Error Rates in Generalized Shadowed Fading Channels
Wireless Personal Communications: An International Journal
Fundamentals of wireless communication
Fundamentals of wireless communication
Performance Analysis of Diversity Combining Algorithms in Shadowed Fading Channels
Wireless Personal Communications: An International Journal
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Diversity reception over generalized-K (KG) fading channels
IEEE Transactions on Wireless Communications
On the capacity of generalized-k fading channels
IEEE Transactions on Wireless Communications
IEEE Journal on Selected Areas in Communications
Hi-index | 0.01 |
The generalized K-fading model, characterized by two parameters, k and m, is a very versatile model and was recently shown to accurately capture the effects of composite shadowing and multipath fading in wireless communication systems. Furthermore, it can be used to model cascade multipath fading, which is relevant in, e.g., mobile-to-mobile communication scenarios. In this paper, we derive closed-form expressions for the bit error probability of two non-coherent transmission schemes over Ldiversity branches being subject to generalized K-fading. Specifically, focus is on binary differential phase-shift keying (DPSK) and binary non-coherent frequency-shift keying (FSK) modulation with (post-detection) equal-gain combining at the receiver. We also discuss the extension of our results to M-ary modulation schemes. Considering both independent and correlated fading across the L branches, we derive expressions for the asymptotic diversity order, which reveal an interesting interplay between the two fading parameters k and m. Moreover, we show that the diversity order of the considered non-coherent transmission schemes is the same as in the case of a coherent transmission scheme. Finally, numerical performance results are presented, and our analytical results are corroborated by means of Monte-Carlo simulations.