Reduction of the Amount of Channel State Information Feedback in MIMO-OFDM Eigenbeam-Space Division Multiplexing Systems

Ohwatari, Yusuke; Phu, Bui Huu; Ogawa, Yasutaka; Nishimura, Toshihiko; Ohgane, Takeo

doi:10.1109/vtcf.2006.92

Cited by 9 publications

(4 citation statements)

References 7 publications

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“…4. The receiver can estimate the effective channel of the desired substream in the frequency domain by linearly combining the N LP symbols after the correspondent code multiplication [20].…”

Section: Frequency Domain Estimation Of Effective Channelmentioning

confidence: 99%

“…It was assumed that the transmitter had perfect CSI by feedback through an error-free channel in a frequency division duplex system [20], [28], [30] or by channel estimation at the transmitter in a time division duplex system [15], [31]. On the other hand, it was assumed that only the number of substreams and modulation schemes were known at the receiver except the "perfect CSI case" where the CSI is also known.…”

Section: Simulation Conditionsmentioning

confidence: 99%

“…The optimum processing at the transmitter in a MIMO-OFDM system is beamforming based on eigenvectors at each subcarrier to orthogonalize the MIMO channel [19], [20]. Also in MIMO single carrier transmission, we can apply eigenbeams to space-frequency domain equalization where the eigenbeam is calculated at each orthogonal frequency point [21].…”

Section: Introductionmentioning

confidence: 99%

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Pseudo Eigenbeam-Space Division Multiplexing (PE-SDM) in Frequency-Selective MIMO Channels

Nishimoto¹,

Nishimura²,

Ohgane³

et al. 2007

IEICE Transactions on Communications

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Hiroshi NISHIMOTO †a) , Student Member, Toshihiko NISHIMURA †b) , Takeo OHGANE †c) , and Yasutaka OGAWA †d) , Members SUMMARYIn a frequency-selective multiple-input multiple-output (MIMO) channel, the optimum transmission is achieved by beamforming with eigenvectors obtained at each discrete frequency point, i.e., an extension of eigenbeam-space division multiplexing (E-SDM). However, the calculation load of eigenvalue decomposition at the transmitter increases in proportion to the number of frequency points. In addition, frequencyindependent eigenvectors increase the delay spread of the effective channel observed at the receiver. In this paper, we propose a pseudo eigenvector scheme for the purpose of mitigating the calculation load and maintaining frequency continuity (or decreasing the delay spread). First, we demonstrate that pseudo eigenvectors reduce the delay spread of the effective channels with low computational complexity. Next, the practical performance of the pseudo E-SDM (PE-SDM) transmission is evaluated. The simulation results show that PE-SDM provides almost the same or better performance compared with E-SDM when the receiver employs a time-windowing-based channel estimation available in the low delay spread cases.

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Section: Frequency Domain Estimation Of Effective Channelmentioning

confidence: 99%

Section: Simulation Conditionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Pseudo Eigenbeam-Space Division Multiplexing (PE-SDM) in Frequency-Selective MIMO Channels

Nishimoto¹,

Nishimura²,

Ohgane³

et al. 2007

IEICE Transactions on Communications

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“…The issue of PAPR is mainly dealt with a common problem in Communications i.e. signal distortion due to presence of independently modulated subcarriers and there arises a problem of Bit error rate (BER) [1]- [5].…”

Section: Introductionmentioning

confidence: 99%

Reduction of Papr in Mimo-Ofdm Using Adaptive SLM and PTS Technique

Nagaraju¹

2017

Helix

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This work will focus on performance comparison between two methods for combating the effects of PAPR: i.e. Selective Mapping (SLM) and Partial Transmit Sequence (PTS) method. These two methods are compared in terms of bandwidth efficiency and computation complexity with BER and PAPR reduction performance. This paper also describes the analysis and simulation of a modified SLM and PTS approach to decrease PAPR in MIMO-OFDM system. The basic principle of the coding technique known as STBC-OFDM is demonstrated through derivations and simulations. BER-analysis of MIMO-OFDM system using space-time block codes are simulated for Alamouti 2x1 system. The performance of the proposed system is better in terms of SNR as compared to systems with lower antenna configurations. In this work, the conjugate symbols were proposed, which have the same PA property. The proposed algorithm shows better PAPR performance and complexity reduction than the usual algorithms using the simulation results obtained.

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SCF: Sparse channel-state-information feedback using Karhunen-Loève transform

Joung

Sun

2014

2014 IEEE Globecom Workshops (GC Wkshps)

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Reduction of the Amount of Channel State Information Feedback in MIMO-OFDM Eigenbeam-Space Division Multiplexing Systems

Cited by 9 publications

References 7 publications

Pseudo Eigenbeam-Space Division Multiplexing (PE-SDM) in Frequency-Selective MIMO Channels

Pseudo Eigenbeam-Space Division Multiplexing (PE-SDM) in Frequency-Selective MIMO Channels

Reduction of Papr in Mimo-Ofdm Using Adaptive SLM and PTS Technique

SCF: Sparse channel-state-information feedback using Karhunen-Loève transform

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Reduction of the Amount of Channel State Information Feedback in MIMO-OFDM Eigenbeam-Space Division Multiplexing Systems

Cited by 9 publications

References 7 publications

Pseudo Eigenbeam-Space Division Multiplexing (PE-SDM) in Frequency-Selective MIMO Channels

Pseudo Eigenbeam-Space Division Multiplexing (PE-SDM) in Frequency-Selective MIMO Channels

Reduction of Papr in Mimo-Ofdm Using Adaptive SLM and PTS Technique

SCF: Sparse channel-state-information feedback using Karhunen-Lo&#x00E8;ve transform

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Product

Resources

About

SCF: Sparse channel-state-information feedback using Karhunen-Loève transform