Delay Guaranteed Network Association for Mobile Machines in Heterogeneous Cloud Radio Access Network

2018 ◽  
Vol 17 (12) ◽  
pp. 2744-2760 ◽  
Author(s):  
Shao-Chou Hung ◽  
Hsiang Hsu ◽  
Shin-Ming Cheng ◽  
Qimei Cui ◽  
Kwang-Cheng Chen
Keyword(s):  
Access Network ◽  
Radio Access Network ◽  
Cloud Radio Access Network ◽  
Radio Access ◽  
Heterogeneous Cloud

scholarly journals Energy Efficiency and Capacity Tradeoff in Cloud Radio Access Network of High-Speed Railways

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Shichao Li ◽  
Gang Zhu ◽  
Siyu Lin ◽  
Qian Gao ◽  
Lei Xiong ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Power Allocation ◽  
Communication System ◽  
High Speed ◽  
Access Network ◽  
Small Scale ◽  
Delay Constraint ◽  
Radio Access Network ◽  
Cloud Radio Access Network ◽  
Radio Access

To meet the increasing demand of high-data-rate services of high-speed railway (HSR) passengers, cloud radio access network (C-RAN) is proposed. This paper investigates the tradeoff between energy efficiency (EE) performance and capacity in C-RAN of HSR. Considering that the train location can be predicted, we propose a predictable path loss based time domain power allocation method (PPTPA) to improve EE performance of HSR communication system. First, we consider that the communication system of HSR only bears the passenger information services (PISs). The energy-efficient power allocation problem with delay constraint is studied. The formulated problem is nonconvex. To deal with it, an equivalent convex problem is reformulated. Based on PPTPA, we propose an iterative algorithm to improve the EE performance. Second, we consider that the PISs and the train control services (TCSs) are all bore. A capacity optimization problem with joint EE and services transmission delay constraints is formulated. Based on PPTPA, we propose a hybrid power allocation scheme to improve the capacity of the system. Finally, we analyze the effect of small-scale fading on EE performance. The effectiveness of the proposed power allocation algorithm is validated by HSR channel measurement trace based emulation results and extensive simulation results.

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