Interference in Wireless Channels
The analysis and discussion so far in Chaps. 4 and 5 examined the effects of fading and shadowing in wireless systems while ignoring the possibility that the signal under consideration might be impacted by other signals, typically from other channels operating at the same frequency band. The contribution from other channels is often referred to as the cochannel interference or CCI. In simple terms, if the contribution from CCI exceeds a certain value, the ability to detect the signal of interest is adversely impacted leading to outage as well as further degradation in error rate performance (MacDonald 1979; Aalo and Zhang 1999; Muammar and Gupta 1982; Winters 1984; Cardieri and Rappaport 2001; Yang and Alouini 2003).
KeywordsError Rate Outage Probability Maximal Ratio Combiner Rayleigh Channel Error Rate Performance
- Al-Ahmadi, S. and H. Yanikomeroglu (2010). On the Approximation of the PDF of the Sum of Independent Generalized-K RVs by Another Generalized-K PDF with Applications to Distributed Antenna Systems. Wireless Communications and Networking Conference (WCNC), 2010 IEEE. 1–5.Google Scholar
- Chatzidiamantis, N. D., G. K. Karagiannidis, et al. (2009). On the Distribution of the Sum of Gamma-Gamma Variates and Application in MIMO Optical Wireless Systems. Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE. 1–6.Google Scholar
- Ismail, M. and M. Matalgah (2007). “Exact and approximate error-rate analysis of BPSK in Weibull fading with cochannel interference.” Communications, IET Proceedings on 1(2): 203–208.Google Scholar
- MacDonald, V. (1979). “The cellular concept.” Bell System Technical Journal 58(1): 15–41.Google Scholar
- Mathai, A. M. (1993). A Handbook of Generalized Special Functions for Statistical and Physical Sciences. Oxford University Press.Google Scholar
- Mathai, A. M. and H. J. Haubold (2008). Special functions for applied scientists. New York, Springer Science+Business Media.Google Scholar
- Mostafa, R., A. Annamalai, A. et al. (2004). “Performance evaluation of cellular mobile radio systems with interference of dominant interferers.” Communications, IEEE Transactions on 52(2): 326–335.Google Scholar
- Papoulis, A. and S. U. Pillai (2002). Probability, random variables, and stochastic processes. Boston, McGraw-Hill.Google Scholar
- Simon, M. K. and M.-S. Alouini (2005). Digital communication over fading channels. Hoboken, N.J., Wiley-Interscience.Google Scholar
- Sriv, T., C. Chayawan, et al. (2005). “An analytical model of maximal ratio combining systems in K-distribution fading channel and multiple co-channel interferers. Networks, 2005.” Jointly held with the 2005 IEEE 7th Malaysia International Conference on Communication., 2005 13th IEEE International Conference on. 1011–1016.Google Scholar
- Wolfram (2011) http://functions.wolfram.com/, Wolfram Research, Inc.