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 proceedingConference contributionpeer-review

1 Citation (Scopus)


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 languageEnglish
Title of host publicationProceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781467377041
Publication statusPublished - 28 Sep 2015
Externally publishedYes
Event2015 IEEE International Symposium on Information Theory - Hong Kong, Hong Kong
Duration: 14 Jun 201519 Jun 2015


Conference2015 IEEE International Symposium on Information Theory
Abbreviated titleISIT 2015
Country/TerritoryHong Kong
CityHong Kong
Internet address


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