Motivated by alleviating CO 2 pollution, electric vehicle (EV)-based applications have recently received wide interests from both commercial and research communities by using electric energy instead of traditional fuel energy. Although EVs are inherently with limited traveling distance, such limitation could be overcome by deploying public charging stations (CSs) to recharge EVs' battery during their journeys. In this paper we propose a novel communication framework for on-the-move EV charging scenario, based on the Publish/Subscribe (P/S) mechanism for disseminating necessary CS information to EVs, in order for them to make optimized decisions on where to charge. A core part of our communication framework is the utilization of roadside units (RSUs) to bridge the information flow from CSs to EVs, which has been regarded as a type of cost-efficient communication infrastructure. Under this design, we introduce two complementary communication modes of signal protocols, namely, push and pull modes, in order to enable the required information dissemination operation. Both analysis and simulation show the advantage of the pull mode, in which the information is cached at RSUs to support asynchronous communication. We further propose a remote reservation service based on the pull mode such that the CS-selection decision making can utilize the knowledge of EVs' charging reservation, as published from EVs through RSUs to CSs. Results show that both performances at CS and EV sides are further improved based on using this anticipated information.Index Terms-Electric vehicle (EV), publish/subscribe (P/S), smart grid, wireless communication, wireless networks.

Abstract-The evolution toward emerging active distribution networks (ADNs) can be realized via a real-time state estimation (RTSE) application facilitated by the use of phasor measurement units (PMUs). A critical challenge in deploying PMU-based RTSE applications at large scale is the lack of a scalable and flexible communication infrastructure for the timely (i.e., sub-second) delivery of the high volume of synchronized and continuous synchrophasor measurements. We address this challenge by introducing a communication platform called C-DAX based on the information-centric networking (ICN) concept. With a topicbased publish-subscribe engine that decouples data producers and consumers in time and space, C-DAX enables efficient synchrophasor measurement delivery, as well as flexible and scalable (re)configuration of PMU data communication for seamless full observability of power conditions in complex and dynamic scenarios. Based on the derived set of requirements for supporting PMU-based RTSE in ADNs, we design the ICN-based C-DAX communication platform, together with a joint optimized physical network resource provisioning strategy, in order to enable the agile PMU data communications in near real-time. In this paper, C-DAX is validated via a field trial implementation deployed over a sample feeder in a real-distribution network; it is also evaluated through simulation-based experiments using a large set of real medium voltage grid topologies currently operating live in The Netherlands. This is the first work that applies emerging communication paradigms, such as ICN, to smart grids while

Electric Vehicle (EV) based applications have recently received wide interests from both commercial and research communities, thanks to the avoidance of C02 pollution by using electric energy instead of traditional fuel energy. With the deployment of public Charging Stations (CSs), the travelling distance of EVs could be substantially increased by recharging their electric energy during journeys. Different from the existing research on decision making to improve charging performance, in this paper we focus on how necessary dynamic information in relation to the charging service can be efficiently disseminated to on-the-move EVs which potentially require charging at CSs.We propose an efficient communication framework based on Publish/Subscribe (PIS) mechanism to disseminate necessary information of CSs to EVs. Those EVs subscribing to such information could then make their individual decisions to select a desired CS for charging, according to received information such as expected waiting time. A core part of communication framework is the utilization of Road Side Units (RSUs) to bridge the information 80w from CSs to EVs, which has been regarded as a type of cost-efficient communication infrastructure.In this context, we introduce two complementary communication modes, namely Push and Pull Modes, in order to enable the required information dissemination operation. Both options are evaluated based on realistic simulation models, in particular on how information freshness can influence the overall charging performance based on a common CS selection strategy.

A major challenge in future mobile networks is how to fulfil the requirements set for 5G networks in terms of latency and throughput. 3GPP has defined a new architecture based on virtualization and Software Defined Networks (SDN) supporting network slices that can fulfil those requirements. In this paper, we present the first realization of the new 5G user plane function (UPF) component that supports SDN and provides optimized transport for reducing latency as required in 5G networks. The proposed UPF is the cornerstone for using different data transport strategies adapted to the needs of different verticals, such as Ultra Reliable Low Latency Communications (URLLC) services that require a separate network slice providing an optimized transport for URLLC applications. The paper also discusses how to best migrate from legacy 4G user plane to 5G UPF, so as to ensure a reasonable transition to 5G. In doing so, the objective is not to meet shortterm needs but to fulfill the future latency and throughput requirements of emerging applications, and also to provide first performance results of UPF in a realistic testbed environment. 1

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