Work

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

Year: 2024

Type: article

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 by the simulated results, we show that the expected quantization error of SCs is the best IC to be considered for SC systems.

Source: IEEE Access

DOI: 10.1109/access.2024.3524671

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

Institutions: Melbourne Institute of Technology, University of Technology Sydney, King Saud University, Torrens University Australia

Language: English

Topic: Advanced MIMO Systems Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $1,995