Abstract/Description
Emerging trends of mobile communication and ever growing demand of mobile users with high speed data requirements and migrating towards 4G, Co-Channel interference and multipath in urban/dense urban environment will limit the capacity of the network. Smart antenna is now recognized by its higher user capacity in 4G wireless networks by efficiently reducing multipath and co-channel interference. Smart Antenna use adaptive beam forming algorithms in a dynamic environment continuously adjusting the weight of antenna arrays for creating a beam to track desired users automatically, and minimize interference from other users by placing nulls in their directions. This research work provides comparative analysis to results of different blind and non blind adaptive algorithms for one desired angle and three undesired angles. These algorithms have been simulated in a GUI based application's interface develop in MATLAB. Results of simulation will help in beam forming and antenna design.
Keywords
Smart antenna, LMS, SMI, CGM
Location
Room C4
Session Theme
Networks - I
Session Type
Other
Session Chair
Dr. Sayeed Ghani
Start Date
23-7-2011 2:55 PM
End Date
23-7-2011 3:15 PM
Recommended Citation
Siddiqui, A. A., Manzoor, M. M., Ijaz, A., Khan, A. U., Awan, I. A., & Chand, S. L. (2011). Networks - I: Interference mitigation in 4G system using smart antenna. International Conference on Information and Communication Technologies. Retrieved from https://ir.iba.edu.pk/icict/2011/2011/8
Networks - I: Interference mitigation in 4G system using smart antenna
Room C4
Emerging trends of mobile communication and ever growing demand of mobile users with high speed data requirements and migrating towards 4G, Co-Channel interference and multipath in urban/dense urban environment will limit the capacity of the network. Smart antenna is now recognized by its higher user capacity in 4G wireless networks by efficiently reducing multipath and co-channel interference. Smart Antenna use adaptive beam forming algorithms in a dynamic environment continuously adjusting the weight of antenna arrays for creating a beam to track desired users automatically, and minimize interference from other users by placing nulls in their directions. This research work provides comparative analysis to results of different blind and non blind adaptive algorithms for one desired angle and three undesired angles. These algorithms have been simulated in a GUI based application's interface develop in MATLAB. Results of simulation will help in beam forming and antenna design.
