Enhanced Multi-mode Transmission by User Scheduling in MISO Broadcast Channels with Finite-Rate Feedback

Xu, Wei; Dong, Xiaodai

doi:10.1007/s11277-011-0230-x

Cited by 7 publications

(1 citation statement)

References 26 publications

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“…Some authors research the scheduling strategies based on specific network, like CAN [9,10], wireless network [12], and fiber optic network [13]. Some authors research the general scheduling strategies for broadcast network [14,15,16,17,18,19]. The existing research work mainly focuses on the scheduling strategy in a specific network system at a microcosmic view.…”

Section: Introductionmentioning

confidence: 99%

Optimized Information Transmission Scheduling Strategy Oriented to Advanced Metering Infrastructure

Tong

Jin²,

2013

JNW

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Advanced metering infrastructure (AMI) is considered to be the first step in constructing smart grid. AMI allows customers to make real-time choices about power utilization and enables power utilities to increase the effectiveness of the regional power grids by managing demand load during peak times and reducing unneeded power generation. These initiatives rely heavily on the prompt information transmission inside AMI. Aiming at the information transmission problem, this paper researches the communication scheduling strategy in AMI at a macroscopic view. First, the information flow of AMI is analyzed, and the power users are classified into several grades by their importance. Then, the defect of conventional information transmission scheduling strategy is analyzed. On this basis, two optimized scheduling strategies are proposed. In the wide area, an optimized scheduling strategy based on user importance and time critical is proposed to guarantee the important power users’ information transmission being handled promptly. In the local area, an optimized scheduling strategy based on device and information importance and time critical is proposed to guarantee the important devices and information in AMI user end system being handled promptly. At last, the two optimized scheduling strategies are simulated. The simulation results show that they can effectively improve the real-time performance and reliability of AMI information transmission

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