The operation condition of wireless system directly impacts both the system performance and the quality of experience (QoE). On the basis of telecom operator data, this paper designs a comprehensive operation and revenue analysis (CORA) algorithm for LTE/5G wireless system. The objective of the proposed CORA algorithm is to analyze and evaluate both the operation state and the revenue of base station (BS) in the wireless system. The designed CORA algorithm is applied in the realistic 4G wireless system. The CORA algorithm can assist telecom operator to effectively analyze and evaluate the BS comprehensive state of operation and revenue.

A Comprehensive Operation and Revenue Analysis Algorithm for LTE/5G Wireless System Based on Telecom Operator Data

In recent years, the LTE/5G mobile networks operation and telecom services lead to the explosion of telecom big data. Since telecom big data stores valuable information, this paper researches on telecom big data and further designs a telecom big data platform, in order to effectively utilizing telecom big data resources for the application. The designed platform consists of five layers, including telecom data sources layer, telecom data integration layer, telecom data storage and calculation layer, operation and management layer, telecom data application layer. Based on this telecom big data platform, we design both the cell judgment system and the telecom customer analysis system, which are further applied in the local telecom operators.

Research on Telecom Big Data Platform of LTE/5G Mobile Networks

Due to the diverse services and high rate requirements of telecom users, mobile cellular systems envisage the challenges of high resource usage, especially the base station (BS) in the hot-spot area. This paper investigates on telecom big data of LTE/5G systems, and then we design a telecom big data assisted comprehensive BS resource analysis (CBSRA) algorithm. CBSRA algorithm considers six categories of resource data/indicators. Then, CBSRA algorithm judges the usage level of each indicator. Finally, CBSRA algorithm takes the comprehensive analysis and outputs the results. We implement the CBSRA algorithm in a realistic cellular system in China, and the proposed algorithm can assist operator to effectively detect BS with high resource usage.

Telecom Big Data Assisted BS Resource Analysis for LTE/5G Systems

In recent years, telecom operator builds mobile networks infrastructure worldwide, as well as deploys a series of relevant systems/platforms to management the mobile networks and telecom customers. These systems/platforms can generate a huge amount of data resources. In order to effectively access these systems/platforms and make use of the valuable data resources, this paper designs a novel multi-source heterogeneous data (MSHD) system for telecom operator. The MSHD system contains data access module, data pre-processing module, data storage and management module, data application and visualization module. The MSHD system can assist telecom internal application as well as the vertical industry application.

Architecture and Technology of Multi-Source Heterogeneous Data System for Telecom Operator

Information technology development leads to the data explosion in many industries. In the era of big data, telecom operator stores huge amount of data, namely telecom big data. Telecom operator can employ data mining and analysis to seek the valuable information from telecom big data. In this paper, we design a novel big data assisted analysis architecture for telecom operator. The proposed architecture collects operation support system data and business support system data of telecom operator. Based on these data, the architecture draws the portrait of each user. Then, the user trajectory is analyzed. Furthermore, the proposed architecture takes the service behavior analysis. Finally, we apply the proposed big data assisted analysis architecture to the local telecom operator.

A Novel Big Data Assisted Analysis Architecture for Telecom Operator

User perception is the key for telecom operators. In order to keep good user perception, telecom operators employ network optimization and construction. In this paper, a novel user perception aware network management (UPNM) algorithm is designed for LTE/LTE-Advanced cellular networks. Initially, UPNM algorithm integrates a series of telecom data, which relates to users and cellular networks. On the basis of data, user perception is analyzed to find the cells with low quality of service (QoS). Then, UPNM algorithm analyzes the network interference and coverage and takes methods to deal with the interference and coverage problem. Finally, both the cell total service and capacity are analyzed, in order to manage the network capacity. We implement the proposed UPNM algorithm to the realistic cellular systems in a Chinese city. The UPNM algorithm can help telecom operators manage the mobile cellular networks.

Baisong Ren

Papers

User Perception Aware Telecom Data Mining and Network Management for LTE/LTE-Advanced Networks