Quantification of Interference Constraint for Small Cells in Low SINR Regime with Steepest Ascent Method

Sanjeeb Shrestha; Xiaojing Huang; Kashif Saleem; Savitri Bevinakoppa; Tony Jan

doi:10.1109/ACCESS.2024.3524671

Quantification of Interference Constraint for Small Cells in Low SINR Regime with Steepest Ascent Method

Sanjeeb Shrestha, Xiaojing Huang, Kashif Saleem, Savitri Bevinakoppa, Tony Jan

Research output: Contribution to journal › Article › peer-review

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Abstract

The ubiquitous proliferation of small cells (SCs) is for boosting system capacity, coverage, and quality of services (QoS) for smart applications. However, interference from the adjacent SCs is inevitable due to their dense deployments - satisfying the low signal-to-interference-plus-noise ratio (SINR) regime. In this paper, we quantify the minimum interference constraint (IC) for SCs, which is critical for the multiplexing gain in the low SINR regime. The iterative steepest ascent (SA) method is used to quantify ICs for SCs. With the proof of convergence and the comparative analysis of the ideal and real cases, supported with the simulated results, we show that the expected quantization error of SCs is the best IC to be considered for SC systems.

Original language	English
Pages (from-to)	2328-2339
Journal	IEEE Access
Volume	13
DOIs	https://doi.org/10.1109/ACCESS.2024.3524671
Publication status	Published - 31 Dec 2024

Keywords

interference constraint
low SINR
small cells
steepest ascent

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ACCESS.2024.3524671

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title = "Quantification of Interference Constraint for Small Cells in Low SINR Regime with Steepest Ascent Method",

abstract = "The ubiquitous proliferation of small cells (SCs) is for boosting system capacity, coverage, and quality of services (QoS) for smart applications. However, interference from the adjacent SCs is inevitable due to their dense deployments - satisfying the low signal-to-interference-plus-noise ratio (SINR) regime. In this paper, we quantify the minimum interference constraint (IC) for SCs, which is critical for the multiplexing gain in the low SINR regime. The iterative steepest ascent (SA) method is used to quantify ICs for SCs. With the proof of convergence and the comparative analysis of the ideal and real cases, supported with the simulated results, we show that the expected quantization error of SCs is the best IC to be considered for SC systems.",

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author = "Sanjeeb Shrestha and Xiaojing Huang and Kashif Saleem and Savitri Bevinakoppa and Tony Jan",

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T1 - Quantification of Interference Constraint for Small Cells in Low SINR Regime with Steepest Ascent Method

AU - Shrestha, Sanjeeb

AU - Huang, Xiaojing

AU - Saleem, Kashif

AU - Bevinakoppa, Savitri

AU - Jan, Tony

PY - 2024/12/31

Y1 - 2024/12/31

N2 - The ubiquitous proliferation of small cells (SCs) is for boosting system capacity, coverage, and quality of services (QoS) for smart applications. However, interference from the adjacent SCs is inevitable due to their dense deployments - satisfying the low signal-to-interference-plus-noise ratio (SINR) regime. In this paper, we quantify the minimum interference constraint (IC) for SCs, which is critical for the multiplexing gain in the low SINR regime. The iterative steepest ascent (SA) method is used to quantify ICs for SCs. With the proof of convergence and the comparative analysis of the ideal and real cases, supported with the simulated results, we show that the expected quantization error of SCs is the best IC to be considered for SC systems.

AB - The ubiquitous proliferation of small cells (SCs) is for boosting system capacity, coverage, and quality of services (QoS) for smart applications. However, interference from the adjacent SCs is inevitable due to their dense deployments - satisfying the low signal-to-interference-plus-noise ratio (SINR) regime. In this paper, we quantify the minimum interference constraint (IC) for SCs, which is critical for the multiplexing gain in the low SINR regime. The iterative steepest ascent (SA) method is used to quantify ICs for SCs. With the proof of convergence and the comparative analysis of the ideal and real cases, supported with the simulated results, we show that the expected quantization error of SCs is the best IC to be considered for SC systems.

KW - interference constraint

KW - low SINR

KW - small cells

KW - steepest ascent

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JF - IEEE Access

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Quantification of Interference Constraint for Small Cells in Low SINR Regime with Steepest Ascent Method

Abstract

Keywords

UN SDGs

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