Area performance of multi-cell massive MIMO system under Ricean fading

Nyarko, James Kweku Nkrumah; Yao, Rugui; Mbom, Christian Ango

doi:10.1109/icspcc.2017.8242575

Cited by 2 publications

(1 citation statement)

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“…As can be seen from (21)- (22), the UL performances generated by g k are mainly determined by the level of the specular component. That is, the proposed statistical processing is essentially beneficial in LoS-prevailing environments, thereby requiring a certain level of κ.…”

Section: ) Statistical Combining In Single-cell Systemsmentioning

confidence: 99%

LMMSE Receivers in Uplink Massive MIMO Systems With Correlated Rician Fading

Boukhedimi

Kammoun

Alouini

2019

IEEE Trans. Commun.

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We carry out a theoretical analysis of the uplink (UL) of a massive MIMO system with per-user channel correlation and Rician fading, using two processing approaches. Firstly, we examine the linearminimum-mean-square-error receiver under training-based imperfect channel estimates. Secondly, we propose a statistical combining technique that is more suitable in environments with strong Line-of-Sight (LoS) components. We derive closed-form asymptotic approximations of the UL spectral efficiency (SE) attained by each combining scheme in single and multi-cell settings, as a function of the system parameters. These expressions are insightful in how different factors such as LoS propagation conditions and pilot contamination impact the overall system performance. Furthermore, they are exploited to determine the optimal number of training symbols which is shown to be of significant interest at low Rician factors. The study and numerical results substantiate that stronger LoS signals lead to better performances, and under such conditions, the statistical combining entails higher SE gains than the conventional receiver. Index TermsMassive MIMO, correlated Rician fading, imperfect channel estimation, optimal training, LMMSE combining.

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Section: ) Statistical Combining In Single-cell Systemsmentioning

confidence: 99%