conference

1. 2023 International Conference on Computer
Communication and Informatics (ICCCI ), Jan. 23 – 25,
2023, Coimbatore, INDIA
Paper ID: 727
A NOVEL INTERFERENCE MITIGATION
TECHNIQUE AND SIGNAL PREDICTION IN
FUTURE WIRELESS COMMUNICATION

2. ABSTRACT
• Cellular systems are key enablers for wireless communication systems, allowing a huge
number of people to interact spontaneously. The fast growth of wireless technology has raised
data communication needs.
• A new concept of frequency reuse has been developed over spatial domain in cellular systems,
which is considered as the best encouraging standard for future mobile broadband services.
• Thus mobility management is the process to trace the Mobile Subscribers Unit(MSU) point
for handling over the data packets and retain a MSU link as it continuously changes its point
of connection.
• The use of frequency reuse in cellular systems to improve communication capacity and allow
for more users to interact simultaneously.

3. MOTIVATION BEHIND THIS PROJECT/NOVELTY
• The fast growth of wireless technology has increased the need for more efficient data
communication systems.
• Long Term Evolution(LTE) is considered as the best standard for future mobile broadband
services.
• Mobility management is crucial process in cellular systems to trace and retain mobile
connections.
• Improving the performance of downlink communications in mobile networks can enhance the
user experience.
• Lowering the size of mobile units can also improve performance and make the system more
efficient.

4. OBJECTIVE
• Space-Time Block Coding(STBC) in combination with the correlated frequency selective channels for
downlink communications in mobile networks, and the use of a MIMO profile and Maximum
Likelihood approach to improve performance.
• To achieve superior performance by reducing the size of the mobile unit and to study the concept of
frequency reuse in cellular systems to improve communication capacity and allow more users to
interact simultaneously.
• To analyze the performance of IDMA systems by iteratively decoding and comparing it to CDMA
systems.
• To provide a comprehensive descriptive of the IDMA system, including transmitter and receiver design,
and explain its advantages.

5. INTRODUCTION
• The aggressive development of wireless networks and increased use of palmtop and laptop devices show
a bright future for wireless systems. The growth in cellular networks and the number of mobile devices
users worldwide highlights the importance of efficient use of spectrum for better communication.
• TDMA and CDMA are being investigated for improved wireless system networks and the initiation of
the digital cellular network has paved the way for the growth of mobile data services and increasing
demand for next-generation communication systems.
• The 3rd generation cellular system offer higher data rate and many other applications and there is a
convergence in the regular transmission and networking environments for data, voice and multimedia
communications.
• Space-time coding, broadcasting diversity and MIMO channels are important considerations in current
research on wireless networks, as well as handoff techniques that allow for uninterrupted connections
between mobile stations and base stations.

6. PROPOSED METHOD
• IDMA is a chip-interleaved CDMA technique that offsets ISI and MAI and provides substantial processing gains.
The whole transmitting symbol bandwidth in IDMA systems is dedicated to channel encoding.
• IDMA uses different inter-leavers for different users, making it different from other techniques like FDMA and
TDMA. This principle allows for chip-by-chip identification and cancellation of least cases of other cell interference
and diversity against fading.
• IDMA has bandwidth, power efficient, and has numerous other advantages including fast fading, adaptation of rate
or power, lower delay, less complexity, and better distribution of resources.
• In IDMA system, the interleaving is done after spreading the word, and different data streams are discriminated by
various inter-leavers. The sequence undergoes Forward Error Correction(FEC) before spreading and after inter-
leaving.
• The BER performance of IDMA downlink communication can be improved by using a dual-polarized of IDMA
downlink communication can be improved by using a dual-polarized STBC-IDMA system with space-time transmit
diversity and polarization diversity.

7. DUAL POLARIZATION STBC-IDMA SYSTEM TRANSMITTER AND
RECEIVER STRUCTURE FOR DOWNLINK COMMUNICATION

8. PROPOSED ALGORITHM BLOCK DIAGRAM

9. ELLIOT WAVE THEORY
• Predicting mobile users signal strength in wireless communication is challenging, and the Elliot wave
theory is proposed as a possible method for forecasting mobile signal strength. It is claimed to be
unaffected by fading, user distance and antenna height.
• According to this Elliot wave theory, it has not been considered as a wireless handoff method yet, but it
may be useful in assisting the centralized network to deal with handoff difficulties.
• The Elliot wave theory is not commonly used in the wireless network sector, but it is suggested as a new
approached to develop wireless signal prediction algorithms.
• The proposed algorithm uses the golden ratio of Fibonacci and signal wattage to construct the Elliot
wave, by identifying the last four extreme points of the plot, and iteratively searching for the Elliot
wave between these points.
• This Elliot wave theory does not require any extra hardware or any resources to perform handoffs.

10. STBC-IDMA BER PERFORMANCE
BER SNR(dB)
Uni-Polarized 10-3 10 dB
Dual-Polarized 10-3 12.5 dB
BER-BIT ERROR RATE
SNR-SIGNAL TO NOISE RATIO

11. DSTTD-IDMA TRANSMITTER WITH 256 AND 64 QUANTIZATION LEVELS OF
SUI-3 CHANNEL MODEL
BER SNR(dB)
64 QUANTIZATION LEVELS 10-4 0.6 dB
256 QUANTIZATION LEVELS 10-4 0.3 dB
BER-BIT ERROR RATE
SNR-SIGNAL TO NOISE RATIO

12. DSTTD-IDMA TRANSMITTER WITH 256 AND 64 QUANTIZATION LEVELS USING
LTE-VEHICULAR CHANNEL MODEL
BER SNR(dB)
64 QUANTIZATION LEVELS 10-4 -0.2 dB
256 QUANTIZATION LEVELS 10-4 -0.4 dB
BER-BIT ERROR RATE
SNR-SIGNAL TO NOISE RATIO

13. RESULT
BER SNR(dB)
64 QUANTIZATION LEVELS 10-4 -0.25 dB
256 QUANTIZATION LEVELS 10-4 -0.5 dB
• Our results delivers higher Bit Error Rate(BER) performance utilizing Channel State Information(CSI) with
256 quantization for phases and magnitudes.
BER-BIT ERROR RATE
SNR-SIGNAL TO NOISE RATIO
CSI-CHANNEL STATE INFORMATION

14. CONCLUSION
• The IDMA system is considered as a promising technology by the academic research community, as it
has the potential to improve error rate performance by suppressing ISI and MAI effects. Additionally,
it can outperform CDMA systems by iteratively decoding the algorithm.
• Adopting low rate spreading codes and giving the whole transmitting symbol's bandwidth to low-rate
channel encoding contributes to maximum processing gain while improving error rate performance
with minimal SNR.
• The IDMA system has a comprehensive transmitter and receiver design, and its advantages have been
explained in detail.
• Assessing IDMA BER using Space Time Transmit diversity among correlated frequency-selective
channels, simulations show that MUTP improves ER with reduced SNR, Decreases MUI and CCI and
boosts transmission throughput.
• The IDMA technology is considered as a promising future direction in the wireless communication
field, and further research is needed to explore its potential further.

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17. THANK YOU