MANDI: Researchers at the Indian Institute of Technology Mandi have developed state-of-art solutions for future 5G and 6G wireless communication technologies for enhancing spectral efficiency.

According to IIT Mandi spokesperson, researchers have developed  digital CSR ASIC-chip. This chip delivers excellent detection reliability of the Primary users (PU) under real-world channel scenarios with the best hardware efficiency and fast sensing time. 

The CSR chip can be used with any handheld mobile wireless communication device for accessing the unused spectrum.

Specifically, it can be used in future 5G and 6G wireless communication technologies for enhancing spectral efficiency.

In addition, this will enable massive deployment of Internet of Things (IoT) -based networks where numerous connected devices can use spectrum holes for break-less communication.

The specific uses of cooperative spectrum-sensing technology in India cannot be understated. It will help in establishing broadband services in remote and rural parts of the country.

The recent development of cooperative spectrum sensors enhances the reusability of radiofrequency spectrum. It can meet the growing demands of data communication in the future wireless communication applications.

The findings of their work have recently been published in IEEE Transactions on Consumer Electronics, and other IEEE journals such as IEEE Transactions on Very Large-Scale Integration (VLSI) Systems and IEEE Transactions on Circuits and Systems - I.

These papers have been authored by Dr Rahul Shrestha, Assistant Professor, School of Computing and Electrical Engineering, IIT Mandi, and his Ph.D. scholar Mr. Rohit B. Chaurasiya.

Radiofrequency waves or “spectrum” as they are known in the telecommunication field, are low energy radiation that is used in wireless communication. 

The wireless radiofrequency spectrum is a limited resource and is allocated by Governments to telecom companies through a licensing process.

Due to rapid growth in wireless communication technology in recent years, demand for spectrum bands has also increased rapidly.

This demand will increase exponentially further due to mass adoption of technology such as fifth-generation new-radio (5G-NR) and the Internet of Things (IoT). 

Dr. Rahul Shrestha, Assistant Professor, IIT Mandi, said, “Given the fixed-spectrum allocation policy by many governments around the world, including ours, it becomes important to use the available spectrum intelligently. Cognitive Radio Technology is considered one of the best ways to optimize spectrum use.”

Not all parts of the spectrum band licensed to a telecom company (called primary user or PU) are used all the time by the PU. 

The idea of Cognitive Radio Technology is that a wireless device such as a cell phone, used by the secondary user (SU) can be fitted with a special sensor that can detect such “spectrum holes”. The holes are spectrum parts that are not used by the PU and use them when the main channel is unavailable or crowded.

This forms the basis of a dynamic-spectrum access policy that can overcome shortages of available spectrum at a given time.

The spectrum-hole detecting sensor that is built into the SU’s device is called a Stand-Alone Spectrum Sensor (SSSR).

Dr. Rahul Shrestha, said, “The SSSR’s detection capability is often less than satisfactory due to problems such as hidden-node and signal-to-noise ratio (SNR)-wall problems.  This leads to the unreliability of performance when the SSSR is used in real-time.”

The team's research work seeks to circumvent the above problem.  The work is on a technology in which the wireless device at the SU end is not equipped with a SSSR, but rather transmits the received parts from the spectrum band to a data-fusion center (DFC).

The DFC then digitizes these parts and processes them using a single cooperative-spectrum sensor (CSR) instead of using device-level SSSR. 

The reliable decision is broadcast to all the SU devices for opportunistic communication.

Mr. Rohit B. Chaurasiya explains that they have proposed implementation-friendly algorithms for cooperative spectrum sensing with lower computational complexity. “We have also developed multiple new hardware-architectures for CSR and their submodules.”