An interference shaping based approach for energy saving of video applications

Advances in wireless communication techniques enable pervasive and ubiquitous video applications. Among different factors concerned, energy efficiency is one of the most challenging issues in multimedia communication due to huge data traffic. Dynamic bursty interference sourcing from transmission of best effort service can make the Signal-to-Interference-plus-Noise-Ratio (SINR) of video traffic fluctuate drastically. To obtain the target SINR, Home eNodeB (HeNB) needs to frequently increase transmit power, resulting in considerable extra energy consumption. In addition, if the required transmit power to maintain target SINR exceeds the maximum power threshold, serving HeNB would keep transmitting with maximum power which produce extra interference and may cause some other users also couldn´t reach their target SINRs. To solve the problem, we propose an interference shaping based approach to smooth the SINR fluctuation in the time domain and achieve the goal of energy saving. Numerical results show that about 30% energy can be saved applying our approach.