Bit-Error-Rate Analysis of Underlay Relay Cognitive Networks with Channel Estimation Errors
Khuong Ho‐Van, Paschalis C. Sofotasios, Son Vo Que, Tuan Dang Anh, Phạm Quang Thái, Phạm Hồng Liên · arXiv (Cornell University) · 2015
This paper evaluates the bit error rate (BER) performance of underlay relay cognitive networks with decode-and-forward (DF) relays in arbitrary number of hops over Rayleigh fading with channel estimation errors. In order to facilitate the performance e valuation analytically we derive a novel exact closed-form representation for the corresponding BER which is validated through extensive comparisons with results from Monte-Carlo simulations. The proposed expression involved well known elementary and special functions which render its computational realization rather simple and straightforward. As a result, the need for laborious, energy exhaustive and time-consuming computer simulations can be ultimately omitted. Numerous results illustrate that the p erformance of underlay relay cognitive networks is, as expected, significantly degraded by channel estimati on errors and that is highly dependent upon