On the statistics of SINR in cellular networks

Arman Shojaeifard; K A Hamdi; Emad Alsusa; DKC So; Jie Tang

doi:10.1109/ICC.2015.7248996

On the statistics of SINR in cellular networks

Arman Shojaeifard, K A Hamdi, Emad Alsusa, DKC So, Jie Tang

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

Abstract

We provide new results on the signal-to-interference-plus-noise ratio (SINR) statistics considering a Poisson point process (PPP)-based heterogeneous interference field. In particular, closed-form expressions for the density functions of the reciprocal of the aggregate interference and signal-to-interference ratio (SIR) are developed. We prove that the effect of PPP-based interference on useful transmission is mathematically equivalent to the severe impact from a one-sided Gaussian fading channel. As an application example, the proposed approach is used to design and analyze the average SINR performance of a typical user in heterogeneous cellular networks (HetNets).

Original language	English
Title of host publication	Communications (ICC), 2015 IEEE International Conference on
Pages	4285-4290
Number of pages	6
DOIs	https://doi.org/10.1109/ICC.2015.7248996
Publication status	Published - Jun 2015
Event	IEEE International Conference on Communications (ICC) - Duration: 1 Jan 1824 → …

Conference

Conference	IEEE International Conference on Communications (ICC)
Period	1/01/24 → …

Keywords

Gaussian channels
cellular radio
fading channels
radiofrequency interference
statistical analysis
PPP-based interference
Poisson point process
SINR statistics
heterogeneous cellular networks
one-sided Gaussian fading channel
signal-to-interference-plus-noise ratio statistics
Aggregates
Closed-form solutions
Fading
Interference
Shadow mapping
Signal to noise ratio
Wireless communication

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10.1109/ICC.2015.7248996

Cite this

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title = "On the statistics of SINR in cellular networks",

abstract = "We provide new results on the signal-to-interference-plus-noise ratio (SINR) statistics considering a Poisson point process (PPP)-based heterogeneous interference field. In particular, closed-form expressions for the density functions of the reciprocal of the aggregate interference and signal-to-interference ratio (SIR) are developed. We prove that the effect of PPP-based interference on useful transmission is mathematically equivalent to the severe impact from a one-sided Gaussian fading channel. As an application example, the proposed approach is used to design and analyze the average SINR performance of a typical user in heterogeneous cellular networks (HetNets).",

keywords = "Gaussian channels, cellular radio, fading channels, radiofrequency interference, statistical analysis, PPP-based interference, Poisson point process, SINR statistics, heterogeneous cellular networks, one-sided Gaussian fading channel, signal-to-interference-plus-noise ratio statistics, Aggregates, Closed-form solutions, Fading, Interference, Shadow mapping, Signal to noise ratio, Wireless communication",

author = "Arman Shojaeifard and Hamdi, {K A} and Emad Alsusa and DKC So and Jie Tang",

year = "2015",

month = jun,

doi = "10.1109/ICC.2015.7248996",

language = "English",

pages = "4285--4290",

booktitle = "Communications (ICC), 2015 IEEE International Conference on",

note = "IEEE International Conference on Communications (ICC) ; Conference date: 01-01-1824",

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TY - GEN

T1 - On the statistics of SINR in cellular networks

AU - Shojaeifard, Arman

AU - Hamdi, K A

AU - Alsusa, Emad

AU - So, DKC

AU - Tang, Jie

PY - 2015/6

Y1 - 2015/6

N2 - We provide new results on the signal-to-interference-plus-noise ratio (SINR) statistics considering a Poisson point process (PPP)-based heterogeneous interference field. In particular, closed-form expressions for the density functions of the reciprocal of the aggregate interference and signal-to-interference ratio (SIR) are developed. We prove that the effect of PPP-based interference on useful transmission is mathematically equivalent to the severe impact from a one-sided Gaussian fading channel. As an application example, the proposed approach is used to design and analyze the average SINR performance of a typical user in heterogeneous cellular networks (HetNets).

AB - We provide new results on the signal-to-interference-plus-noise ratio (SINR) statistics considering a Poisson point process (PPP)-based heterogeneous interference field. In particular, closed-form expressions for the density functions of the reciprocal of the aggregate interference and signal-to-interference ratio (SIR) are developed. We prove that the effect of PPP-based interference on useful transmission is mathematically equivalent to the severe impact from a one-sided Gaussian fading channel. As an application example, the proposed approach is used to design and analyze the average SINR performance of a typical user in heterogeneous cellular networks (HetNets).

KW - Gaussian channels

KW - cellular radio

KW - fading channels

KW - radiofrequency interference

KW - statistical analysis

KW - PPP-based interference

KW - Poisson point process

KW - SINR statistics

KW - heterogeneous cellular networks

KW - one-sided Gaussian fading channel

KW - signal-to-interference-plus-noise ratio statistics

KW - Aggregates

KW - Closed-form solutions

KW - Fading

KW - Interference

KW - Shadow mapping

KW - Signal to noise ratio

KW - Wireless communication

U2 - 10.1109/ICC.2015.7248996

DO - 10.1109/ICC.2015.7248996

M3 - Conference contribution

SP - 4285

EP - 4290

BT - Communications (ICC), 2015 IEEE International Conference on

T2 - IEEE International Conference on Communications (ICC)

Y2 - 1 January 1824

ER -

On the statistics of SINR in cellular networks

Abstract

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Keywords

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