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Book ChapterDOI

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

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TLDR
A novel user perception aware network management algorithm is designed for LTE/LTE-Advanced cellular networks and implemented to the realistic cellular systems in a Chinese city to help telecom operators manage the mobile cellular networks.
Abstract
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.

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

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

TL;DR: A telecom big data platform is designed, which designs both the cell judgment system and the telecom customer analysis system, which are further applied in the local telecom operators.
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Telecom Big Data Assisted BS Resource Analysis for LTE/5G Systems

TL;DR: The proposed CBSRA algorithm can assist operator to effectively detect BS with high resource usage and can assist telecom big data assisted comprehensive BS resource analysis (CBSRA) algorithm.
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Architecture and Technology of Multi-Source Heterogeneous Data System for Telecom Operator

TL;DR: In this paper, a multi-source heterogeneous data (MSHD) system for telecom operator is proposed, which contains data access module, data pre-processing module and data storage and management module.
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A Novel Big Data Assisted Analysis Architecture for Telecom Operator

TL;DR: A novel big data assisted analysis architecture for telecom operator that draws the portrait of each user based on the data collected and the user trajectory is analyzed.
References
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Journal ArticleDOI

Telecom Big Data Based User Offloading Self-Optimisation in Heterogeneous Relay Cellular Systems

TL;DR: Simulation results show the TBDUOS scheme can effectively reduce the handover failure and call dropping of specific users, especially voice/stream users, high consumption Users, high level users, and the blocking probability is reduced.
Proceedings ArticleDOI

Mobility load balancing aware radio resource allocation scheme for LTE-Advanced cellular networks

TL;DR: Simulation results show that the proposed MLBRRA scheme can effectively deal with the poor link quality problem in terms of handover failure and call dropping, and can also reduce the call blocking probability.
Journal ArticleDOI

A Trajectory-Driven Opportunistic Routing Protocol for VCPS

TL;DR: Performance evaluation results show TDOR outperforms well-known opportunistic geographic routing protocols, and achieves much lower routing overhead for comparable delivery ratio, and is more immune to disruptions.
Proceedings ArticleDOI

User-vote assisted self-organizing load balancing for OFDMA cellular systems

TL;DR: A cluster based self-organizing LB scheme, which employs a user-vote mechanism to avoid the ‘virtual partner’ problem experienced by current LB schemes with the load-based partner selection, is proposed.
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