Electromagnetic spectrum is a limited natural resource and needs to be used efficiently. However, various measurements conducted worldwide have observed poor spectrum utilization. Software defined radios (SDRs) and cognitive ...

Cloud Labs enable hardware based courses in remote environments and developing self paced learning modules. The integrated hardware and software solutions developed allow for remote access to physical labs and offer a ...

Autonomous vehicles are becoming prevalent day-by-day, and with the advent of such technology comes its various safety risks and challenges. The primary objective is to improve road safety and mobility for all users. The ...

Next generation wireless communication systems are expected to support high-mobility Vehicle to everything (V2X) communication services in sub-6 GHz as well as millimeter wave spectrum. This demands accurate tracking of ...

Embedded System labs involve working on Field Programmable Gate Arrays (FPGAs) and Zynq System-on-Chips (SoC). The key aspect is that these boards can be programmed and tested remotely. However, conducting remote labs for ...

With recent advancements in AI algorithms, data processing for AI applications is primarily done in a cloud-based data center with deep-learning models that require massive computing capacity. The decision-making process ...

The evolution of conventional field-programmable gate array (FPGA) platforms to all programmable multi-processor system-on-chip (MPSoC) platforms in the last decade has comprehensively addressed the scalability and flexibility ...

Channel encoder and decoder are critical components of the wireless physical layer (PHY), enabling the transceiver to overcome transmission errors due to wireless channel fading and interference. In 5G, polar encoder and ...

The latest advancements in the field of 5G telecommunications have proposed the requirements of high speeds (~1 Gbps per user) and low latency (< 1 ms) for a new world of possible applications such as AR/VR, autonomous ...

Opportunistic spectrum access (OSA) in a decentralized network is a challenging problem since each unlicensed user (i.e. cognitive radio (CR)) needs to characterize frequency bands as per the occupancy statistics of multiple ...