Author:
Asad Syed Muhammad,Tahir Ahsen,Rais Rao Naveed Bin,Ansari Shuja,Abubakar Attai Ibrahim,Hussain Sajjad,Abbasi Qammer H.,Imran Muhammad Ali
Abstract
The integration of Private Mobile Networks (PMN) with edge intelligence is expected to play an instrumental role in realizing the next generation of industry applications. This combination collectively termed Intelligent Private Networks (IPN) deployed within the scope of specific industries such as transport systems can unlock several use cases and critical applications that in turn can address rising business demands. This article presents a conceptual IPN that hosts intelligence at the network edge employing emerging technologies that satisfy a number of Next-Generation Railway System (NGRS) applications. NGRS use cases along with their applications and respective beyond 5G (B5G) enabling technologies have been discussed along with possible future research and development directions that will allow these promising technologies to be used and implemented widely.
Funder
Engineering and Physical Sciences Research Council
Reference37 articles.
1. Concept of Cost Efficient Smart Cctv Network for Cities in Developing Country;Akbar,2018
2. On the Design and Deployment of Multitier Heterogeneous and Adaptive Vehicular Networks;Ansari,2018
3. Mobility Prediction-Based Optimisation and Encryption of Passenger Traffic-Flows Using Machine Learning;Asad;Sensors
4. Mobility Management-Based Autonomous Energy-Aware Framework Using Machine Learning Approach in Dense mobile Networks;Asad;Signals
5. Travelers-tracing and Mobility Profiling Using Machine Learning in Railway Systems;Asad
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献