Optimal channel multiplexing and maximal ratio combining: CINR comparison
Abstract
Comparison between two common spatial combining algorithms, namely, optimal combining (OC) and maximal ratio combining (MRC) is carried out based on definition of a gain ratio. The receive carrier-to-interference plus noise ratio (CINR) is applied in Raleigh fading wireless communication systems to define the gain CINROC/CINRMRC with multiple interferences when the generalized approach to signal processing in noise is employed. The exact expression for the probability density function (pdf) and analytical solution for the average gain CINROC/CINRMRC in the case of a single interference is derived. For multiple interferences Monte-Carlo simulation to define the pdf and gain CINROC/CINRMRC is used. Additionally, an upper bound to the gain CINROC/CINRMRC to determine when the OC will exhibit significant gains over MRC is derived.
References
1. Simon M., Alouini M. Digital communications over fading channels: a unified approach to performance analysis. New York: Wiley & Sons, Inc., 2000. 537 p.
2. Winters J. Optimum combining in digital mobile radio with co-channel interference // IEEE Transac-tions on Vehicle Technology. 1984. Vol. VT-33, No. 4. P.144-155.
3. Exact bit error probability for optimum combining with Rayleigh fading Gaussian co-channel interfer-er / A. Shan [et. al.] // IEEE Transactions on Communications. 2000. Vol. СОМ-48. No. 6. P. 908-912.
4. Mallik R., Win M., Chiani M. Exact analysis of optimum combining in interference and noise over a Rayleigh fading channel // IEEE International Conference on Communications. USA, May 5-7, 2002. P. 1954-1958.
5. Aalo V., Zhang J. Performance analysis of maximal ratio combining in the presence of multiple equal-power co-channel interferers in Nakagami fading channel // IEEE Transactions on Vehicle Technology. 2001. Vol. VT-50. No. 2. P. 144-155.
6. Tuzlukov V. Optimal combining, partial cancellation, and channel estimation and correlation in DS-CDMA systems employing the generalized detector // WSEAS Transactions on Communications.-2009. Vol. 8, No. 7. P. 718-733.
7. Tuzlukov V. Multiuser generalized detector for uniformly quantized synchronous CDMA signals in AWGN channels // Telecommunications Review. 2010. Vol. 20. No. 5. P. 836-848.
8. Tuzlukov V. Signal processing by generalized receiver in DS-CDMA wireless communication systems with optimal combining and partial cancellation // EURASIP Journal on Advances in Signal Processing. 2011. Article ID 913189. 15 p.
9. Tuzlukov V. Signal processing by generalized detector in DS-CDMA wireless communication systems with frequency-selective channels // Circuits, Systems, and Signal Processing. 2011. Vol. 30, No. 6. P. 1197-1230.
10. Tuzlukov V. DS-CDMA downlink systems with fading channel employing the generalized receiver // Digital Signal Processing: Review Journal. 2011. Vol. 21, No. 6. P. 725-733.
11. Tuzlukov V. Communication systems: new research. New York: NOVA Science Publishers, 2013. 423 p.
12. Tuzlukov V. Advances in communications and media research. Chapter 6: Detection of spatially distributed signals by generalized receiver using radar sensor array in wireless communications. New York: NOVA Science Publishers, Inc, 2015. P. 143-173.
13. Tuzlukov V. Contemporary issues in wireless communications. Chapter 4: Signal processing by generalized receiver in DS-CDMA wireless communication systems. Croatia: INTECH, 2014. P. 79-158.
14. Tuzlukov V. A new approach to signal detection theory // Digital Signal Processing: Review Journal. 1998. Vol. 8, No. 3. P. 166-184.
15. Tuzlukov V. Signal detection theory. New York: Springer-Verlag, 2001. 746 p.
16. Tuzlukov V. Signal processing noise. Boca Raton-London-New York-Washington D.C.: CRC Press, 2002. 692 p.
17. Tuzlukov V. Signal and image processing in navigational systems. Boca Raton-London-New York-Washington D.C., 2004. 636 p.
18. Tuzlukov V. Signal processing in radar systems. Boca Raton-London-New York-Washington D.C., 2012. 601 p.
19. Tuzlukov V. Signal processing in radar systems (in Simplified Chinese). Benjin : National Defense Industry Press, 2016. 617 p.
20. Manolakis D. Statistical and adaptive signal processing: spectral estimation, signal modeling, adaptive filter-ing and array Processing / D. Manolakis, V. Ingle, S. Kogon. Norwood, MA: Artech House, 2005. 816 p.
21. Chiani M. Exact symbol error rate probability for optimum combining in the presence of multiple co-channel interferers and thermal noise / M. Win, A. Zanella, J. Winters // IEEE Global Telecommunications Conference. 2001. Vol. 2. P. 1182-1186.
22. Muirhead R. Aspects of multivariate statistical theory / R. Muirhead. New York, Wiley & Sons, Inc, 2008. 673 p.
23. Johnson N.L., Kotz S., Balakrishnan N. Continuous univariate distributions. New York: Wiley & Sons, Inc, 1995. 752 p.
24. Leon-Garcia A. Probability and random processes for electrical engineering. NJ: Prentice Hall, 2008. 805 p.
Review
For citations:
Tuzlukov V.P. Optimal channel multiplexing and maximal ratio combining: CINR comparison. Doklady BGUIR. 2017;(1):26-33. (In Russ.)
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