Performance analysis of MAX-SINR algorithm under CSI mismatch

Razavi, Seyyed Mohammad; Ratnarajah, Tharmalingam

doi:10.1109/icassp.2014.6855104

Cited by 5 publications

(2 citation statements)

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“…However, as stated in [6], [21], [22], Max-SINR without orthogonalization can not achieve full DoF, since at least one of its precoders and/or combiners may become rankdeficient, and this can further result in reduced multiplexing gain. Therefore, when using Max-SINR, if the goal is to preserve full DoF, the inclusion of orthogonalization steps is mandatory.…”

Section: Discussionmentioning

confidence: 99%

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Adaptive MMSE-based beamformer design for multiuser MIMO interference channels

Razavi

Ratnarajah

2014

2014 IEEE Global Communications Conference

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With the presence of perfect channel state information (CSI), the achievable degrees of freedom (DoF) in wireless interference networks can be linearly scaled up with the number of users. Achievability is based on the idea of interference alignment (IA). However, with the presence of imperfect CSI, the sum rate becomes degraded and full DoF may not be achievable anymore. In this paper and by considering a generalized CSI mismatch model, we propose a novel MMSE-based IA scheme such that the unitary beamformers are adaptively designed to achieve better performance when only imperfect CSI is available. We then compare the performance of the proposed scheme with maximum signal-to-interference-plus-noise ratio (Max-SINR) algorithm. We show that while under perfect CSI the proposed algorithm achieves the same performance as Max-SINR, the former outperforms the latter under CSI mismatch. Meanwhile, it is shown that the proposed algorithm needs less CSI to be available and has less computational complexity compared to Max-SINR.

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Section: Discussionmentioning

confidence: 99%

“…Moreover, it has been shown that these inserted orthogonalization steps do not compromise the achievable sum rates even at intermediate SNRs [21]. Consequently, in the sequel, we use Max-SINR with orthogonalization which can be represented as follows [22]:…”

Section: Discussionmentioning

confidence: 99%