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The inherent spatial, temporal and frequency variations are stochastically modelled following a duality principle, i. The applicability and limitations of all channel modeling approaches is comprehensively considered in terms of accuracy and complexity. One more advantage is that the adopted methodology can be readily adapted in the design of a wide range of wireless components and systems such as, multi-antenna systems, OFDM, CDMA receivers and physical layer security modules. Our research has focused on several aspects of the design of the technologies that enable the efficient information communication on wireless channel.

Our work also covers antenna and multi-antenna systems design and performance evaluation, together with hybrid beamforming and the potential of Visible Light Communication VLC for the future generation of cellular and wireless applications the 5G. Our school of thought relies on exploiting the physical layer attributes for designing such systems.

Multistatic radar systems

Our research focuses on reducing the energy bills for the network operators as well as saving the planet by reducing the carbon foot print of cellular networks. We look at energy efficient design at component level, energy harvesting solutions, efficient design of node level subsystems including power amplifier and then system level solutions like discontinuous transmissions and efficient cell-muting.

Cognitive radio networking is further exploited for high spectrum efficiency via cooperative and cluster based spectrum sensing algorithms. With the objective of minimizing leased spectrum cost, the user requests are served with the sensed spectrum or put in a time bound queue in case of free spectrum unavailability. We work on fundamental performance limits as well as practical solutions approaching these limits. We also look at disruptive new technologies like Device to Device and mm-Wave for their potential of energy efficient communications.

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Home Page International Journal of Sensors, Wireless Communications and Control

We have pioneering publications on the futuristic architecture of Control Data Split CDSA to enable energy efficient operation of cellular systems. We work on all aspects of Self-Organisation — including optimisation, configuration and healing capabilities. The main aim is to use the machine learning, artificial intelligence and other tools to implement a cellular operation that reduces the reliance on human resources and reduces the response time to any variations in the network environment.

This allows the network to reconfigure and optimise to any changes in the requirements. We work on exploiting the available data as well as the dark data in the network to achieve our SON objectives. As a research group, we holistically exploit our capabilities to provide solutions to the vertical industries exploiting the capabilities of wireless communications.

Frontiers in Massive Data Analysis

This includes but is not limited to smart cars, smart metering, smart manufacturing, financial markets, ultra-reliable communication, tactile internet, cost-effective solutions for covering rural areas, mHealth, Healthcare for underprivileged and Health Informatics, communications for learning and teaching solutions, delay tolerant services, use of Unmanned Aircraft Vehicles UAVs for different services, communication for reshaping energy demand, smart grid, Smart spaces, Mobile phone applications and many more areas.

Efficient control strategies are explored to provide a balance between electricity cost and consumer satisfaction in smart grid scenario including DC micro-grids. The optimization is achieved using Lyapunov optimization as well as sliding mode control. An intelligent energy management system is proposed which takes into account the randomness in availability of renewable energies and schedules the user load services accordingly.

The user load which is classified into delay tolerant and non-delay tolerant categories is served based on the availability of renewable energies. Big data offers many opportunities to mobile network operators and utility companies for improving quality of service. For future wireless communication networks, we explore various ways of integrating big data analytics with network optimization to improve network efficiency and user quality of experience.

Owing to their generic nature of the adopted modeling approaches expansion to other sectors can readily take place. For example in smart grids, we have considered the applications of big data in various sectors including renewable energy, energy demand response and electric vehicles in order to improve efficiency and accuracy of the smart grid. Various challenges need to be addressed including data uncertainty, quality and security. With the development of the nanotechnology, the idea of coordinating the nano-devices was put forward, leading to the appearance of the nano-network. Nano-technology has a critical role now a days in multidisciplinary domains such as environmental, industrial, biomedical and military; one of the emerging social and scientific impact of such technology would be in healthcare and bioengineering applications.

The main objective of this research is to investigate the possibility of connecting nano-devices securely by using various communication paradigm for different applications like biomedical and environmental. Emphasis of research will be on developing novel channel models, investigation of feasible modulation techniques and new physical layer security protocols for nano-devices.

Increased use of nuclear materials in nuclear power generation and other applications introduce significant demand for radiation detection and imaging systems. Fast and accurate detection, location and identification supports the public acceptance of nuclear technology by preventing nuclear terrorism as well as accelerating the decommissioning. This necessitates further development of existing techniques to overcome the current issues such as helium-3 supply issues, or to develop novel alternative techniques and systems which can be mass-produced easily and cheaply to detect and locate radioactive materials more precisely and efficiently.

Our research has focused mainly on the development of new techniques and instrumentation to image and discriminate radioactive sources, and based on scintillator detectors and pulse shape discrimination technologies. With the expected exponential growth of this market, resulting from the increase of data rates with the launch of 5G networks, the energy consumption of wireless networks is expected to increase dramatically.


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Energy harvesting EH is a promising solution to combat the energy inefficiency problem and make wireless network sustainable. The main idea for EH communication is to generate energy from the sources which do not cause CO 2 emissions, e. In contrast to regular power supply solutions where a fixed amount of power is available throughout the operation, EH communication solutions are time dependent and the energy availability is a stochastic process.


  • Master in Wireless Communications Engineering, Oulu, Finland /.
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  • Master in Wireless Communications Engineering;

The system design philosophy for the sustainable EH communication system requires time domain optimization of the system resources such that energy is available before it is required. Add to Wishlist. USD Sign in to Purchase Instantly.

Radio Engineering for Wireless Communication and Sensor Applications

Overview Covering a wide range of application areas, from wireless communications and navigation, to sensors and radar, this practical resource offers you the first comprehensive, multidisciplinary overview of radio engineering. About the Author Antti V. Average Review. Write a Review. Related Searches. Coherent And Nonlinear Lightwave Communications. This comprehensive guide presents a systematic, up-to-date review of modulation and detection principles, and provides This comprehensive guide presents a systematic, up-to-date review of modulation and detection principles, and provides new insights into recent research in modern telecommunications.

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