Dynamic Resource Allocation Algorithm Based on Queue Management in High-Speed Railway Communication Networks

With the rapid development of railway transportation, railway communication is particularly important. In addition to meeting the communication needs of train control, it also guarantees the communication quality of passengers on board. In order to solve the problem of low utilization of spectrum re...

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Vydané v:International Wireless Communications and Mobile Computing Conference (Online) s. 1405 - 1411
Hlavní autori: Chen, Zan, Sheng, Jie, Tang, Ziwen, Wu, Qian, Wu, Cheng, Wang, Yiming
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 28.06.2021
Predmet:
Base stations
Cognitive Base Station
Cognitive Radio Network
Delays
Dynamic scheduling
Heuristic algorithms
Kalman Filter
Railway communication
Real-time systems
Resource Allocation
Transportation
ISSN:2376-6506
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Popis
Shrnutí:With the rapid development of railway transportation, railway communication is particularly important. In addition to meeting the communication needs of train control, it also guarantees the communication quality of passengers on board. In order to solve the problem of low utilization of spectrum resources in the special railway communication network, a spectrum sharing special railway network communication scheme based on the special railway communication network architecture and cognitive radio technology was put forward this paper. Furthermore, in order to improve the fairness of cognitive base station services, we proposed a secondary user queue management strategy based on Kalman Filter Prediction model to realize dynamic resource allocation. On the premise of satisfying the demand of real-time service for queuing delay, the cognitive base station adjusts the service rate of real-time service according to the predicted changes in the queue length, so as to minimize the queuing delay of NRT service. Finally, the simulation results show that the proposed method can reduce the queuing delay of NRT services, effectively improve the fairness of the cognitive base station services, and ensure the efficient utilization of the limited spectrum resources.
ISSN:2376-6506
DOI:10.1109/IWCMC51323.2021.9498646