Research on high speed rail broadband communication resource management algorithm based on Cloud Computing

2021 ◽  
Author(s):  
Li Liu ◽  
Wei Liu ◽  
Kaiqin Peng
2021 ◽  
Vol 67 (2) ◽  
pp. 2647-2663
Author(s):  
Sohan Kumar Pande ◽  
Sanjaya Kumar Panda ◽  
Satyabrata Das ◽  
Kshira Sagar Sahoo ◽  
Ashish Kr. Luhach ◽  
...  

IEEE Network ◽  
2018 ◽  
Vol 32 (3) ◽  
pp. 64-71 ◽  
Author(s):  
Ping Dong ◽  
Tao Zheng ◽  
Xiaojiang Du ◽  
Hongke Zhang ◽  
Mohsen Guizani

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Jing Shi ◽  
Qiyuan Peng ◽  
Ling Liu

2018 ◽  
Vol 8 (3) ◽  
pp. 515-530
Author(s):  
Massimo Zucchetti1,2 ◽  
◽  
Keyword(s):  

2019 ◽  
Author(s):  
Valentina Bracaglia ◽  
Tiziana D'Alfonso ◽  
Alberto Nastasi ◽  
Dian Sheng ◽  
Yulai Wan ◽  
...  

2020 ◽  
Vol 46 (3) ◽  
pp. 379-397
Author(s):  
Chunyang Wang

This paper measures the spatial evolution of urban agglomerations to understand be er the impact of high-speed rail (HSR) construction, based on panel data from fi ve major urban agglomerations in China for the period 2004–2015. It is found that there are signi ficant regional diff erences of HSR impacts. The construction of HSR has promoted population and economic diff usion in two advanced urban agglomerations, namely the Yang e River Delta and Pearl River Delta, while promoting population and economic concentration in two relatively less advanced urban agglomerations, e.g. the middle reaches of the Yang e River and Chengdu–Chongqing. In terms of city size, HSR promotes the economic proliferation of large cities and the economic concentration of small and medium-sized cities along its routes. HSR networking has provided a new impetus for restructuring urban spatial systems. Every region should optimize the industrial division with strategic functions of urban agglomeration according to local conditions and accelerate the construction of inter-city intra-regional transport network to maximize the eff ects of high-speed rail across a large regional territory.


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