Vertical Industries Requirements Analysis & Targeted KPIs for Advanced 5G Trials

Just before the commercial roll out of European 5G networks, 5G trials in realistic environments have been recently initiated all around Europe, as pat of the Phase 3 projects of 5GPPP H2020 program [1]. The goal is to showcase 5G's capabilities and to convince stakeholders about its value adding business potential. The approach is to offer advanced 5G connectivity to real vertical industries and showcase how it enables them to overcome existing 4G network limitations and other long standing issues. The 5G EVE H2020 5GPPP project [2] offers cutting edge 5G end to end facilities (in 4 countries) to diversified vertical industry experimenters. The objective is to understand the needs of prominent industries across Europe and to offer tailor made 5G experience to each and every one of them. This paper contributes to the understanding of vertical services' needs, by offering a thorough and concise vertical requirements analysis methodology, including an examination of the 4G limitations. It also provides real life values for the targeted KPIs of three vertical sectors namely, Smart Industry (4.0), Smart Cities / Health and Smart Energy, while assisting market roll out by prioritizing their connectivity needs.Comment: EuCNC 201

Considerations for IP Interconnection of Power Grid Components

The foreseen capabilities of 5G, such as reliable and robust handling of data management can be commonly utilized by different sectors. The Electricity sector has remained for many years a stable industry using the same operational and maintenance regimes and dependable infrastructure. The need to integrate communication network domains in the Smart Grids context with 5G is considered as the next generation regarding power grids, and it is bidirectional as far as electricity and information is concerned, aiming to create a widely distributed automated energy delivery network (as in [1]). In this paper, a Communication-as-a-Service scenario is presented as a proposal of a telecom operator in order to “address” scalability, security and interoperability that a Smart grid network requires, by using communication solutions provided by 5G

Considerations for IP Interconnection of Power Grid Components

The foreseen capabilities of 5G, such as reliable and robust handling of data management can be commonly utilized by different sectors. The Electricity sector has remained for many years a stable industry using the same operational and maintenance regimes and dependable infrastructure. The need to integrate communication network domains in the Smart Grids context with 5G is considered as the next generation regarding power grids, and it is bidirectional as far as electricity and information is concerned, aiming to create a widely distributed automated energy delivery network (as in [1]). In this paper, a Communication-as-a-Service scenario is presented as a proposal of a telecom operator in order to “address” scalability, security and interoperability that a Smart grid network requires, by using communication solutions provided by 5G

Demand-Response Round-Trip Latency of IoT Smart Grid Network Topologies

Smart grids are the next generation of power distribution network, using information and communications technologies to increase overall energy efficiency and service quality of the power grid. One big challenge in building a smart grid is the fast growing amount of smart devices and how to meet the associated load on the backbone communication infrastructure. This paper designs an Internet-of-Things (IoT) Smart Grid testbed simulator and uses it to provide crucial insight into the communication network optimisation. Simulation for a large number of smart devices under various heterogenous network topologies is used to analyse the maximum number of clients that can be supported for a given demand-response latency requirement. Consideration is given to simulator processing time in the final delay calculation, which also includes all protocol overheads, retransmissions and traffic congestion. For a specific three-tier topology, given a round-trip latency requirement, investigations are carried out on the number of smart devices that a local hub can support, and with a fixed number of smart devices, the number of local hubs that a central server can support

On Statistical Power Grid Observability under Communication Constraints

Phasor Measurement Units (PMUs) have enabled real-time power grid monitoring and control applications realizing an integrated power grid and communication system. The communication network formed by PMUs has strict latency requirements. If PMU measurements cannot reach the control centre within the latency bound, they will be invalid for calculation and may compromise the observability of the whole power grid as well as related applications. To address this issue, this study proposes a model to account for the power grid observability under communication constraints, where effective capacity is adopted to perform a cross-layer statistical analysis in the communication system. Based on this model, three algorithms are proposed for improving power grid observability, which are an observability redundancy algorithm, an observability sensitivity algorithm and an observability probability algorithm. These three algorithms aim at enhancing the power system observability via the optimal communication resource allocation for a given grid infrastructure. Case studies show that the proposed algorithms can improve the power system performance under constrained wireless communication resources