TOP LOC 272023 Cognitive & Software Defined Radio

Welcome to the “Cognitive and Software Defined Radio” course offered in cooperation with the Medipol University in Istanbul /Turkey.

Today's wireless services have come a long way since the rollout of the conventional voice-centric cellular systems. The demand for wireless access in voice and high data rate multi-media applications has been increasing. New generation wireless communication systems are aimed at accommodating this demand through better resource management and improved transmission technologies. The interest in increasing the Spectrum Access and improving the Spectrum Efficiency combined with both the introduction of Software Defined Radios and the realization of the idea that machine learning can be applied to radios has created new intriguing possibilities for wireless radio researchers. This course targets to discuss the cognitive radio, software defined radio, and adaptive radio concepts from several aspects.

Target Group

Engineers, Technicians and Administrators

Your Benefits

By the completion of the "Cognitive and Software Defined Radio" course, you will have achieved the following outcomes:

Understand the evolution of wireless communication systems from voice-centric to data-intensive applications and recognize the role of cognitive and software-defined radio in meeting the demands of this transformation.
Evaluate the diverse applications of Software Defined Radio (SDR) in advanced communication systems, identifying its role in enabling flexible and adaptable wireless technologies.
Identify and address challenges associated with implementing SDR, including hardware constraints, signal processing complexities, and compatibility issues in heterogeneous networks.
Gain proficiency in adaptive wireless communication systems, learning to dynamically adjust transmission parameters based on changing environments and learning factors.
Utilize parameter estimation techniques to facilitate the adaptation of wireless communication systems, considering factors such as the learning environment and surrounding conditions.
Grasp the architectures of Software Defined Radio and Cognitive Radio, deciphering their functionalities and applications in spectrum-efficient communication.
Explore techniques for enhancing spectrum efficiency and soft spectrum usage, enabling better utilization of available frequency bands through cognitive awareness.
Cultivate a deep understanding of multi-dimensional spectrum awareness, enabling you to analyze, interpret, and exploit spectral resources effectively.
Apply cognitive radio concepts specifically to public safety communication scenarios, recognizing its potential to improve emergency communication and response systems.
Analyze the incorporation of cognitive features in upcoming wireless standards like 5G and 6G, and predict their impact on communication technology advancement.
Achieve proficiency in spectrum, network, context, environment, and location awareness for cognitive radio, enabling dynamic adaptation to changing conditions.
Develop the skills to design blind receivers, enhancing the ability to extract useful information from received signals without prior knowledge of the transmitted data.
Investigate Cognitive Orthogonal Frequency Division Multiplexing (OFDM(A)) systems, gaining insights into their architecture and potential benefits.
Study the integration of Ultra-Wideband (UWB) technology with cognitive radio, exploring both underlay and overlay scenarios for enhanced spectrum utilization.
Learn strategies to address interference issues and enhance signal awareness in cognitive radio systems, ensuring reliable communication in dynamic environments.
Explore the complexities of vertical hand-off and network interoperability, gaining the expertise to enable seamless transitions between multi-tier networks.
Develop the ability to address sampling, Analog-to-Digital Converter (ADC), and Digital-to-Analog Converter (DAC) challenges in cognitive radio and SDR systems.
Explore multi-rate processing techniques and auto-rate detection mechanisms, ensuring efficient data transmission and reception in adaptive communication systems.

Methods

Instructor Leader Led/ILL: Physical classroom environment

Key Features

Application of SDR in advanced communication systems
Challenges and issues regarding the implementation of SDR
Adaptive wireless communication systems
Parameter estimation for adaptation of wireless communication systems (learning environment and other factors)
SDR and cognitive radio architectures
Spectrum efficiency and soft spectrum usage  Multi-dimensional spectrum awareness
Applications of cognitive radio (specifically for public safety)
Cognitive features in the upcoming wireless standards (5G and 6G)
Spectrum, network, context, environment, location awareness for cognitive radio
Blind receiver design
Cognitive OFDM(A)
UWB and Cognitive radio (underlay and overlay)
Interference awareness
Signal analysis, signal awareness
Vertical hand-off and network interoperability - network awareness, multi-tier networks
Sampling and ADC/DAC issues in CR and SDR
Multi-rate processing, sampling rate adjustments. Auto-rate detection and adjustments