Downlink multiuser massive MIMO in Rician channels under pilot contamination

Zhao, Lou; Yang, Tao; Geraci, Giovanni; Yuan, Jinhong

doi:10.1109/icc.2016.7511515

Cited by 9 publications

(8 citation statements)

References 24 publications

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“…Approximate SE expressions for the UL and DL were provided in [7] and [8], [9], respectively. The multi-cell case was studied in [10]- [12], assuming spatially uncorrelated Rician fading within each cell and spatially uncorrelated Rayleigh fading across cells. Approximate SE expressions were derived in the UL with ZF combining [11] and in the DL with ZF [10] or regularized ZF precoding [12].…”

Section: Introductionmentioning

confidence: 99%

Massive MIMO With Spatially Correlated Rician Fading Channels

Özdogan

Björnson

Larsson

2019

IEEE Trans. Commun.

193

154

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This paper considers multi-cell Massive MIMO (multiple-input multiple-output) systems where the channels are spatially correlated Rician fading. The channel model is composed of a deterministic lineof-sight (LoS) path and a stochastic non-line-of-sight (NLoS) component describing a practical spatially correlated multipath environment. We derive the statistical properties of the minimum mean squared error (MMSE), element-wise MMSE (EW-MMSE), and least-square (LS) channel estimates for this model.Using these estimates for maximum ratio (MR) combining and precoding, rigorous closed-form uplink (UL) and downlink (DL) spectral efficiency (SE) expressions are derived and analyzed. The asymptotic SE behavior when using the different channel estimators are also analyzed. Numerical results show that the SE is higher when using the MMSE estimator than the other estimators, and the performance gap increases with the number of antennas. Index TermsMassive MIMO, spatially correlated Rician fading, channel estimation, spectral efficiency.

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Section: Introductionmentioning

confidence: 99%

Massive MIMO With Spatially Correlated Rician Fading Channels

Özdogan

Björnson

Larsson

2019

IEEE Trans. Commun.

193

154

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“…The multicell case was studied in [9]- [11], assuming spatially uncorrelated Rician fading within each cell and spatially uncorrelated Rayleigh fading across cells. Approximate SE expressions were derived in the UL with ZF combining [10] and in the DL with ZF [9] or regularized ZF precoding [11]. Note that these are the papers that consider imperfect CSI, which is the practically relevant case, while prior works assuming perfect CSI can be found in the reference lists of [6]- [11].…”

Section: Introductionmentioning

confidence: 99%

Uplink Spectral Efficiency of Massive MIMO with Spatially Correlated Rician Fading

Özdogan

Björnson

Larsson

2018

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

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This paper considers the uplink (UL) of a multicell Massive MIMO (multiple-input multiple-output) system with spatially correlated Rician fading channels. The channel model is composed of a deterministic line-of-sight (LoS) path and a stochastic non-line-of-sight (NLoS) component describing a spatially correlated multipath environment. We derive the statistical properties of the minimum mean squared error (MMSE) and least-square (LS) channel estimates for this model. Using these estimates for maximum ratio (MR) combining, rigorous closed-form UL spectral efficiency (SE) expressions are derived. Numerical results show that the SE is higher when using the MMSE estimator than the LS estimator, and the performance gap increases with the number of antennas. Moreover, Rician fading provides higher achievable SEs than Rayleigh fading since the LoS path improves the sum SE.

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“…A fully scheduled k-bit MIMO system [7][8][9] is shown in Figure 3. As per the RF chains allocations, causing more power utilization, represented as N T > N RF T and N R > N RF R , where N T are set of transmit antennas, N RF T are the set of transmitter antennas at RF chain.…”

Section: Proposed Workmentioning

confidence: 99%

Fully scheduled decomposition channel estimation based MIMO‐POMA structured LTE

Kumar

Ramana

2019

Int J Communication

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Recent challenging channel estimation for antenna beam shape MIMO without performance loss is to be improved. In this paper, a fully scheduled decomposition-based channel estimation scheme is proposed by using the concept of MIMO with position-orthogonal multiple access (POMA) system. Furthermore, to improve power allocation, an iterative power decomposition is proposed by giving solution to power optimization problem. The proposed work channel estimation achieves better comparisons.

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Downlink multiuser massive MIMO in Rician channels under pilot contamination

Cited by 9 publications

References 24 publications

Massive MIMO With Spatially Correlated Rician Fading Channels

Massive MIMO With Spatially Correlated Rician Fading Channels

Uplink Spectral Efficiency of Massive MIMO with Spatially Correlated Rician Fading

Fully scheduled decomposition channel estimation based MIMO‐POMA structured LTE

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