Performance analysis of clustered CDMA-OQAM- OFDM Networks Mohamed Rawash Committee Members: Prof. Dr.-Ing. A. Czylwik Prof. Dr.-Ing. Jan C. Balzer Master Thesis Defense
Performance analysis of
clustered CDMA-OQAM-
OFDM Networks
Mohamed Rawash
Committee Members: Prof. Dr.-Ing. A. Czylwik
Prof. Dr.-Ing. Jan C. Balzer
Master Thesis Defense
Outline
Motivation and Objective
Technical background and Methodology
Concept and System Description
Simulation Results & Performance Analysis
Conclusion & Future Work
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Motivation and Objective
Motivation:
Challenges for wireless communication field
• Increasing transmission data rate
• Robust transmission against fading channel conditions
• Increasing bandwidth utilization
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Motivation and Objective
Objective:
Achieving reliable tranmission while keeping the data rate to an acceptable level
by:
• Building models for clustered CDMA-OFDM and CDMA-FBMC networks
• Applying different tranmission schemes and radio channel conditions
• Anaylzing the performance of the two networks and comparing them
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Outline
Motivation and Objective
Technical background and Methodology
Concept and System Description
Simulation Results & Performance Analysis
Conclusion & Future Work
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Technical background
Legacy CP-OFDM:
Dominant modulation technology for broadband wireless transmission
• Robust transmission in frequency selective transmission media
• Simple implementation using IFFT/FFT
• Wideband transmission over radia channels
Basic principle
• Dividing the wide spectrum into large number of orthogonal narrowband subcarriers
• Using rectangular pulse shaping filters
• Attaching Cyclic-Prefix to avoid Inter-Block-Interference (IBI)
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Technical background
CP-OFDM realization:
Pulse shaping filter
• Rectangular pulse shaping filter
• Sharp edges of the impulse response in time domain
• Sinc function of the channel transfer function in frequency domain
• Long trails of side lobes
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g(t)
t
Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Technical background
CP-OFDM realization:
Cyclic Prefix
• Repeatition of the last symbols of each block
• Attaching the repeated packet at the begining of each OFDM block
• To overcome the multipath propagation phenomenon of radio channels
• Realization & impact of CP
Choice of time interval for guard band greater than the maximum channel delay
𝑇𝑔 > 𝜏𝑚𝑎𝑥
Regular estimation of channel conditions
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Decrease of the useful data rate
Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Technical background
CP-OFDM modeling :
Composite transmit Signal
x t =
𝑛=1
𝑁
𝑘=−∞
∞
𝑆𝑛 𝑘 . 𝑔𝑃 𝑡 − 𝑘𝑇𝑆 . 𝑒𝑗2𝜋𝑓𝑛𝑡
Pulse shaping filter
𝑔 𝑡 = rect (𝑡 −
𝑁𝑇2
𝑁𝑇)
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Technical background
Filter Bank Multicarrier (FBMC):
Enhancement in the physical layer of broadband multicarrier modulation
• Filter bank of non-rectangular shape in time domain and fulfilling Nyquest criterion
• Orthognality only between the neighboring sub-channels
• Symbols Overlap in time domain
Basic principle
• Dividing the transmission channel associated with the available bandwidth into
subchannels
• Selecting a prtotype filter and designing a filter bank
• No cyclic-prefix needed
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Technical background
FBMC realization:
Prototype Filter
• The first filter in the flter bank is called prototype filter
• All other filters are derived from the prototype filter by frequency shifts
• For better performance of the filter impulse response and to reduce the out of band ripples,
