University of Oulu

H. A. Moghaddam, A. Tölli, L. Sanguinetti and M. Debbah, "Deterministic equivalent for max-min SINR over random user locations," 2017 IEEE International Conference on Communications (ICC), Paris, 2017, pp. 1-6. doi: 10.1109/ICC.2017.7996787

Deterministic equivalent for max-min SINR over random user locations

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Author: Moghaddam, Hossein A.1; Tölli, Antti1; Sanguinetti, Luca2,3;
Organizations: 1Center for wireless communications (CWC), University of Oulu, Oulu, Finland
2Dipartimento di Ingegneria dell’Informazione, University of Pisa, Pisa, Italy
3Large Networks and System Group (LANEAS), CentraleSupélec, Université Paris-Saclay, Gif-sur-Yvette, France
4Mathematical and Algorithmic Sciences Lab, Huawei France, Paris, France
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.4 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2018080133220
Language: English
Published: Institute of Electrical and Electronics Engineers, 2017
Publish Date: 2018-08-01
Description:

Abstract

The max-min signal-to-interference-plus-noise ratio (SINR) problem is considered in a coordinated network wherein L base stations (BSs) each equipped with N antennas serve in total K single-antenna users that are uniformly distributed in the network. We conduct the analysis in the asymptotic regime in which N and K grow large to compute a deterministic approximation for the max-min SINR. The results are independent from fast-fading and users' locations and thus allow one to determine the optimal max-min SINR given basic system parameters such as cell radius, K, N and pathloss exponent. The provided framework can be utilized for analyzing the problem without the need to run system level simulations and for finding the optimal N, K, resource allocation and BS placement. Numerical results are used to validate the analytical results in a finite system regime and to evaluate the effects of system parameters on the system performance.

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Series: IEEE International Conference on Communications
ISSN: 1550-3607
ISSN-E: 1938-1883
ISSN-L: 1550-3607
ISBN: 978-1-4673-8999-0
ISBN Print: 978-1-4673-9000-2
Pages: 1 - 6
DOI: 10.1109/ICC.2017.7996787
OADOI: https://oadoi.org/10.1109/ICC.2017.7996787
Host publication: 2017 IEEE International Conference on Communications (ICC)
Conference: IEEE International Conference on Communications
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This research was supported by the Academy of Finland (Decision no. 279101 and 284590). The research of L. Sanguinetti and M. Debbah has been supported by the ERC Starting Grant 305123 MORE.
Academy of Finland Grant Number: 279101
284590
Detailed Information: 279101 (Academy of Finland Funding decision)
284590 (Academy of Finland Funding decision)
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