The week's pick
Random Articles
Reseach Article
Sensing Performance of Advanced LTE Cognitive Femtocells
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 77 - Number 3 |
| Year of Publication: 2013 |
| Authors: Mohamed Shalaby, Mona Shokair, Yaser S. E. Abdo |
10.5120/13374-0979
|
Mohamed Shalaby, Mona Shokair, Yaser S. E. Abdo . Sensing Performance of Advanced LTE Cognitive Femtocells. International Journal of Computer Applications. 77, 3 ( September 2013), 19-25. DOI=10.5120/13374-0979
Abstract
The deployment of femtocells in a LTE advanced system can extend the system coverage to include indoors. Unfortunately, an electromagnetic interference may occur among the femto users and the macro users in the case of co-channel deployment. A cognitive radio can be used to mitigate the interference among the femtocells and the macrocells. It is applied by allowing the femto users to be handled as secondary users of any other existing network. In this paper, the performance of the LTE advanced Femtocell is studied by using different detectors such as energy detector, cyclostationary detector, and matched filter detector, which is not clarified until now. Moreover, the analysis of these detectors is made. Comparisons among these detectors are carried out. Different wireless channel models, Additive White Gaussian Noise (AWGN) and fading channels, are implemented to verify the operation of the proposed LTE advanced Femtocell. Simulation results show that there is a tradeoff between a false alarm probability and the signal to noise ratio value of any detector to have a certain performance. Moreover, the performance of the cyclostationary detector and the matched filter detector is better than the energy detector especially at low signal to noise ratio values. Unfortunately, the cyclostationary detector performance is not satisfying when the fading channels are employed.
References
- D. M. Sacristan, J. F. Monserrat, J. C. Penuelas, D. Calabuig, S. Garrigas, and N. Cardona, "on The Way towards Fourth-Generation Mobile: 3GPP LTE and LTE-Advanced, " EURASIP Journal on Wireless Communications and Networking, Vol. 2009, No. 354089, pp. 1-10, June 2009.
- S. Parkvall, E. Dahlman, A. Furuskar, Y. Jading, M. Olsson, S. Wanstedt, and K. Zangi, "LTE-Advancd-Evolving LTE towards IMT-Advanced, " IEEE Vehicular Technology Conference, pp. 1-5, September 2008.
- V. Chandrasekhar, and J. G. Andrews, "Femtocell Networks: A Survey, " IEEE Communications Magazine, pp. 59-67, September 2008.
- D. N. Knisely, T. Yoshizawa, and F. Favichia, "Standardization of Femtocells in 3GPP, " IEEE Communications Magazine, pp. 68-75, September 2009.
- D. N. Knisely, and F. Favichia, "Standardization of Femtocells in 3GPP2, " IEEE Communications Magazine, pp. 76-82, September 2009.
- C. Xiao, and A. Kataria, "Cognitive Radios-Spectrum Sensing Issues, "Thesis, Faculty of the Graduate School at the University of Missouri-Columbia, pp. 1-45, December 2007.
- H. Hu, "Cyclostationary Approach to Signal Detection and Classification in Cognitive Radio Systems, "Beijing University of Posts and Telecommunication P. R. China, pp. 51-76, 2009.
- V. Sonmezer, M. Tummala, and D. Jenn, " Cooperative Wideband Spectrum Sensing and Localization using Radio Frequency Sensor Networks, " thesis, Naval Post Graduate School, Monterey, California, pp. 1-91, September 2009.
- H. Rasheed, and N. Rajatheva, "Spectrum Sensing for Cognitive Vehicular Networks over Composite Fading, " International journal of vehicular technology, Vol. 2011, No. 630467, pp. 1-9, January 2011.
- M. B. Dave, and S. k. Patra, "Spectrum Sensing in Cognitive Radio: Use of Cyclo-Stationary Detector, " thesis, Electronics and communication Engineering department, National Institute of Technology, India, pp. 1-59, May 2012.
- S. Enserink, and D. cochran, "Cyclostationary Feature Detector, "IEEE Conference Record of the Twenty-Eighth Asilomar on Signals, Systems, and Computers, pp. 806-810, October 1994.
- S. Enserink, and D. cochran, "on Detection of Cyclostationary Signals, "IEEE Acoustics, Speech, and Signal Processing Conference, pp. 2004-2007, May 1995.
- A. S. Babu, and K. V. S. Rao, "Evaluation of BER for AWGN, Rayleigh, and Rician Fading Channels under Various Modulation Schemes, " International Journal of Computer Applications, Vol. 26, No. 9, pp. 23-28, July 2011.
- G. S. Prabhu, and P. M. Shankar, "Simulation of Flat Fading using MATLAB for Classroom Instruction, " IEEE Transactions on Education, Vol. 45, No. 1, pp. 19-25, Febuary 2002.
Index Terms
Keywords