more filter coefficients are to be realized
• The impulse response in time domain exceeds the multicarrier sysmbol duration by a factor
of K (overlapping factor)
• The filter design satisfy the Nyquest criterion
Filter impulse response corsses the zero axis at multiple integers of the symbol period
Frequency coefficients are symmetrical around the cut-off frequency
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Technical background
FBMC realization:
Prototype Filter
𝐻 𝑓 = ා
𝑘=−(𝐾−1)
𝐾−1
𝐻𝑘
sin(𝜋 𝑓 −𝑘𝑀𝐾
𝑀𝐾)
𝑀𝐾 sin(𝜋 𝑓 −𝑘𝑀𝐾
)
prototype filter frequency response for
different overlapping factors (PHYDYAS filter)
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K H0 H1 H2 H3 𝜎2
2 1 2 / 2 - - -35
3 1 0.911438 0.411438 - -44
4 1 0.971960 2 / 2 0.235147 -65
Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Technical background
FBMC realization:
Prototype Filter
• From the prototype filter frequency response we notice the following
Almost suppression of the out-of-band ripples compared to the corresponding one of
the FFT filter
Sub-channel interference is limited to the neighboring subchannels
No need for the Cyclic prefix
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Enhancement in bandwidth utilization & limited ISI
Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Technical background
FBMC realization:
Offset-QAM modulation
• By filter bank design, the subchannels with either even indicies or
odd ones do not overlap
• This property affects the choice of the modulation scheme if high
data rate is needed
• OQAM overcomes the problem of frequency domain overlapping of
the neighboring sub-channels
• Transmitting the real parts of the subchannels with even indicies
while transmitting the imaginary part of the odd indices and
alternatively changing between real and imaginary parts.
• Real and imaginary parts sent with time offset of half the multicarrier
symbol duration
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Technical background
Spreading Schemes:
Allocation of spread data to radio resources
Frequency Spreading
• Allocate spread data to parallel subcarriers at the
same time frame
Time Spreading
• Allocate spread data to different time frames/slots
over the same subcarrier
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Outline
Motivation and Objective
Technical background and Methodology
Concept and System Description
Simulation Results & Performance Analysis
Conclusion & Future Work
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Concept & System Description
CDMA-OFDM:
Concept & principles
• Multicarrier spread spectrum system
• Wide spectrum transmission, while using lare number of narrowband subcarriers
• Exploits the success of the spread spectrum technique in transmission robustness against
radio channels‘ impairments
• Avoids the frequency selectivity of the fading channels using the multicarrier CP-OFDM
modulation
• Suitable for multiuser applications where different users share the radio resources
simultaneously
• user’s data separation achieved via different user-specific orthogonal spread codes
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Concept & System Description
CDMA-OFDM:
Block Diagram
• Transmitter
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Spread code
1
Spread code
2
Spread code
Nu/K
∑ S/P
QAM
Mod.
IFFT
+
CPSpread code
1
Spread code
2
Spread code
Nu/K
∑ S/P
di
dNu
s1
s2
sNu
SK-1
S0ML/K
ML/K
Base Station
Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Concept & System Description
CDMA-OFDM:
Block Diagram
• Receiver
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ML
D
Channel S/P FFT
Mobile Station
ML/K
QA
M D
emo
d.
Rk
Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Concept & System Description
Previous Work:
• S. Kaiser, "OFDM-CDMA versus DS-CDMA Performance Evaluation for Fading Channels," IEEE, 1995.
