Title :
An intelligent future mobile terminal architecture
Author_Institution :
Dept. of Comput. Syst. Eng., N-W.F.P Univ. of Eng. & Technol., Peshawar, Pakistan
Abstract :
In this paper, a novel Extended Cognitive Mobile Terminal (ExCogNet-MT) scheme is presented. In this scheme, a “test bench” at receiver´s Mobile Terminal (MT) can estimate the channel Signal to Noise Ratio (SNR) and can detect the jamming signal. The estimation scheme compares the Standard Deviation (SD) of received signal and processed signal, and on the bases of this comparison the “test bench” can determine the BER and corresponding SNR value of the channel. Simulation results for 802.11a and WiMaxm demonstrated that under certain scenarios estimated SNR value can be helpful for tuning the parameters of protocol stack.
Keywords :
WiMax; channel estimation; error statistics; jamming; mobile radio; protocols; wireless LAN; wireless channels; 802.11a; ExCogNet-MT; Extended Cognitive Mobile Terminal; WiMaxm; bit error rate; channel signal to noise ratio; intelligent future mobile terminal architecture; jamming signal detection; protocol stack; receiver mobile terminal; standard deviation; Bit error rate; Channel estimation; Computer architecture; Mobile communication; Mobile computing; Signal to noise ratio; Switches; BER estimation; Chennal estimation; Cognitive mobile terminal; Cognitive networks;
Conference_Titel :
Information and Emerging Technologies (ICIET), 2010 International Conference on
Conference_Location :
Karachi
Print_ISBN :
978-1-4244-8001-2
DOI :
10.1109/ICIET.2010.5625738
