Home > Seminars > Seminar by Lokman Sboui, PhD Candidate (KAUST)

​Achievable Rate of Multi-Relay Cognitive Radio MIMO Channel with Space Alignment By Lokman Sboui, PhD Candidate (KAUST)

  • Class schedule:  Sunday April 19th, 2015 from 12:00 pm to 12:30 pm
  • Location: Building 9, Room 2322
  • Refreshments: Available at 11:45 am

The concept of cognitive radio (CR) was presented as a solution to overcome the spectrum inefficientallocation. In this concept, cognitive/secondary users (SU) share the spectrum of licensed/primary users (PU) without affecting the primary communication. In this seminar, the performance of CR system is studied in a Multi-Relay setting. Relaying consists of inserting additional nodes in the network that retransmit the received signal to the destination in order to enhance reliability and reduce the communication cost in terms of power. Relaying is very efficient in celledge cases in which the source transmission requires high power that may lead to reduced rate due to theremoteness of the destination. In particular, in CR communications, when the destination is far, a highpower transmission from the cognitive user may affect the primary communication. The impact of multiple relays on PU and SU rates of underlay MIMO cognitive radio is presented. In the numerical results, we show that our scheme provides cognitive rate gain even in the absence of tolerated interference. In addition, we show that increasing the number of relays enhances the PU and SU rates at low power regime and/or when the relays power is sufficiently high.

Lokman Sboui received the Diplome d’Ingénieur degree in signals and systems engineering from Ecole Polytechnique de Tunisie (EPT), La Marsa, Tunisia, in June 2011, the MS degree from King Abdullah University of Science and Technology (KAUST) in May 2013. He is currently a Ph.D. candidate in the Electrical Engineering program of KAUST. His current research interests include: performance of cognitive radio systems, low SNR communication, MIMO communication, Relaying performances, energy efficient power allocation and green wireless sensor networks.