Large-System Mutual Information Analysis of Receive Spatial Modulation in Correlated Multi-Cell Massive MIMO Networks

Maleki, Marjan; Mohamed-pour, Kamal; Soltanalian, Mojtaba

doi:10.1109/tcomm.2019.2924213

Cited by 7 publications

(3 citation statements)

References 37 publications

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“…Compared with the conventional precoder, this precoder can significantly enhance the downlink achievable rate. In a multi-cell scenario, employing zero forcing (ZF) and regularized ZF (RZF) precoding scheme, the closed-form downlink achievable rates are derived [16]. It validates that the achievable rates are significantly affected by pilot contamination (PC).…”

Section: Introductionmentioning

confidence: 83%

Uplink Achievable Rate analysis of Massive MIMO Systems in Transmit-correlated Ricean Fading Environments

2023

KSII TIIS

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In this article, the uplink achievable rate is investigated for massive multiple-input multiple-output (MIMO) under correlated Ricean fading channel, where each base station (BS) and user are both deployed multiple antennas. Considering the availability of prior knowledge at BS, two different channel estimation approaches are adopted with and without prior knowledge. Based on these channel estimations, a two-layer decoding scheme is adopted with maximum ratio precoding as the first layer decoder and optimal second layer precoding in the second layer. Based on two aforementioned channel estimations and two-layer decoding scheme, the exact closed form expressions for uplink achievable rates are computed with and without prior knowledge, respectively. These derived expressions enable us to analyze the impacts of line-of-sight (LoS) component, two-layer decoding, data transmit power, pilot contamination, and spatially correlated Ricean fading. Then, numerical results illustrate that the system with spatially correlated Ricean fading channel is superior in terms of uplink achievable rate. Besides, it reveals that compared with the single-layer decoding, the two-layer decoding scheme can significantly improve the uplink achievable rate performance.

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Section: Introductionmentioning

confidence: 83%

Uplink Achievable Rate analysis of Massive MIMO Systems in Transmit-correlated Ricean Fading Environments

2023

KSII TIIS

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“…Adopting the channel reciprocity where the estimated channel in the uplink transmission can be used in downlink transmission, a predefined pilot sequence is appropriate to obtain the CSI [9]. At symbol time 0 the pilot symbol is sent, and the received pilot signal at BS is given by

y_{P} = g ()(, 0) x_{P} + w_{P} .

The pilot symbol

x_{normalP}

is assume to be 1, here

w_{normalP}

denotes the additive noise, and

w_{P} \sim C N ()(, 0, γ_{P})

.…”

Section: Pilot and Data Transmissionsmentioning

confidence: 99%

“…Pilot and data transmissions: Adopting the channel reciprocity where the estimated channel in the uplink transmission can be used in downlink transmission, a predefined pilot sequence is appropriate to obtain the CSI [9]. At symbol time 0 the pilot symbol is sent, and the received pilot signal at BS is given by…”

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confidence: 99%

Performance analysis for joint processing of pilot and data symbols with channel aging

2019

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Considering aging channel effect, the joint processing of pilot and data symbols scheme is investigated. Through the analysis of mutual information, the authors decompose the lower bound of the achievable rate into three terms with explicit physical meanings, and obtain the closed-form expression of the achievable rate. In the derivation of the closed-form expressions, this Letter proposes two novel joint processing algorithms. Through simulation, the joint processing is found to provide a better performance due to the extra information captured by received data signals. In addition, the joint processing scheme is shown to overcome the saturation area issue which further facilitates the application of joint processing. Moreover, the proposed algorithms are shown to enhance the performance gain comparing with the traditional one-step prediction method. The channel aging effect on joint processing is further discussed, remarkably, when the terminal moves fast, the joint processing can still support a relatively satisfying performance.

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Lower bound on the capacity of distributed MIMO systems with spatially correlated Rician/Lognormal fading

Wang

2022

Physical Communication

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Large-System Mutual Information Analysis of Receive Spatial Modulation in Correlated Multi-Cell Massive MIMO Networks

Cited by 7 publications

References 37 publications

Uplink Achievable Rate analysis of Massive MIMO Systems in Transmit-correlated Ricean Fading Environments

Uplink Achievable Rate analysis of Massive MIMO Systems in Transmit-correlated Ricean Fading Environments

Performance analysis for joint processing of pilot and data symbols with channel aging

Lower bound on the capacity of distributed MIMO systems with spatially correlated Rician/Lognormal fading

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