MU-MIMO with Channel Statistics-Based Codebooks in Spatially Correlated Channels

Clerckx, Bruno; Kim, Gil; Kim, Sungjin

doi:10.1109/glocom.2008.ecp.189

Cited by 44 publications

(32 citation statements)

References 15 publications

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“…However, a very interesting case is when all users are assumed to have the same Λ k in (2). This assumption is sufficiently realistic when all users are located in the same scattering environment and share the same correlation level [18]. With this assumption, (25) can be proved without any restriction on the value of σ 2 A1 .…”

Section: A Snr and Rate Analysismentioning

confidence: 92%

Exploiting statistical and outdated CSI in multiuser downlink transmission

Jin

Wang

Matthaiou

et al. 2012

2012 International Conference on Wireless Communications and Signal Processing (WCSP)

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Abstract-In this paper, we propose a multiuser downlink transmission scheme, which exploits both the statistical and outdated channel state information (CSI) at the transmitter. The proposed scheme extends the outdated CSI-aided scheme, first introduced by Maddah-Ali and Tse in [1] (denoted as MAT), by sending symbols demanded by a user along its statistical eigenmodes, instead of directly sending the symbols through separate antennas, and we refer to it as statistical eigenmode-MAT (SE-MAT). Considering zero-forcing receiver, we explicitly prove that the proposed SE-MAT scheme can achieve a higher ergodic sum-rate compared to the original MAT scheme, under different correlation conditions. Moreover, a user selection method which selects statistically orthogonal users for the SE-MAT transmission is proposed to further improve the system performance.

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Section: A Snr and Rate Analysismentioning

confidence: 92%

Exploiting statistical and outdated CSI in multiuser downlink transmission

Jin

Wang

Matthaiou

et al. 2012

2012 International Conference on Wireless Communications and Signal Processing (WCSP)

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“…channels and with the considered ZFBF in conjunction with the optimal power allocation under PBPC where P k is no longer P/K. Moreover, using the inequalities (9), (10) and (11) in [18], we can further obtain…”

Section: The Role Of Normalized Quantization Gainmentioning

confidence: 98%

“…Proposition 2 provides a fast and simple way to estimate the required bit number to quantize PA. From (18) we can estimate that for a CoMP system with N b = 3, when expecting a less than δ 1 = 0.1 performance gap, at most 6 bits is required for PA quantization; when δ 1 = 0.2, less than 5 bits is required.…”

Section: Required Bit Number For Pa Quantizationmentioning

confidence: 99%

“…Note that maximizing E{cos 2 (∠h h h k ,ĥ h h k )} is not optimal in a sense of maximizing the average sum rate of limited feedback systems. Nonetheless, it is a simple but effective approach to minimize the upper bound of the average per-user rate loss caused by the global CDI quantization error in CoMP systems, which is analogous to single-cell MIMO systems [17,18].…”

Section: The Role Of Normalized Quantization Gainmentioning

confidence: 99%

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Bit Allocation Between Per-Cell Codebook and Phase Ambiguity Quantization for Limited Feedback Coordinated Multi-Point Transmission Systems

Fang

Yang

2012

IEEE Trans. Commun.

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Coordinated multi-point (CoMP) transmission is a promising technique for improving spectral efficiency of full frequency reuse cellular systems. However, its performance will be severely degraded if the feedback strategies are not carefully designed for providing channel information through limited uplink resources to the coherently cooperated base stations. In this paper, we study per-cell codebook based limited feedback scheme, which is highly desirable for CoMP systems due to its scalability and flexibility. Specifically, we investigate the issues related to phase ambiguity (PA), which comes from the per-cell codebook structure. We first analyze how many bits are required for the PA feedback to ensure an allowed performance loss. We then propose an adaptive bit allocation algorithm to divide a given amount of feedback bits between the per-cell codebooks for single-cell channel direction quantization and a codebook for PA quantization, aiming at minimizing the average global channel direction quantization error. Finally we provide a scaling law of the number of feedback bits per-user when the bit allocation algorithm is used. Simulation results show that the proposed bit allocation algorithm significantly improves the throughput of coherent CoMP systems either with equal number or different number of antennas at each base station.

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“…While in [4], it is shown that non-random vector quantizers can significantly increase the MIMO downlink throughput. Furthermore, the authors in [6] study the impact of quantization on the sum rate performance in the downlink of correlated multiple antennas single cell systems.…”

mentioning

confidence: 99%

Joint compression and feedback of CSI in correlated multiuser MISO channels

Alodeh

Chatzinotas

Ottersten

2016

2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

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Abstract-The potential gains of multiple antennas in wireless systems can be limited by channel state information imperfections. In this context, this paper tackles the limited feedback in multiuser correlated multiple input single output (MU-MISO). We propose a framework to feedback the minimum number of bits with limited performance degradation. This framework is based on decor relating the channel state information by compression and then quantize the compressed (CSI) and feedback it to the base station (BS). We characterize the rate loIEEss resulting from the proposed framework. An upper bound on the rate loss is derived in terms of the amount of feedback and the statistics of the channel. Based on this characterization, we propose an adaptive bit allocation algorithm that takes into the account the channel statistics to reduce the rate loss induced by the quantization. Moreover, in order to maintain a constant rate loss with respect to perfect CSI, it is shown that the number of feedback bits should scale linearly with the SNR (in dB) and to the rank of the user transmit correlation matrix. We validate the proposed framework by Monte-carlo simulations.Index Terms-Multiuser MISO, CSI feedback, vector quantization, Karhunen-Leóve Transform (KLT), beamforming.

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MU-MIMO with Channel Statistics-Based Codebooks in Spatially Correlated Channels

Cited by 44 publications

References 15 publications

Exploiting statistical and outdated CSI in multiuser downlink transmission

Exploiting statistical and outdated CSI in multiuser downlink transmission

Bit Allocation Between Per-Cell Codebook and Phase Ambiguity Quantization for Limited Feedback Coordinated Multi-Point Transmission Systems

Joint compression and feedback of CSI in correlated multiuser MISO channels

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