FPGA Based Deep Learning Accelerator for RF Applications: A Design Framework

Recently, interest in the use of deep learning technology for RF applications has increased. However, many of these studies are focused on developing deep learning models for a particular RF application. Therefore this master thesis focuses on the implementation of these kinds of deep learning models by using FPGAs such that these deep learning...

Offline Power Allocation and Spectrum Sensing Strategy in Energy-Harvesting Cognitive Radio Networks

Energy-harvesting cognitive radio network has emerged as a solution to increase energy and spectrum efficiency. In this thesis, we propose short-term offline optimal power allocation algorithms for multi-user energy-harvesting cognitive radio networks considering interference between secondary users. Assuming finite and rechargeable batteries...

Cooperative Spectrum Sensing Algorithms in WBAN

Wireless Body Area Network (WBAN) is used for communication among sensor nodes operating on, in or around the human body in order to monitor vital body parameters and movements. A typical sensor node in WBAN should ensure accurate sensing of the signal from the body, carry out low-level processing of the sensor signal, and wirelessly transmit...

Node Selection Technique for Distributed Beamforming in Green Cognitive Radio Networks

The wide deployment of wireless sensor nodes for varieties of applications calls the need for distributed beamforming as a cooperative scheme to efficiently use spectrum, to improve communication range and to save precious battery power during transmission. Given that there are a large set of cooperative cognitive radio users, ensuring the...

Allocation of Opportunistic Spectrum for Cognitive Radio Ad hoc Networks

Cognitive Radios (CRs) address the problems of spectrum scarcity and under-utilization of the spectrum. However, realizing a CR network is neither easy nor straight-forward. The link layer in CR Ad hoc Networks is responsible for allocating suitable channels, out of the currently available channels. It is also responsible for setting up...

MIMO OFDM Channel Estimation with Optimum Pilot Patterns for Cognitive Radio in Overlay Spectrum Sharing System

The demand for high data rates in wireless communication systems is increasing as well the demand for new (communication) services. Expanding of existing services or introducing new services needs a portion in the radio spectrum. Mean while the radio spectrum is a scarce resource and is regulated by governmental regulations and policies....

Compressive Wideband Spectrum Sensing for Cognitive Radio Applications

It has been widely recognized that utilization of radio spectrum by licensed wireless systems, e.g., TV broadcasting, aeronautical telemetry, is quite low. In particular, at any given time and spatial region, there are frequency bands where there is no signal occupancy. There has been recent interest in improving spectrum utilization by...