Multi Controller Base Station Architecture for Efficient 2G 3G Network Operations

Narrain Prithvi Dharuman¹, Srikanthudu Avancha², Vijay Bhasker Reddy Bhimanapati³, Om Goel⁴, Niharika Singh⁵

& Raghav Agarwal⁶

¹National Institute of Technology, Trichy, India, narrain.dharuman@gmail.com

²Department of CSE Bharathidasan University Tiruchirappalli Tamilnadu, India aayyagari@gmail.com

³Department of Computer Science Southern University and A&M College L.A., U.S.A. reddy.ipa@gmail.com

⁴ABES Engineering College Ghaziabad, omgoeldec2@gmail.com

⁵ABES Engineering College Ghaziabad, niharika250104@gmail.com

⁶Assistant System Engineer, TCS Bangaluru, India, raghavagarwal4998@gmail.com

Abstract

The rapid evolution of mobile communication technologies has necessitated innovative approaches to enhance the efficiency of existing 2G and 3G network operations. This paper explores a Multi-Controller Base Station (MCBS) architecture designed to optimize resource management and improve network performance in legacy systems. By distributing control functions across multiple controllers, the MCBS architecture minimizes the processing load on individual base stations, thereby enhancing overall system scalability and reliability. This approach allows for dynamic load balancing, facilitating seamless user mobility and reduced latency during handovers.

The proposed architecture leverages advanced algorithms for resource allocation and traffic management, ensuring efficient utilization of bandwidth and power resources. Additionally, the MCBS framework incorporates mechanisms for integrating with modern network technologies, paving the way for smooth transitions to 4G and beyond. Through simulations and real-world deployments, we demonstrate the MCBS architecture’s capability to sustain high-quality service in congested urban environments, addressing the challenges posed by increasing user demands.

Our findings indicate that implementing the MCBS architecture can significantly improve network efficiency, user experience, and operational cost-effectiveness in 2G and 3G systems. This research contributes to the ongoing discourse on enhancing legacy networks, providing insights for network operators and policymakers aiming to modernize their infrastructure while accommodating the growing mobile data traffic.

Keywords

Multi-Controller Base Station, 2G, 3G, network efficiency, resource management, load balancing, mobility, latency reduction, traffic management, bandwidth optimization, legacy systems, network performance, operational cost-effectiveness.

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