On the capacity of correlated massive MIMO systems using stochastic geometry

Sudip Biswasy; Jiang Xue; Faheem Khan; Tharmalingam Ratnarajah

doi:10.1109/ISIT.2015.7282927

On the capacity of correlated massive MIMO systems using stochastic geometry

Sudip Biswasy, Jiang Xue, Faheem Khan, Tharmalingam Ratnarajah

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

In this paper, we use stochastic geometry to characterize spatially distributed multi-antenna users within a cell that consists of a single multiple-input multiple-output (MIMO) base station (BS) equipped with a large antenna array. We also use large dimensional random matrix theory (RMT) to achieve deterministic approximations of the sum rate of this system. In particular, we consider the users inside the cell to follow a Poisson point process (PPP). The sum rate of this system is analyzed with respect to (i) the different number of antennas at the BS as well as (ii) the intensity of the users within the coverage area of the cell. We obtained closed-form approximations for the deterministic rate at low signal-to-noise ratio (SNR) and high SNR regimes, which have very low computational complexity. We also derive the deterministic rate corresponding to a general user who is chosen from a set of users ordered in accordance with PPP.

Original language	English
Title of host publication	Proceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2603-2607
Number of pages	5
Volume	2015-June
ISBN (Electronic)	9781467377041
DOIs	https://doi.org/10.1109/ISIT.2015.7282927
Publication status	Published - 28 Sep 2015
Externally published	Yes
Event	2015 IEEE International Symposium on Information Theory - Hong Kong, Hong Kong Duration: 14 Jun 2015 → 19 Jun 2015 http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=35739&copyownerid=1

Conference

Conference	2015 IEEE International Symposium on Information Theory
Abbreviated title	ISIT 2015
Country/Territory	Hong Kong
City	Hong Kong
Period	14/06/15 → 19/06/15
Internet address	http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=35739&copyownerid=1

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Cite this

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title = "On the capacity of correlated massive MIMO systems using stochastic geometry",

abstract = "In this paper, we use stochastic geometry to characterize spatially distributed multi-antenna users within a cell that consists of a single multiple-input multiple-output (MIMO) base station (BS) equipped with a large antenna array. We also use large dimensional random matrix theory (RMT) to achieve deterministic approximations of the sum rate of this system. In particular, we consider the users inside the cell to follow a Poisson point process (PPP). The sum rate of this system is analyzed with respect to (i) the different number of antennas at the BS as well as (ii) the intensity of the users within the coverage area of the cell. We obtained closed-form approximations for the deterministic rate at low signal-to-noise ratio (SNR) and high SNR regimes, which have very low computational complexity. We also derive the deterministic rate corresponding to a general user who is chosen from a set of users ordered in accordance with PPP.",

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note = "2015 IEEE International Symposium on Information Theory, ISIT 2015 ; Conference date: 14-06-2015 Through 19-06-2015",

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Biswasy, S, Xue, J, Khan, F & Ratnarajah, T 2015, On the capacity of correlated massive MIMO systems using stochastic geometry. in Proceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015. vol. 2015-June, 7282927, Institute of Electrical and Electronics Engineers Inc., pp. 2603-2607, 2015 IEEE International Symposium on Information Theory, Hong Kong, Hong Kong, 14/06/15. https://doi.org/10.1109/ISIT.2015.7282927

On the capacity of correlated massive MIMO systems using stochastic geometry. / Biswasy, Sudip; Xue, Jiang; Khan, Faheem et al.

Proceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015. Vol. 2015-June Institute of Electrical and Electronics Engineers Inc., 2015. p. 2603-2607 7282927.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Xue, Jiang

AU - Khan, Faheem

AU - Ratnarajah, Tharmalingam

PY - 2015/9/28

Y1 - 2015/9/28

N2 - In this paper, we use stochastic geometry to characterize spatially distributed multi-antenna users within a cell that consists of a single multiple-input multiple-output (MIMO) base station (BS) equipped with a large antenna array. We also use large dimensional random matrix theory (RMT) to achieve deterministic approximations of the sum rate of this system. In particular, we consider the users inside the cell to follow a Poisson point process (PPP). The sum rate of this system is analyzed with respect to (i) the different number of antennas at the BS as well as (ii) the intensity of the users within the coverage area of the cell. We obtained closed-form approximations for the deterministic rate at low signal-to-noise ratio (SNR) and high SNR regimes, which have very low computational complexity. We also derive the deterministic rate corresponding to a general user who is chosen from a set of users ordered in accordance with PPP.

AB - In this paper, we use stochastic geometry to characterize spatially distributed multi-antenna users within a cell that consists of a single multiple-input multiple-output (MIMO) base station (BS) equipped with a large antenna array. We also use large dimensional random matrix theory (RMT) to achieve deterministic approximations of the sum rate of this system. In particular, we consider the users inside the cell to follow a Poisson point process (PPP). The sum rate of this system is analyzed with respect to (i) the different number of antennas at the BS as well as (ii) the intensity of the users within the coverage area of the cell. We obtained closed-form approximations for the deterministic rate at low signal-to-noise ratio (SNR) and high SNR regimes, which have very low computational complexity. We also derive the deterministic rate corresponding to a general user who is chosen from a set of users ordered in accordance with PPP.

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PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

On the capacity of correlated massive MIMO systems using stochastic geometry

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