Publications

@conference{Darghouthi2023,

title = {Equalizers Performance Enhancing in MISO-OTFS Configuration},

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

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182943471\&doi=10.1109%2fIW_MSS59200.2023.10369509\&partnerID=40\&md5=21e89488c5488424bc138e4778068b81},

doi = {10.1109/IW_MSS59200.2023.10369509},

isbn = {9798350327564},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

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

abstract = {For future mobile communications networks, a key challenge is to offer and retain a number of parameters, like high data rates, while preserving a greater degree of service quality (QoS). Main performance indexes lower latency and power consumption. It's widely known that this is the most reliable choice for the post-fifth physical layer. Mobile networks adopt a famous modulation model named OTFS (Orthogonal Time-Frequency Space). So, the paper concerns how better an equalization procedure will be based on both ZF (zero forcing) and MMSE (minimum mean square error equalization) with respect to offered complexity. The effectiveness of these various strategies will be investigated in this study with reference to the obtained simulation results. © 2023 IEEE.},

note = {cited By 0},

keywords = {Bit error rate, Bit-error rate; Diversity; High data rate; High data-rates; High mobility; Mobile communication networks; Performance enhancing; Space configuration; Time-frequency space; Waveforms, Equalizers; Mean square error; Mobile telecommunication systems; Network layers; Quality of service; Wireless networks},

pubstate = {published},

tppubtype = {conference}

}