@inproceedings{d21c141ef5b84d22a158b801f3b5d073,
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.",
keywords = "Massive MIMO, stochastic geometry, sum rate",
author = "Sudip Biswasy and Jiang Xue and Faheem Khan and Tharmalingam Ratnarajah",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Symposium on Information Theory, ISIT 2015 ; Conference date: 14-06-2015 Through 19-06-2015",
year = "2015",
month = sep,
day = "28",
doi = "10.1109/ISIT.2015.7282927",
language = "英语",
series = "IEEE International Symposium on Information Theory - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2603--2607",
booktitle = "Proceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015",
}