• Clustered CDMA-OFDM outperforms DS-CDMA
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Concept & System Description
CDMA-FBMC:
Concept & principles
• Multicarrier spread spectrum system
• Wide spectrum transmission, while dividing the assocciated channel into sub-channels
• Exploits the success of the spread spectrum technique in transmission robustness against
radio channels‘ impairments
• Avoids the frequency selectivity of the fading channels using the multicarrier FBMC
modulation without a need for cyclic prefix
• Suitable for multiuser applications where different users share the radio resources
simultaneously
• user’s data separation achieved via different user-specific orthogonal spread codes
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Concept & System Description
CDMA-FBMC:
Block Diagram
• Transmitter
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Spread code
1
Spread code
2
Spread code
Nu/K
∑ S/P
OQAM
Mod.IFFT
Spread code
1
Spread code
2
Spread code
Nu/K
∑ S/P
di
dNu
s1
s2
sNu
SK-1
S0ML/K
ML/K
Base Station
Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Filter
Bank
Concept & System Description
CDMA-FBMC:
Block Diagram
• Receiver
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3-t
ap
Equal
izer
Channel S/P
Mobile Station
ML/K
OQ
AM
Dem
od
FFT
Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Outline
Motivation and Objective
Technical background and Methodology
Concept and System Description
Simulation Results & Performance Analysis
Conclusion & Future Work
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Simulation results & performance analysis
System Parameters:
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Parameter CDMA-OFDM CDMA-FBMC
No. subcarriers 64
Time frames 64
Modulation scheme QAM OQAM
Modulation order 4
CP length 1/4 -
Filter type - PHYDYAS, K= 4
No. of users 16
Cluster size 1,2,4,8 &16
Sampling rate 10 MHz
Channel Bandwidth 10 MHz
Spreading types Frequency spreading and time spreading
Spreading code Walsh-Hadamard
Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Simulation results & performance analysis
Performance of an unclustered network & AWGN :
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Simulation results & performance analysis
Performance of an unclustered network & ETU300 :
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Simulation results & performance analysis
Performance of a 4-cluster network & AWGN :
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Simulation results & performance analysis
Performance of a 4-cluster network & ETU300 :
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Simulation results & performance analysis
Performance of single cluster network & AWGN:
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Simulation results & performance analysis
Performance of single cluster network & ETU300:
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Simulation results & performance analysis
Comparative figures of frequency clustering for different cluster sizes & AWGN
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Simulation results & performance analysis
Comparative figures of frequency clustering for different cluster sizes & ETU300
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Simulation results & performance analysis
Comparative figures of time clustering for different cluster sizes & AWGN
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Simulation results & performance analysis
Comparative figures of time clustering for different cluster sizes & ETU300
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Outline
Motivation and Objective
Technical background and Methodology
Concept and System Description
Simulation Results & Performance Analysis
Conclusion & Future Work
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Conclusion & Future Work
Summary & conclusive remarks:
Two different multicarrier modulation networks based on CDMA spread spectrum
technique were developed and simulated using the scientific development platform
MATLAB, namely CDMA-OFDM and CDMA-FBMC
CDMA-FBMC usually outperforms CDMA-OFDM in terms of BER
CDMA-FBMC always outperforms CDMA-OFDM in terms of achievable throughput
CDMA-FBMC transmission system is an interesting scheme and promising candidate for
multiuser communication especially over fading channels and low SNR environments
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Conclusion & Future Work
Future Directions:
Applying interleaving in time and frequency before sending the data over the channel that
will make the transmission robust against burst errors
Considering combined clustering scheme in both time domain and frequency domain
simultaneously
Applying other detection techniques at the receiver (MMSE, ZF, MRC)
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks
Thank You for your attention!
Questions?
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Key References
I. Blel and R. Bouallegue, "REAL CDMA-OFDM/OQAM TRANSMISSION SYSTEM BASED ON
WALSH HADAMARD SPREADING CODE OVER RAYLEIGH FADING CHANNEL," IEEE
L. Chrislin, P. Siohan, R. Legouable and M. Bellanger, "CDMA Transmission with Complex
OFDM/OQAM," EURASIP Journal onWireless Communications and Networking, 2008.
R. GHARSALLAH and R. BOUALLEGUE, "Comparison between MC-CDMA and CDMA-
OFDM/OQAM systems in presence of MIMO channel," IJCSI International Journal of Computer
Science Issues, vol. 9, 2012
M.Bellanger, "FBMC physical layer: a primer," June 2010. [Online]. Available: http://www.ict-
phydyas.org/teamspace/internal-folder/FBMC-Primer_06-2010.pdf
L. Häring, "OFDM Transmission Technique," Nachrichtentechnische Systeme - Univerität Duisburg-
Essen, Duisburg, 2015
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Mohamed Rawash Performance analysis of clustered SS 2018CDMA-OQAM-OFDM Networks