Theses Supervised by Dr. Ahmed Elmahdy

Faculty of Information Engineering & Technology, IET
B.Sc. Thesis Summary
Project Titles:
The first four projects
(1) Reduction of average to peak power ratio of OFDM system using peak windowing
and interleaving techniques.
(2) Reduction of average to peak power ratio of OFDM system using companding and
clipping techniques.
(3) Reduction of average to peak power ratio of OFDM system using peak
cancellation and selective mapping techniques.
(4) Reduction of average to peak power ratio of OFDM system using partial transmit
sequence technique.
Projects Overview:
The objective of these projects is to provide the student with a broader understanding
of the high peak-to-average power ratio (PAPR) problem in orthogonal frequency
division multiplexing (OFDM) systems and to generate a solution to mitigate the
problem.
The projects start with a description of OFDM system and description of the most
commonly encountered impairment of OFDM systems, the PAPR problem. In the
projects, simulation of OFDM system will be performed with a solution of the PAPR.
Each project from the above four, will work in the solution of this problem using two
methods. Also evaluation of the OFDM with the simulated solutions will be performed.
Eligible Departments:
Communications
Software/Hardware:
MATLAB
Faculty of Information Engineering & Technology, IET
B.Sc. Thesis Summary
Project Titles:
The projects:
(5) Comparative study of digital modulation techniques in OFDM over AWGN channel
(6) Comparative study of digital Modulation techniques in OFDM over fading channel.
Projects Overview:
The migration to 4G networks will bring a new level of expectation to wireless
communications. As after digital wireless revolution made mobile phones available for
everyone, the higher speeds and packet delivery of 4G networks will make high quality
multimedia available everywhere. OFDM is a digital modulation and multiplexing
technique.
In the above projects, various digital modulation techniques such as BPSK (2bits), QPSK
(4 bits), QAM, 16 QAM and 64 QAM will be discussed with the OFDM.. A simulation
of OFDM system (with different types of modulation) will be performed. Evaluation of
Bit Error Rate with different modulation schemes will be obtained and come to the best
configuration to achieve better utilization of bandwidth.
Eligible Departments:
Communications
Software/Hardware:
MATLAB
Faculty of Information Engineering & Technology, IET
B.Sc. Thesis Summary
Project Titles:
The first four prijects
(7) LTE Uplink: Performance evaluation of SC-FDMA system over AWGN channel.
(8) LTE Uplink: Performance evaluation of SC-FDMA system over Rayleigh fading
channel.
(9) LTE downlink: Performance evaluation of OFDMA system over AWGN channel.
(10) LTE downlink: Performance evaluation of OFDMA system over Rayleigh fading
channel.
Projects Overview:
Single Carrier Frequency Division Multiple Access (SC-FDMA) & Orthogonal Division
Multiple Access (OFDMA) are major part of LTE. OFDMA was well utilized for
achieving high spectral efficiency in communication system. SC-FDMA is introduced
recently and it became handy candidate for uplink multiple access scheme in LTE system
that is a project of Third Generation Partnership Project (3GPP). The Multiple Access
Scheme in Advanced Mobile radio system has to meet the challenging requirements for
example high throughput, good robustness, efficient Bit Error Rate (BER), high spectral
efficiency, low delays, low computational complexity, low Peak to Average Power Ratio
(PAPR), low error probability etc. Error probability is playing vital role in channel
estimation and there are many ways to do channel estimation, like Wiener Channel
Estimation, Bayesian Demodulation etc.
In the above projects, we investigate the performance of SC-FDMA and OFDMA of LTE
physical layer by considering different modulation schemes (BPSK, QPSK, 16QAM and
64QAM) on the basis of PAPR, BER, power spectral density (PSD) and error probability
by simulating the model of SC-FDMA & OFDMA. We use Additive White Gaussian
Noise (AWGN) channel and introduce frequency selective (multipath) fading in the
channel by using Rayleigh Fading model to evaluate the performance in presence of
noise and fading.
Eligible Departments:
Communications
Software/Hardware:
MATLAB
Faculty of Information Engineering & Technology, IET
B.Sc. Thesis Summary
Project Titles:
(11) Cooperative spectrum sensing based on decision fusion.
(12) Cooperative spectrum sensing based on data fusion.
Projects Overview:
Spectrum utilization can be improved significantly by allowing a secondary user to utilize
a licensed band when the primary user (PU) is absent. Cognitive radio (CR) has been
proposed to promote the efficient use of the spectrum. By sensing and adapting to the
environment, a CR is able to fill in spectrum holes and serve its users without causing
harmful interference to the licensed user. To do so, the CR must continuously sense the
spectrum it is using in order to detect the re-appearance of the PU. Once the PU is
detected, the CR should withdraw from the spectrum so as to minimize the interference it
may possibly cause. In Cooperative Spectrum Sensing:
1) Every CR performs its own local spectrum sensing measurements independently and
then makes a binary decision on whether the PU is present or not.
2) All of the CRs forward their decisions to a common receiver.
3) The common receiver fuses the CR decisions and makes a final decision to infer the
absence or presence of the PU.
Decision Fusion and Data Fusion: In the above cooperative spectrum sensing approach
each cooperative partner makes a binary decision based on the local observation and then
forwards one bit of the decision to the common receiver. At the common receiver, all 1bit decisions are fused together according to an OR logic. This approach is called
decision fusion.
An alternative form of cooperative spectrum sensing can be performed as follows.
Instead of transmitting the 1-bit decision to the common receiver in step 2) of the above
algorithm, each CR can just send its observation value directly to the common receiver.
This approach is called data fusion. Obviously, the 1-bit decision needs a low bandwidth
Eligible Departments:
Communications
Software/Hardware:
MATLAB