Title :
Capacity and performance analysis for hybrid selection/maximal-ratio combining in Nakagami fading with unequal fading parameters and branch powers
Author :
Cheng, Jay ; Berger, Toby
Author_Institution :
Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
Abstract :
We consider a hybrid selection/maximal-ratio combining (HS/MRC) diversity system and assume independent Nakagami fading on the diversity branches with unequal fading parameters and unequal signal-to-noise ratios (SNR´s). We use the virtual branch technique and two series expressions for the characteristic function (CF) of the sum of independent gamma random variables to derive closed-form expressions for CF, the probability density function (PDF), the mean, and the variance of the instantaneous combiner output SNR. We also obtain closed-form expressions for the outage probability, the channel capacity under different transmission policies, and the average symbol error probability (SEP) for a general class of M-ary modulation schemes (including MPSK, MQAM, BFSK, and MSK) with coherent detection. Our approach provides a canonical structure for the closed-form expressions, which are the closed-form expressions for a single-branch system in different Nakagami fading environments.
Keywords :
channel capacity; diversity reception; fading channels; frequency shift keying; probability; quadrature phase shift keying; radio networks; BFSK; M-ary modulation schemes; MPSK; MQAM; Nakagami fading; branch powers; channel capacity; characteristic function; closed-form expressions; coherent detection; diversity system; frequency shift keying; gamma random variables; generalized diversity combining; hybrid selection/maximal-ratio combining; outage probability; phase shift keying; probability density function; quadrature amplitude modulation; signal-to-noise ratios; symbol error probability; unequal fading parameters; virtual branch technique; wireless communication systems; Channel capacity; Closed-form solution; Diversity reception; Error probability; Fading; Performance analysis; Probability density function; Random variables; Signal to noise ratio; Wireless communication;
Conference_Titel :
Communications, 2003. ICC '03. IEEE International Conference on
Print_ISBN :
0-7803-7802-4
DOI :
10.1109/ICC.2003.1203966