Abstract. GFSK modulation is an wireless communication standard for the purpose of Automatic Meter Reading (AMR) in smart grid. This paper presents the implementation of GFSK digital receiver based on CORDIC algorithm. The receiver is made up of the frequency offset estimation, frequency compensation, bit synchronization and demodulation modules. The digital receiver is equipped with two identical baseband signal processing branches, in which a large carrier frequency offset can be accommodated.
Noise is one of the most main factors that affect the reliability of the power line communication; its time-varying characteristic is very strong, so noise acquisition and efficient storage is a must. But now, the noise sampling rate is too high, only a few hours, the amount of data storage may reach T level, in this way cost is too high. This article presents a noise compression storage method, which can effectively compress noise collected from the different time and location, in this way we can greatly reduce the data storage; it will provide a lot of help to the noise analysis and testing in the laboratory later.
The network of smart grid communications (SGC) is expected to be heterogeneous for providing diverse access interfaces. Load balancing is one of the key technologies in such heterogeneous networks, which can increase the system throughput as well as quality of service (QoS). In this paper, a context-aware load-balancing scheme is proposed for SGC networks by virtue of an adaptive trigger threshold. We investigate the characteristics of different kinds of services in the wireless local access network (WLAN) and Long Term Evolution (LTE). Simulation results show that our proposed load balance algorithm achieves better fairness and thus improves the overall throughput.
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