Integration Facilitation of Scheduling Algorithms in the Smart Grid Communications over 4G Networks

Abstract

Abstract-The smart grid is a promising technology of the next-generation electrical systems which involves wireless networks. Such Long Term Evolution (LTE), which has been proposed and developed by the 3rd Generation Partnership Project (3GPP), is expected to be a preferable technology due to its high data rate and low delay. Due to the fact that smart grid requires real-time communications, scheduling mechanism becomes more important since it distributes the available resources to the users taking into account channel status and the Quality of Services (QoS) requirements. However, LTE has not been proposed for smart grid communications so that scheduling algorithms which implemented in LTE network must be evaluated accordingly before integrated in the smart grid communications. This paper evaluates the performance of three scheduling algorithms in the smart grid for both real-time applications and non-real time applications as well. Moreover, the performance is evaluated in terms of delay, throughput and fairness index. In addition, this paper desires to facilitate the integration scheduling process in the smart grid communications.

A Scheduling Algorithm Based Self-Learning Technique for Smart Grid Communications over 4G Networks

“…is the total number of packets arrived for user k and k is the total number of active users. a, b and c represent the weights of RT, NRT and BE respectively as in (6).…”

“…In concept, there is no single wireless network that can serve the entire smart grid applications [5]. LTE network is expected to be an appropriate wireless technology for next generation of the electrical grid, because it demonstrates high performance, security, data rates and low latency [6]. Scheduling plays a crucial role in the smart grid communications, because it is in charge of the resources allocation process.…”