QoS Based Capacity Enhancement for WCDMA Network with Coding Scheme

TL;DR

This paper explores how convolutional coding schemes can enhance capacity and QoS in WCDMA networks, comparing them with block coding and uncoded schemes to optimize resource utilization for multimedia services.

Contribution

It introduces a capacity enhancement model for WCDMA networks using convolutional coding, improving QoS and resource efficiency over existing schemes.

Findings

Convolutional coding increases network capacity for RT and NRT services.

Simulation shows improved QoS for voice and video with convolutional coding.

The proposed scheme balances resource utilization and service quality effectively.

Abstract

The wide-band code division multiple access (WCDMA) based 3G and beyond cellular mobile wireless networks are expected to provide a diverse range of multimedia services to mobile users with guaranteed quality of service (QoS). To serve diverse quality of service requirements of these networks it necessitates new radio resource management strategies for effective utilization of network resources with coding schemes. Call admission control (CAC) is a significant component in wireless networks to guarantee quality of service requirements and also to enhance the network resilience. In this paper capacity enhancement for WCDMA network with convolutional coding scheme is discussed and compared with block code and without coding scheme to achieve a better balance between resource utilization and quality of service provisioning. The model of this network is valid for the real-time (RT) and non-real-time (NRT) services having different data rate. Simulation results demonstrate the effectiveness of the network using convolutional code in terms of capacity enhancement and QoS of the voice and video services.