Publications

@conference{Darghouthi2022715,

title = {Link Performance Analysis for GFDM Wireless Systems},

author = {A. Darghouthi and A. Khlifi and T. Benhmad and B. Chibani},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147251201\&doi=10.1109%2fSTA56120.2022.10018974\&partnerID=40\&md5=102f4a8b4f2be42eef0000ac1076cb0f},

doi = {10.1109/STA56120.2022.10018974},

isbn = {9781665482615},

year  = {2022},

date = {2022-01-01},

journal = {2022 IEEE 21st International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2022 - Proceedings},

pages = {715-720},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {The most important challenge for the next mobile communications network is to afforde the highest data rates with the best quality of service (QoS). This must be done with an ultra-low power consumption and low latency. As we know, Generalized Frequency Division Multiplexing (GFDM) seems to be the best candidate in the fifth's physical layer of 5G mobile networks. This will be underlined over this paper. We will show utility to use GFDM for different schemes dealing with various systems named SISO, SIMO, MISO, MIMO. Improvements of the mentioned parameters as proved by simulation results will be discussed. © 2022 IEEE.},

note = {cited By 2},

keywords = {5G mobile communication systems; Network layers; Quality of service; Wireless networks, Bit error rate, Bit-error rate; Data-rate; Flexibility; Frequency-division- multiplexing; Generalized frequencies; Latency; Link performance; Performances analysis; Waveforms; Wireless systems},

pubstate = {published},

tppubtype = {conference}

}