Interference Management Based on RT/nRT Traffic Classification for FFR-Aided Small Cell/Macrocell Heterogeneous Networks
Mostafa Zaman Chowdhury, Md. Tanvir Hossan, Yeong Min Jang

TL;DR
This paper introduces a traffic classification-based fractional frequency reuse scheme for heterogeneous small cell and macrocell networks, improving spectrum utilization and QoS for real-time traffic.
Contribution
It proposes a novel FFR scheme that allocates bandwidth based on RT/nRT traffic classification and interference levels in small cell/macrocell networks.
Findings
Significant performance improvement over conventional FFR schemes.
Enhanced QoS for RT traffic through prioritized bandwidth allocation.
Reduced interference and call-blocking rates.
Abstract
Cellular networks are constantly lagging in terms of the bandwidth needed to support the growing high data rate demands. The system needs to efficiently allocate its frequency spectrum such that the spectrum utilization can be maximized while ensuring the quality of service (QoS) level. Owing to the coexistence of different types of traffic (e.g., real-time (RT) and non-real-time (nRT)) and different types of networks (e.g., small cell and macrocell), ensuring the QoS level for different types of users becomes a challenging issue in wireless networks. Fractional frequency reuse (FFR) is an effective approach for increasing spectrum utilization and reducing interference effects in orthogonal frequency division multiple access networks. In this paper, we propose a new FFR scheme in which bandwidth allocation is based on RT/nRT traffic classification. We consider the coexistence of small…
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