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.

Abstract-Future wireless indoor scenarios are expected to be complex requiring wireless nodes to adaptive responding to dynamic changes according to channel conditions. Interacting with neighboring nodes to achieve optimized performance in term of date-rates, distance and BER performance are the main concerns of designing future wireless solutions. IR-UWB came to the picture as the missing Puzzle to achieve these requirements and gluing the different wireless indoor existing infrastructures in global platform solutions. This paper shows the flexibility of IR-UWB in signal design at the physical layer level as cross-layer architecture of optimized performance. A detailed performance analysis presented in this paper as a mathematical model of the proposed wireless solution and described in proposed link budget design template. The performance evaluation is carried-on to show the proposed system as a good candidate in different wireless scenarios for different data-rate requirements, distance for specific requirement BER. Simulations results and well as experimental statistical analysis of the received signal under different channel models and conditions are carried-out as a proof of concept of the proposed system.

Recently, many studies propose the use of ultra-wideband technology for passive and active radio frequency identification systems as well as for wireless sensor networks due to its numerous advantages. By harvesting these advantages of IR-UWB technology at the physical-layer design, this paper proposes that a cross layer architecture platform can be considered as a good integrator for different wireless short-ranges indoor protocols into a universal smart wireless-tagged architecture with new promising applications in cognitive radio for future applications. Adaptive transmission algorithms have been studied to show the trade-off between different specific QoS requirements, transmission rates and distances at the physical layer level and this type of dynamic optimization and reconfiguration leads to the cross-layer design proposal in the paper. Studies from both theoretical simulation and statistical indoor environments experiments are considered as a proof of concept for the proposed architecture.

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