An Optimized Fast Handover Scheme Based on Distributed Antenna System for High-Speed Railway

2017 ◽  
Author(s):  
Wael Ali ◽  
Junyuan Wang ◽  
Huiling Zhu ◽  
Jiangzhou Wang
Keyword(s):  
High Speed ◽  
Antenna System ◽  
Fast Handover ◽  
High Speed Railway ◽  
Distributed Antenna System ◽  
Distributed Antenna ◽  
Handover Scheme

WDM RoF-MMW and linearly located distributed antenna system for future high-speed railway communications

2015 ◽  
Vol 53 (10) ◽  
pp. 86-94 ◽  
Author(s):  
Pham Tien Dat ◽  
Atsushi Kanno ◽  
Naokatsu Yamamoto ◽  
Testuya Kawanishi
Keyword(s):  
High Speed ◽  
Antenna System ◽  
High Speed Railway ◽  
Distributed Antenna System ◽  
Distributed Antenna

scholarly journals Planning Optimization of the Distributed Antenna System in High-Speed Railway Communication Network Based on Improved Cuckoo Search

2018 ◽  
Vol 2018 ◽  
pp. 1-14
Author(s):  
Zhaoyu Chen ◽  
Yanheng Liu ◽  
Geng Sun ◽  
Xu Zhou ◽  
Boyu Li ◽  
...  
Keyword(s):  
Communication Networks ◽  
High Speed ◽  
Search Algorithm ◽  
Network Planning ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Antenna System ◽  
High Speed Railway ◽  
Distributed Antenna System ◽  
Distributed Antenna

The network planning is a key factor that directly affects the performance of the wireless networks. Distributed antenna system (DAS) is an effective strategy for the network planning. This paper investigates the antenna deployment in a DAS for the high-speed railway communication networks and formulates an optimization problem which is NP-hard for achieving the optimal deployment of the antennas in the DAS. To solve this problem, a scheme based on an improved cuckoo search based on dimension cells (ICSDC) algorithm is proposed. ICSDC introduces the dimension cell mechanism to avoid the internal dimension interferences in order to improve the performance of the algorithm. Simulation results show that the proposed ICSDC-based scheme obtains a lower network cost compared with the uniform network planning method. Moreover, ICSDC algorithm has better performance in terms of the convergence rate and accuracy compared with the conventional cuckoo search algorithm, the particle swarm optimization, and the firefly algorithm.

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