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
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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
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Publish Date: | 2018-08-01 |
Description: |
AbstractThe 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. see all
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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) |
Copyright information: |
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