Abstract
In this paper pilot based channel estimation is being considered for broadband power line communication (BPLC) networks witch used orthogonal frequency division multiplexing (OFDM) in order to transmit high rate data. To estimate channel in time or frequency some pilot must be used. Number of these pilots and deployment of them is very important for proper estimation in different channel with varying time and frequency. Carrier sense multiple access (CSMA) and hybrid multiple access protocol are taken into consideration in MAC sub-layer. Multilayered perceptions neural network with backpropagation (BP) learning channel estimator algorithm with different pilot deployment compare to classic algorithm in for channel estimating. Simulation results show the proposed neural network estimation decreases bit error rate and therefore network throughput increases.
Highlights
Driven by global push to enhanced energy management the development of smart grid technology is being fueled by a powerful combination of utility industry initiative and consumer demand for lower energy costs
In this paper pilot based channel estimation is being considered for broadband power line communication (BPLC) networks witch used orthogonal frequency division multiplexing (OFDM) in order to transmit high rate data
Carrier sense multiple access (CSMA) and hybrid multiple access protocol are taken into consideration in MAC sub-layer
Summary
Driven by global push to enhanced energy management the development of smart grid technology is being fueled by a powerful combination of utility industry initiative and consumer demand for lower energy costs. Technological progress of access networks to bring broadband services is increasing very fast recently, but high speed data transmission over power lines is still real challenge for communication engineers. OFDM is a digital multi-carrier modulation scheme, which uses a large number of closely-spaced orthogonal sub-carriers that is suitable for frequency selective channels and high data rates [1,2]. In this paper different deployment of pilot based channel estimating are discussed. One of these deployments that send predefined pilot and send data is discussed in [1]. Having no problem with power supply and data processing in BPLC networks, bring this benefit that we use more and more adaptive method such as NN method for estimate BPLC channels everywhere. Bold letters are chosen for notation of matrix and vector variables
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