@conference {Et-Tolba2016140, title = {A cross-validation based semi-analytical performance evaluation for high order modulations}, booktitle = {Proceedings - 2016 International Conference on Wireless Networks and Mobile Communications, WINCOM 2016: Green Communications and Networking}, year = {2016}, note = {cited By 0}, pages = {140-145}, abstract = {Higher order quadrature amplitude modulation (HOQAM) is one of the key technologies used in advanced mobile communication systems to achieve high data rates. However, in such systems, performance evaluation can be very complicated and time consuming due to the increase of constellation size. As a solution, a QAM scheme is seen as a combination of two pulse amplitude modulations (PAM). Nevertheless, the system remains complex especially with very high constellation sizes. Therefore, Monte-Carlo simulation method is impractical to obtain the expected system performance. In this paper, we propose a semi-Analytical performance evaluation methodology for a PAM modulation. Our approach is based on the probability density estimation using kernel technique in joint application with cross-validation (CV) criterion. We derive both semi-Analytical symbol error probability (SEP) and semi-Analytical bit error probability (BEP) for several modulation schemes. Simulation results show that, in terms of SEP and BEP metrics, our technique is accurate compared with theoretical error probabilities. {\textcopyright} 2016 IEEE.}, doi = {10.1109/WINCOM.2016.7777205}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010403967\&doi=10.1109\%2fWINCOM.2016.7777205\&partnerID=40\&md5=054454e5fcd4dcb08070936909531a01}, author = {Et-Tolba, M.a and Naamane, F.E.b and Saoudi, S.c} } @conference {Et-Tolba2014, title = {Fast performance prediction method for QPSK modulation}, booktitle = {4th International Conference on Communications and Networking, ComNet 2014 - Proceedings}, year = {2014}, note = {cited By 0}, abstract = {Quadrature phase shift keying (QPSK) is one of modulation schemes used in advanced wireless communication systems. It is known to be robust against the channel impairement. However, when it is used with sophisticated signal processing, it makes Monte Carlo simulation method time consumming. In this paper, we propose a semi-analytical prediction method which provides a significant gain in term of computing time. {\textcopyright} 2014 IEEE.}, doi = {10.1109/ComNet.2014.6840919}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904625389\&doi=10.1109\%2fComNet.2014.6840919\&partnerID=40\&md5=b70a8e70d411010846eacd41e3ade011}, author = {Et-Tolba, M.a and Naamane, F.E.b and Belkasmi, M.a} }