Optimizing MPBSM Resource Allocation Based on Revenue Management: A China Mobile Sichuan Case

Author:

Chen Xu1

Affiliation:

1. School of Management and Economics, University of Electronic Science and Technology of China, Chengdu 611731, China

Abstract

The key to determining the network service level of telecom operators is resource allocation for mobile phone base station maintenance (MPBSM). Given intense market competition and higher consumer requirements for network service levels, an increasing proportion of resources have been allocated to MPBSM. Maintenance costs account for the rising fraction of direct costs, and the management of MPBSM resource allocation presents special challenges to telecom operators. China Mobile is the largest telecom operator in the world. Its subsidiary, China Mobile Sichuan, is the first in China to use revenue management in improving MPBSM resource allocation. On the basis of comprehensive revenue (including both economic revenue and social revenue), the subsidiary established a classification model of its base stations. The model scientifically classifies more than 25,000 base stations according to comprehensive revenue. China Mobile Sichuan also conducted differentiation allocation of MPBSM resources on the basis of the classification results. Furthermore, it optimized the assessment system of the telecom base stations to establish an assurance system for the use of MPBSM resources. After half-year implementation, the cell availability of both VIP base stations and total base stations significantly improved. The optimization also reduced economic losses to RMB 10.134 million, and enhanced customer satisfaction with network service by 3.2%.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

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1. Parametric Approach of Designing Electrical System for Grid Connected Telco Base Station Consisting of Generator and Battery Bank;2023 Moratuwa Engineering Research Conference (MERCon);2023-11-09

2. An Experiment to Design an Operation and Maintenance System Integrating Apriori Association Rules for a Telecom Platform;Wireless Communications and Mobile Computing;2021-09-30

3. Data Analysis Algorithms for Revenue Assurance;Communications in Computer and Information Science;2019

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