Abstract
In this correspondence, we propose an efficient hybrid beamforming algorithm for multipair two-way relaying systems with a large number of antenna elements. We first investigate an asymptotic behavior of the fully digital (FD) case where the number of radio frequency (RF) chains equals that of antenna elements. Our analysis reveals that the optimal RF filters can be determined by the array response vectors in the asymptotic region without consideration of the baseband (BB) filters. From this observation, we provide a new RF filter design based on the Gram-Schmidt process. Also, in order to manage interpair interference, we design BB filters based on the weighted sum minimum mean square error for given RF filters. Our simulation results demonstrate that as the number of antenna elements grows, our method achieves the optimal FD performance with much reduced computational complexity.
Original language | English |
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Article number | 8360071 |
Pages (from-to) | 7841-7845 |
Number of pages | 5 |
Journal | IEEE Transactions on Vehicular Technology |
Volume | 67 |
Issue number | 8 |
DOIs | |
Publication status | Published - 2018 Aug |
Bibliographical note
Funding Information:Manuscript received November 18, 2017; revised February 28, 2018 and May 1, 2018; accepted May 12, 2018. Date of publication May 16, 2018; date of current version August 13, 2018. This work was supported by the Future Combat System Network Technology Research Center Program of Defense Acquisition Program Administration and Agency for Defense Development under Grant UD160070BD. The review of this paper was coordinated by Prof. H.-F. Lu. (Corresponding author: Inkyu Lee.) T. Oh, J. Kim, S. Jang, and I. Lee are with the School of Electrical Engineering, Korea University, Seoul 136-713, South Korea (e-mail:, [email protected]; [email protected]; [email protected]; [email protected]).
Publisher Copyright:
© 1967-2012 IEEE.
Keywords
- Asymptotic analysis
- hybrid beamforming
- millimeter wave communications
- two-way relaying
ASJC Scopus subject areas
- Automotive Engineering
- Aerospace Engineering
- Electrical and Electronic Engineering
- Applied Mathematics