Description: “Green” has nowadays become a well-­‐known concept and an appealing trend. Efforts to reduce energy consumption are now important topics in wireless communication networks. One example is the battery-­‐less Wireless Sensor Networks (WSNs). WSN features the potential for a broad range of applications including environmental sensing, industrial monitoring, health care etc. As a natural consequence WSNs have attracted a lot of interest in recent years. However, most existing WSN nodes are powered by batteries. The use of batteries limits the widespread deployment of WSNs, as regular replacement of batteries is too costly. Thanks to recent advances in energy efficient technologies, WSNs are at the brink of a breakthrough, as truly “green” battery-­‐less operation is becoming feasible.

Green wireless communication networks mainly focus on energy efficiency improvement, aiming at the realization of low power, sustainable, or battery-­‐ less operation of the networks. It involves multidisciplinary research covering advanced topics from hardware architectures (smart antennas, microwatt transceivers, energy harvesting) to signal processing (data fusion, compressed sensing) and protocol techniques. This course provides an overview of the challenges and progresses within this area. In addition, the course addresses the principles and design methods of different technologies enabling the future generation green wireless communication networks (mainly on WSN and 5G wireless systems). The topics include:
• Green wireless communication networks: an overview
• Microwatt transceivers and energy harvesting for battery-­‐less WSNs
• Multiple-­‐antenna technologies for 5G wireless systems
• Energy-­‐efficient data fusion for wireless communication networks
• Compressed sensing for power efficient communication
• Protocol techniques for green and tactile 5G networks
Prerequisites: Basic circuit theory, basic physics, basic knowledge on wireless
communication systems, elementary knowledge on wireless sensor networks.


Lecturers: Ming Shen,, Jan H. Mikkelsen,, Associate Professor Elisabeth De Carvalho, Aalborg University Associate Professor Jan H. Mikkelsen, Aalborg University Associate Professor Zheng-­‐Hua Tan, Aalborg University, Associate Professor Daniel Enrique Lucani Roetter, Aalborg University, Assistant Professor Thomas Arildsen, Aalborg University and Assistant Professor Ming Shen, Aalborg University

ECTS: 1.5

Time: 13-17 April, (5 session in 5 days, 2 hours each), 2015

Place: Aalborg University, Niels Jernes Vej 12

Zip code: 9220

City: Aalborg

Number of seats: 30

Deadline: 10 April, 2015