Telecom Big Data Based User Offloading Self-Optimisation in Heterogeneous Relay Cellular Systems-Reference-Cited by-同舟云学术

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

Published:2017-04 Issue:2 Volume:8 Page:27-46
ISSN:1947-3532
Container-title:International Journal of Distributed Systems and Technologies
language:en
Short-container-title:

Author:

Xu Lexi¹,Luan Yuting²,Cheng Xinzhou³,Fan Yifeng⁴,Zhang Haijun⁵,Wang Weidong⁶,He Anqi⁷

Affiliation:

1. China Unicom Network Technology Research Institute, Beijing, China & Queen Mary University of London, London, United Kingdom

2. The Third Railway Survey and Design Institute Group Corporation, Shenyang, China

3. China Unicom Network Technology Research Institute, Beijing, China

4. Southeast University, Nanjing, China & Queen Mary University of London, London, United Kingdom

5. University of Science and Technology Beijing, Beijing, China

6. Beijing University of Posts and Telecommunications, Beijing, China

7. Queen Mary University of London, London, United Kingdom

Abstract

This paper proposes a telecom big data based user offloading self-optimisation (TBDUOS) scheme. Its aim is to assist telecom operators to effectively balancing the load distribution with achieving good service performance and customer management in heterogeneous relay cellular systems. To achieve these objectives, in the cell-level offloaded traffic analysis stage, the optimal offloaded traffic is calculated to minimise the total blocking probability. In the user-level offloading stage, the user portrait is drawn and the K-MEANS algorithm is employed to manage the users clustering in the heavily loaded cell, and finally shifting users to assistant cells. 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. The TBDUOS scheme can also reduce the blocking probability.

Publisher

IGI Global

Subject

Computer Networks and Communications,Hardware and Architecture

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