Abstract
With the rapid growth of users and sustained network demands powered by different industries, the quality of service (QoS) of the cellular network is affected by network traffic and computing loads. The current solutions of QoS improvement in academia focus on the fundamental algorithms within the physical and medium access control (MAC) layer. However, traffic features of various scenarios extracted from field data are rarely addressed for practical network configuration refinement. In this paper, we identify significant indicators of high traffic load cells according to the field data provided by telecommunication operators. Then, we propose the analysis flow of high traffic load cells with basic principles of network configuration refinement for QoS improvement. To demonstrate the proposed analysis flow and the refinement principles, we consider three typical scenarios of high traffic load cells, including high population density, emergency, and high-speed mobility. For each scenario, we discuss traffic features with field data. The corresponding performance evaluation demonstrates that the proposed principle can significantly enhance the network performance and user experience in terms of access success rate, downlink data rate, and number of high traffic load cells.
Highlights
The widely deployed fifth generation (5G) and the coming sixth (6G) communication networks are believed to offer a large amount of network services for growing diverse demands, such as high-definition video playing, vehicular networks, massive Internet of Things, and telemedicine [1,2,3]
In this paper, taking the perspective of a telecommunication operator, we propose a framework of network feature analysis and configuration refinement for cellular networks
The success access ratio of the cellular network is directly related with the capacity of the network equipment, which is represented by the threshold of maximum number of online users (MNOU) and the flow control supported by boards
Summary
The widely deployed fifth generation (5G) and the coming sixth (6G) communication networks are believed to offer a large amount of network services for growing diverse demands, such as high-definition video playing, vehicular networks, massive Internet of Things, and telemedicine [1,2,3]. Unified network parameter configuration may not always achieve novel performance when traffic loads are burst and varying in different scenarios, such as high population density areas, emergencies, and high-speed mobility [22,23]. In this paper, taking the perspective of a telecommunication operator, we propose a framework of network feature analysis and configuration refinement for cellular networks. The significant indicators of high traffic load cells are identified and associated with performance metrics According to these indicators, we propose different configuration refinement polices that are discussed in detail in several typical scenarios, such as high population density, emergencies, and high-speed mobility. We analyze the traffic load feature by the proposed analysis framework and provide sets of solutions to improve the user experience and network performance. The web and the application service are offered to display and to configure the network parameters
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