Asymptotic Analysis of Regularized Zero-Forcing in Double Scattering Channels

Qurrat Ul Ain Nadeem; Abla Kammoun; Mérouane Debbah; Mohamed Slim Alouini

doi:10.1109/GLOCOM.2018.8647297

Asymptotic Analysis of Regularized Zero-Forcing in Double Scattering Channels

Qurrat Ul Ain Nadeem, Abla Kammoun, Mérouane Debbah, Mohamed Slim Alouini

Electrical Engineering

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper studies the sum-rate performance of regularized zero-forcing (RZF) precoding in a multi-user multiple-input single-output (MISO) system, where the channel between the base station (BS) and each user is modeled by the double scattering channel model. This non-Gaussian channel accounts for both the spatial correlation in the antenna arrays and the structure of scattering in the propagation environment. The user population is divided into G groups, where the users in the same group experience similar propagation conditions and are characterized by common correlation matrices. Under this setting, we derive deterministic approximations of the signal-to-interference-plus-noise ratio (SINR) and the sum-rate with RZF precoding, which are almost surely tight in the large system limit. Simulation results confirm the close match provided by the asymptotic analysis for moderate system dimensions.

Original language	English (US)
Article number	8647297
Journal	Proceedings - IEEE Global Communications Conference, GLOBECOM
DOIs	https://doi.org/10.1109/GLOCOM.2018.8647297
State	Published - 2018
Event	2018 IEEE Global Communications Conference, GLOBECOM 2018 - Abu Dhabi, United Arab Emirates Duration: Dec 9 2018 → Dec 13 2018

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Hardware and Architecture
Signal Processing

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10.1109/GLOCOM.2018.8647297

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title = "Asymptotic Analysis of Regularized Zero-Forcing in Double Scattering Channels",

abstract = "This paper studies the sum-rate performance of regularized zero-forcing (RZF) precoding in a multi-user multiple-input single-output (MISO) system, where the channel between the base station (BS) and each user is modeled by the double scattering channel model. This non-Gaussian channel accounts for both the spatial correlation in the antenna arrays and the structure of scattering in the propagation environment. The user population is divided into G groups, where the users in the same group experience similar propagation conditions and are characterized by common correlation matrices. Under this setting, we derive deterministic approximations of the signal-to-interference-plus-noise ratio (SINR) and the sum-rate with RZF precoding, which are almost surely tight in the large system limit. Simulation results confirm the close match provided by the asymptotic analysis for moderate system dimensions.",

author = "Nadeem, {Qurrat Ul Ain} and Abla Kammoun and M{\'e}rouane Debbah and Alouini, {Mohamed Slim}",

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AU - Nadeem, Qurrat Ul Ain

AU - Kammoun, Abla

AU - Debbah, Mérouane

AU - Alouini, Mohamed Slim

PY - 2018

Y1 - 2018

N2 - This paper studies the sum-rate performance of regularized zero-forcing (RZF) precoding in a multi-user multiple-input single-output (MISO) system, where the channel between the base station (BS) and each user is modeled by the double scattering channel model. This non-Gaussian channel accounts for both the spatial correlation in the antenna arrays and the structure of scattering in the propagation environment. The user population is divided into G groups, where the users in the same group experience similar propagation conditions and are characterized by common correlation matrices. Under this setting, we derive deterministic approximations of the signal-to-interference-plus-noise ratio (SINR) and the sum-rate with RZF precoding, which are almost surely tight in the large system limit. Simulation results confirm the close match provided by the asymptotic analysis for moderate system dimensions.

AB - This paper studies the sum-rate performance of regularized zero-forcing (RZF) precoding in a multi-user multiple-input single-output (MISO) system, where the channel between the base station (BS) and each user is modeled by the double scattering channel model. This non-Gaussian channel accounts for both the spatial correlation in the antenna arrays and the structure of scattering in the propagation environment. The user population is divided into G groups, where the users in the same group experience similar propagation conditions and are characterized by common correlation matrices. Under this setting, we derive deterministic approximations of the signal-to-interference-plus-noise ratio (SINR) and the sum-rate with RZF precoding, which are almost surely tight in the large system limit. Simulation results confirm the close match provided by the asymptotic analysis for moderate system dimensions.

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Asymptotic Analysis of Regularized Zero-Forcing in Double Scattering Channels

Abstract

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