Non-Iterative Symbol-Wise Beamforming for MIMO-OFDM Systems
- Authors
- Lee, Hyun-Ho; Ko, Young-Chai
- Issue Date
- 10월-2012
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- MIMO-OFDM; symbol-wise beamforming; imperfect channel knowledge; limited feedback; robust transceiver
- Citation
- IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, v.11, no.10, pp.3788 - 3798
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- Volume
- 11
- Number
- 10
- Start Page
- 3788
- End Page
- 3798
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/107284
- DOI
- 10.1109/TWC.2012.081612.120406
- ISSN
- 1536-1276
- Abstract
- In this paper, we propose a non-iterative symbolwise beamforming scheme for MIMO-OFDM systems, which can provide the performance approaching that of the iterative symbol-wise beamforming scheme and can reduce the computational complexity significantly for channels with a small number of strong channel taps. Simulation results show that our proposed scheme leads to a negligible performance loss compared with the iterative symbol-wise beamforming scheme regardless of spatial correlation or presence of co-channel interference. For realistic situations, we also consider the system designs to manage imperfect channel knowledge at the transmitter or receiver. First, we propose a limited feedback technique and a codebook design algorithm for symbol-wise beamforming in a spatially correlated frequency selective channel. Simulation results show that the proposed limited feedback technique can provide insignificant outage capacity loss compared with the symbol-wise beamforming scheme with perfect channel knowledge when the proposed codebook is adopted with a moderate number of feedback bits. Second, we propose a robust transceiver optimization for symbol-wise beamforming under channel uncertainty. From simulation results, we confirm that our proposed robust transceiver optimization can incur less degradation than the iterative and proposed symbol-wise beamforming schemes under the assumption of a bounded channel uncertainty model.
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