Title :
Outage probability for MMSE linear diversity in a non-Gaussian fading environment
Author :
Mekloi, Narongrit
Author_Institution :
Dept. of Electron.&Telecommun. Eng., Rajamangala Univ. of Technol. Krungthep, Bangkok
Abstract :
Minimum mean square error (MMSE), also know as optimum combining, is already mentioned to be good matched technique for suppressing the multipath fading and reducing the effect of co-channel interference (CCI) in wireless communications. It has been used for either Gaussian fading channels and non-Gaussian fading channels for different conditions and purposes. In this paper, the performance evaluation of wireless digital communication systems for linear minimum mean square error diversity is investigated. The approach of this paper and its main contribution is to model the non-Gaussian fading channel of wireless systems. A new expression of outage probability in a non-Gaussian fading environment is studied by modeling fading channel as a spherically invariant random process (SIRP). It assumed that the interferers have equal powers and their number is no less than the diversity order. Finally, some numerical results show the impact of the number of antenna elements, the number of interferers and noise.
Keywords :
Gaussian channels; antenna arrays; diversity reception; fading channels; least mean squares methods; multipath channels; probability; random processes; Gaussian fading channel; MMSE linear diversity; SIRP; antenna element; channel interference reduction; minimum mean square error; multipath fading environment; outage probability; performance evaluation; spherically invariant random process; wireless digital communication systems; Digital communication; Diversity reception; Fading; Interchannel interference; Mean square error methods; Power system modeling; Radiofrequency interference; Random processes; Wireless communication; Working environment noise;
Conference_Titel :
Information Theory and Its Applications, 2008. ISITA 2008. International Symposium on
Conference_Location :
Auckland
Print_ISBN :
978-1-4244-2068-1
Electronic_ISBN :
978-1-4244-2069-8
DOI :
10.1109/ISITA.2008.4895460