Although the increase of the frequency of online activities among users of mobile devices has been noted, over the last few years, there have been no significant achievements in improving the battery capacity. The demand for high data rate service is straining the current networks, as well as draining the batteries of mobile devices much faster than before. New, efficient approaches for network design are crucial.
That´s why a team of researchers from the University of Jyväskylä in Finland, and Tsingua University in Beijing, China, proposed a power allocation algorithm for collaborative mobile clouds with hybrid receivers. Zheng Chang, Tapani Ristaniemi, Jie Gong, Sheng Zhou and Zhisheng Niu worked on optimization of the energy-efficiency performance by using nonlinear fractional programming and dual decomposition. They have proved that by designing a proper power allocation scheme, it is possible to noticeably improve the level of energy efficiency. The new approach was introduced at the 1st International Conference on 5G for Ubiquitous Connectivity in December 2014.
Collaborative mobile clouds can be designed as a system where mobile terminals can not only keep in touch through messages, but also share content and information cooperatively through Device-to-Device or Machine-to-Machine communication.
A collaborative mobile cloud which consists of several mobile terminals offers the potential solution for reducing the energy consumption at the terminal side in the downlink. In addition, as a signal can carry both information and energy simultaneously, the induced simultaneous wireless information and power transfer is also capable of prolonging the battery of mobile terminals.
