An iterative beamforming technique for OFDM-based wireless networks with uncoordinated channel access

Hunziker, Thomas; Aono, Tomoyuki; Ohira, Takashi

doi:10.1109/icc.2004.1313031

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…This may serve as the stopping criterion, even though having arrived atŝ ML is not guaranteed. As shown in [18], this procedure represents an instance of the SAGE algorithm derived in [17].…”

Section: B Iterative Likelihood-maximizationmentioning

confidence: 99%

Maximum-Likelihood Array Signal Decoding in the Presence of Block-Wise Stationary Cochannel Interference

Hunziker

Bordim

Takeuchi

et al. 2007

IEEE Trans. Wireless Commun.

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We address the demodulation and decoding of array signals in the presence of fluctuating cochannel interference (CCI). The maximum-likelihood decoder is formulated for the case of N receive antennas and stationary, temporally white Gaussian CCI within blocks of K samples, where K ≥ N . The pairwise error probability (PEP) is utilized to quantify the degradation in performance resulting from the absence of side information about the CCI. For pairs of code words that differ over a large number of blocks, an asymptotic PEP performance degradation of 10 log 10 (K/(K −N )) decibels is found.An iterative maximization of the log-likelihood function leads to an alternative suboptimal receiver with reduced complexity, including a block-wise adaptive beamforming via a sample matrix inversion (SMI) and a nearest-neighbor decoding. From the statistics of the spatially filtered signals we find the asymptotic PEP performance, and see that the presence of the desired signal, which is known to adversely affect the output of SMI-based beamformers with small sample support, is gradually mitigated in the iterative procedure.Index Terms-Cochannel interference, maximum-likelihood estimation, adaptive beamforming.

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Section: B Iterative Likelihood-maximizationmentioning

confidence: 99%

Maximum-Likelihood Array Signal Decoding in the Presence of Block-Wise Stationary Cochannel Interference

Hunziker

Bordim

Takeuchi

et al. 2007

IEEE Trans. Wireless Commun.

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show abstract

“…Remark Analytical characterisation of beamforming algorithms in cellular networks was previously found to have no tractable analysis (because of the dependency of their transmission decisions on the CSI, codebook size, receiver type and number of antennas [10, 21, 26]). For this reason, beamforming algorithms for such networks, in general, are often evaluated via simulations [10, 21].…”

Section: Performance Evaluationmentioning

confidence: 99%

Iterative beamforming algorithm for improved throughput in multi‐cell multi‐antenna wireless systems

Hailat

2015

IET Communications

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An iterative beamforming technique for OFDM-based wireless networks with uncoordinated channel access

Cited by 2 publications

References 13 publications

Maximum-Likelihood Array Signal Decoding in the Presence of Block-Wise Stationary Cochannel Interference

Maximum-Likelihood Array Signal Decoding in the Presence of Block-Wise Stationary Cochannel Interference

Iterative beamforming algorithm for improved throughput in multi‐cell multi‐antenna wireless systems

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