The lack of citations to Indian research

This research evaluates numerous ways for allocating and splitting the spectrum to reduce cross-tier interference in downlink beamforming configurations. By increasing SIR, beamforming improves spectrum efficiency by enabling more femtocells to share the microcell's spectrum. Our work begins with the development of a straightforward centralized system as the best option for deciding whether femtocells should use the whole or partitioned spectrum with tolerable control overhead, and continues with the presentation of a workable decentralized alternative. In order to make the most of limited data on the received signal intensity, we compare two different probabilistic femtocell base station (HeNB) selection strategies in this work. In this work, we implement two selection policies, equal selection and interference weighted selection, to regulate the outage probability for a microcell user. Through a thorough analysis of our method's performance, we demonstrate that it significantly outperforms a conventional cochannel deployment strategy in terms of outage probability and cell capacity. We further show that our proposed approach outperforms the fixed-ratio spectrum-partitioning method while providing comparable cell utility to the centralized approach.

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Publication Details

Journal
Indo-American Journal of Agricultural and Veterinary Sciences
Published
2026-10-17
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
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article

The lack of citations to Indian research

K. C. Garg, S. Kumar
Indo-American Journal of Agricultural and Veterinary Sciences
Advanced MIMO Systems Optimization
article

The lack of citations to Indian research

K. C. Garg, S. Kumar
article en

Abstract

This research evaluates numerous ways for allocating and splitting the spectrum to reduce cross-tier interference in downlink beamforming configurations. By increasing SIR, beamforming improves spectrum efficiency by enabling more femtocells to share the microcell's spectrum. Our work begins with the development of a straightforward centralized system as the best option for deciding whether femtocells should use the whole or partitioned spectrum with tolerable control overhead, and continues with the presentation of a workable decentralized alternative. In order to make the most of limited data on the received signal intensity, we compare two different probabilistic femtocell base station (HeNB) selection strategies in this work. In this work, we implement two selection policies, equal selection and interference weighted selection, to regulate the outage probability for a microcell user. Through a thorough analysis of our method's performance, we demonstrate that it significantly outperforms a conventional cochannel deployment strategy in terms of outage probability and cell capacity. We further show that our proposed approach outperforms the fixed-ratio spectrum-partitioning method while providing comparable cell utility to the centralized approach.

Indo-American Journal of Agricultural and Veterinary Sciences
Industry, innovation and infrastructure
Openalex Percentile: Top 27%
Advanced MIMO Systems Optimization
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