A 5G urban computing framework service model / Um modelo de serviço da estrutura de computação urbana 5G

This paper is about a fifth generation (5G) network technology structure model that is a facilitator that can provide new services to several segments in smart cities. It was verified that applications in smart cities include citizens and pervasive devices interaction which requires continuous monitoring to provide collaborative support and to raise environmental awareness. In order to implement the expected goals from the 5G ecosystem, this model incorporates software defined network and virtualized controllers to support new services. Examples of smart city services are traffic efficiency, security, surveillance, localization, healthcare services, infrastructure support among others. Any of these services will be able to get information from their users and from the network through our model, once an important issue in smart city is the challenge to collect or deliver useful and processed data to stakeholders. In this proposal, the evaluation of the model was conducted through emulations on Mininet and POX controllers. The results were analyzed using the Gephi tool, and they have demonstrated that the proposed model is applicable to support and provide new services such as intelligent transportation, road monitoring, energy consumption, public safety among others in smart cities

Side Channel Attack-Aware Resource Allocation for URLLC and eMBB Slices in 5G RAN

Network slicing is a key enabling technology to realize the provisioning of customized services in 5G paradigm. Due to logical isolation instead of physical isolation, network slicing is facing a series of security issues. Side Channel Attack (SCA) is a typical attack for slices that share resources in the same hardware. Considering the risk of SCA among slices, this paper investigates how to effectively allocate heterogeneous resources for the slices under their different security requirements. Then, a SCA-aware Resource Allocation (SCA-RA) algorithm is proposed for Ultra-reliable and Low-latency Communications (URLLC) and Enhanced Mobile Broadband (eMBB) slices in 5G RAN. The objective is to maximize the number of slices accommodated in 5G RAN. With dynamic slice requests, simulation is conducted to evaluate the performance of the proposed algorithm in two different network scenarios. Simulation results indicate that compared with benchmark, SCA-RA algorithm can effectively reduce blocking probability of slice requests. In addition, the usage of IT and transport resources is also optimized