision feedback equalisers; next generation networks; radio transceivers; relay networks (telecommunication); 5G; MIMO transceiver designs; Tomolision-Harashima precoding; covariance shaping constraints; decision feedback equalizer; device-to-device communications; joint power constraints; linear transceiver designs; matrix version weighting operation; multihop amplify-and-forward MIMO relaying communications; multiple-input multiple-output transceiver designs; next generation wireless systems; nonlinear transceiver designs; peak power constraints; per-antenna power constraints; pure shaping constraints; relaying operation; sum power constraint; Decision feedback equalizers; Joints; Linear programming; MIMO; Receiving antennas; Relays; Transceivers; Amplify-and-forward MIMO relaying; joint power constraints; shaping constraints;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2015.2425800
Filename
7093182
Link To Document