Performance of cognitive radio systems, low SNR communication, and MIMO communication systems.
Selected Publications
Lokman, Sboui; Hakim Ghazzai; Rezki, Zouheir; Alouini, Mohamed-Slim; " On the Throughput of a Relay-Assisted Cognitive Radio MIMO Channel with Space Alignment", 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt 2014).
Lokman, Sboui; Rezki, Zouheir; Alouini, Mohamed-Slim; “Improving the Throughput of Cognitive Radio Networks Using the Broadcast Approach", IEEE Global Communications Conference 2013 (Atlanta, USA).
Lokman, Sboui; Rezki, Zouheir; Alouini, Mohamed-Slim; "Capacity of Spectrum Sharing Cognitive Radio Systems over Nakagami Fading Channels at Low SNR", IEEE International Conference on Communications 2013.
Lokman, Sboui; Hakim Ghazzai; Rezki, Zouheir; Alouini, Mohamed-Slim; "Achievable Rate of Cognitive Radio Spectrum Sharing MIMO Channel with Space Alignment and Interference Temperature Precoding", IEEE International Conference on Communications 2013 (ICC’13, Budapest, Hungary).
Lokman, Sboui; Rezki, Zouheir; Alouini, Mohamed-Slim; " A Unified Framework for The Ergodic Capacity of Spectrum Sharing Cognitive Radio Systems", IEEE Transactions on Wireless Communications 2013.
Lokman, Sboui; Rezki, Zouheir; Alouini, Mohamed-Slim; "Capacity of Cognitive Radio under Imperfect Secondary and Cross Link Channel State Information", IEEE Symposium on Personal, Indoor and Mobile Radio Communications 2011 (PIMRC’11, Toronto, Canada)
Education
M.S. in Electrical Engineering, King Abdullah University of Science and Technology (KAUST) Thuwal, KSA, May 2013
“Diplome d’Ingenieur” in Signals and Systems, Ecole Polytechnique de Tunisie (EPT), Tunis, Tunisia, June 2011
Professional Profile
Ph.D. Student in Electrical Engineering
Scientific and Professional Membership
IEEE student member
Awards
KAUST Fellowship award.
KAUST Affiliations
Communication Theory Lab (CTL)
Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division
