MAC Sub-Layer Analysis with Channel Estimation in Broadband Power Line Communication
- 1
- 2
Abstract
Broadband power line communication (BPLC) gained a lot of interest because of low cost and high performance communication network in access area. In this paper physical (PHY) layer and medium access control (MAC) sub-layer of BPLC are considered. Furthermore, effects of bit error rate (BER) are analyzed in MAC sub-layer. Powerful turbo convolutional code (TCC) and wideband orthogonal frequency division multiplexing (OFDM) are used in PHY layer. Carrier sense multiple access (CSMA) and virtual slot multiple access (VSMA) are taken into consideration in MAC sub-layer. Multilayered perceptrons neural network with backpropagation (BP) learning channel estimator algorithm compare to classic algorithm in for channel estimating. The simulation results show that the proposed neural network estimation decreases bit error rate then in MAC sub-layer throughput increases and access delay is decreased.
- A. Jeremic, T. A. Thomas and A. Nehorai, “OFDM Channel Estimation in the Presence of Interference,” IEEE Transactions Signal Processing, Vol. 52, No. 12, 2004, pp. 3429-3439.
- Y.-H. Kim, S.-C. Kim and H. Myong Oh, “OFDM Receiver Performance Analysis with Measured Power Line Channel Model for Coded OFDM System, Power Line Communications and Its Applications,” 2005 International Symposium on Digital Object Identifier, Vancouver, 23-26 May 2005, pp. 201-205. DOI: 10.1109/ISPLC.2005.1430496
- Y.-H. Kim, S.-C. Kim and H. Myong Oh, “The Brazilian Power System and the Challenge of the Amazon Transmission,” International Symposium on Power Line Communications and Its Applications, 6-8 April 2005, pp. 380-385. doi:10.1109/tdc.1991.169526
- M. Pukkila, “Channel Estimation Modeling, Postgraduate Course in Radio Communications,” 2000. http://www.comlab.hut.fi/opetus/260/chan_est.pdf
- Alqueres and J. C. Praca, “An Application of the Singular Value Decomposition to OFDM Channel, Estimation,” Proceeding of 1991 IEEE Power Engineering Society Transmission and Distribution Conference, Dallas, 22-27 September 1991, pp. 315-320. doi:10.1109/TDC.1991.169475
- T. Necmi and S. M. Nuri, “Back Propagation Neural Network Approach for Channel Estimation in OFDM System, Wireless Communications, Networking and Information Security (WCNIS),” 2010 IEEE International Conference, Anchorage, 3-8 May 2010, pp. 265-268.
- L. L. Scharf, “Statistical Signal Processing: Detection, Estimation, and Time Series Analysis,” University of Colorado Boulder, Boulder, 1991, pp. 325-327.
- X. Carcelle, “Power Line Communications in Practice”, Artech House, Boston, 2009, pp.19-20.
- H. Meng, Y. L. Guan and S. Chen, “Modeling and Analysis of Noise Effects on Broadband Power-Line Communications,” IEEE Transactions on Power Delivery, Vol. 20, No. 2, 2005, pp. 630-637. doi:10.1109/TPWRD.2005.844349
- R. Nakkeeran and A. Rajesh, “Performance Analysis of Powerline Communication for Local Area Networking,” International Conference on Control, Automation, Communication and Energy Conservation, Tamilnadu, 4-6 June 2009, pp. 1-5.
- A. Rajesh, M. Rathinasabapathy and R. Nakkeeran, “Performance Analysis of Hybrid Protocol Based on Dynamic Contention Window for Power Line Communication Systems,” First Asian Himalayas International Conference on Internet, Kathmandu, 3 November 2009, pp. 1-7. doi:10.1109/AHICI.2009.5340267