Correlated Fading in Broadcast MIMO Channels: Curse or Blessing?

Clerckx, Bruno; Kim, Gil; Kim, Sungjin

doi:10.1109/glocom.2008.ecp.735

Cited by 86 publications

(96 citation statements)

References 16 publications

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“…To this end, it is found that the second order channel statistics, specifically the channel correlation matrices (CCMs) of the channel coefficients, are of tremendous help [5]- [9]. Compared with the instantaneous CSIT realizations, the CCMs, which are determined by user-locations and large-scale fading, vary at a much slower time scale, e.g., seconds to tens of seconds in cellular systems.…”

Section: Introductionmentioning

confidence: 99%

Achievable Rates of FDD Massive MIMO Systems With Spatial Channel Correlation

Jiang

Molisch

Caire

et al. 2015

IEEE Trans. Wireless Commun.

223

129

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It is well known that the performance of frequency-division-duplex (FDD) massive MIMO systems with i.i.d. channels is disappointing compared with that of time-division-duplex (TDD) systems, due to the prohibitively large overhead for acquiring channel state information at the transmitter (CSIT). In this paper, we investigate the achievable rates of FDD massive MIMO systems with spatially correlated channels, considering the CSIT acquisition dimensionality loss, the imperfection of CSIT and the regularized-zero-forcing linear precoder. The achievable rates are optimized by judiciously designing the downlink channel training sequences and user CSIT feedback codebooks, exploiting the multiuser spatial channel correlation. We compare our achievable rates with TDD massive MIMO systems, i.i.d. FDD systems, and the joint spatial division and multiplexing (JSDM) scheme, by deriving the deterministic equivalents of the achievable rates, based on popular channel models. It is shown that, based on the proposed eigenspace channel estimation schemes, the rate-gap between FDD systems and TDD systems is significantly narrowed, even approached under moderate number of base station antennas. Compared to the JSDM scheme, our proposal achieves dimensionality-reduction channel estimation without channel pre-projection, and higher throughput for moderate number of antennas and moderate to large channel coherence time, though at higher computational complexity.

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Section: Introductionmentioning

confidence: 99%

Achievable Rates of FDD Massive MIMO Systems With Spatial Channel Correlation

Jiang

Molisch

Caire

et al. 2015

IEEE Trans. Wireless Commun.

223

129

View full text Add to dashboard Cite

show abstract

“…Since channel mean information (CMI) is rather static and varies only over a long time scale, SCSI can be more easily and accurately obtained by the BSs through long-term feedback [21]. 1 Regarding related literature, a SCSIaided MU-MIMO downlink transmission scheme was initially studied in [22,23], where the impact of spatial correlation on the achievable sum-rate and feedback overhead was investigated. Furthermore, the authors in [24] demonstrated that SE-SDMA can achieve the maximum achievable ergodic sum-rate for MU-MIMO with SCSI at the BS and perfect CSI at the users.…”

Section: Introductionmentioning

confidence: 99%

Statistical Eigenmode Transmission for the MU-MIMO Downlink in Rician Fading

Jin

Tan

Matthaiou

et al. 2015

IEEE Trans. Wireless Commun.

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Abstract-In this paper, we study the achievable ergodic sum-rate of multiuser multiple-input multiple-output downlink systems in Rician fading channels. We first derive a lower bound on the average signal-to-leakage-and-noise ratio by using the Mullen's inequality, and then use it to analyze the effect of channel mean information on the achievable ergodic sum-rate. A novel statistical-eigenmode space-division multiple-access (SE-SDMA) downlink transmission scheme is then proposed. For this scheme, we derive an exact analytical closed-form expression for the achievable ergodic rate and present tractable tight upper and lower bounds. Based on our analysis, we gain valuable insights into the system parameters, such as the number of transmit antennas, the signal-to-noise ratio (SNR) and Rician K-factor on the system sum-rate. Results show that the sum-rate converges to a saturation value in the high SNR regime and tends to a lower limit for the low Rician K-factor case. In addition, we compare the achievable ergodic sum-rate between SE-SDMA and zeroforcing beamforming with perfect channel state information at the base station. Our results reveal that the rate gap tends to zero in the high Rician K-factor regime. Finally, numerical results are presented to validate our analysis.

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“…It is considered a standard owing to its simplicity [16]. An interesting DFT codeword feature benefiting the 2D multi-user MIMO is that, as the number of antennas at the BS increases, the corresponding half-power beam width (HPBW) of the DFT beams becomes more narrow [17].…”

Section: Kronecker-based Discrete Fourier Transform (Dft) Beamspace Pmentioning

confidence: 99%

Optimal Planar Array Architecture for Full-Dimensional Multi-user Multiple-Input Multiple-Output with Elevation Modeling

Abubakari

Raymond

2017

ETRI Journal

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Research interest in three-dimensional multiple-input multiple-output (3D-MIMO) beamforming has rapidly increased on account of its potential to support high data rates through an array of strategies, including sector or user-specific elevation beamforming and cell-splitting. To evaluate the full performance benefits of 3D and fulldimensional (FD) MIMO beamforming, the 3D character of the real MIMO channel must be modeled with consideration of both the azimuth and elevation domain. Most existing works on the 2D spatial channel model (2D-SCM) assume a wide range for the distribution of elevation angles of departure (eAoDs), which is not practical according to field measurements. In this paper, an optimal FD-MIMO planar array configuration is presented for different practical channel conditions by restricting the eAoDs to a finite range. Using a dynamic network level simulator that employs a complete 3D SCM, we analyze the relationship between the angular spread and sum throughput. In addition, we present an analysis on the optimal antenna configurations for the channels under consideration.

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Correlated Fading in Broadcast MIMO Channels: Curse or Blessing?

Cited by 86 publications

References 16 publications

Achievable Rates of FDD Massive MIMO Systems With Spatial Channel Correlation

Achievable Rates of FDD Massive MIMO Systems With Spatial Channel Correlation

Statistical Eigenmode Transmission for the MU-MIMO Downlink in Rician Fading

Optimal Planar Array Architecture for Full-Dimensional Multi-user Multiple-Input Multiple-Output with Elevation Modeling

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