Lokman Sboui, Zouheir Rezki, Ahmed Sultan and Mohamed

Lokman Sboui, Zouheir Rezki, Ahmed Sultan and Mohamed-Slim Alouini
Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division
King Abdullah University of Science and Technology
{lokman.sboui,zouheir.rezki,slim.alouini}@kaust.edu.sa
Two major issues are facing today’s wireless
communications evolution:
Problem
-Spectrum scarcity: Need for more bandwidth. As
a solution, the Cognitive Radio (CR) paradigm,
where secondary users (unlicensed) share the
spectrum with licensed users, was introduced.
-Energy consumption and CO2 emission: The
ICT produces 2% of global CO2 emission
(equivalent to the aviation industry emission). The
cellular networks produces 0.2%. As solution
energy efficient systems should be designed rather
than traditional spectral efficient systems.
Optimal Power
where
In this work, an energy efficient power allocation
framework based on maximizing the average EE
per parallel channel is presented.
Problem
Optimal Power
• Explicit
power expressions to maximize the
MIMO-SVD EE in Cognitive Radio setting.
• Unconstrained
where
constrained
power
allocation in CR.
The SE per parallel channel (ppc) is defined as:
and
The EE ppc is:
and
• The proposed EE outperforms the classical EE
in terms of SE at high power values
• The
sub-optimal and the optimal EE
performances are matched at high and low power
regime.
• The
The EE of the system is:
EE per parallel channel increase as N
increases.
• Lokman Sboui, Zouheir Rezki and Mohamed-
Optimal Power
Slim Alouini; “Energy Efficient Power Allocation
for Cognitive MIMO Channels,” submitted to the
IEEE International Communications Conference
(ICC’16).
• Lokman
Sboui, Zouheir Rezki and MohamedSlim Alouini; “Energy-Efficient Power Allocation
for Underlay Cognitive Radio Systems”, IEEE
Transactions on Cognitive Communications and
Networking 2015
ACKNOWLEDGEMENT
Lokman Sboui, Zouheir Rezki and Mohamed-Slim Alouini are members of the KAUST SRI Center for Uncertainty Quantification in Computational Science and Engineering.