Title :
Energy efficient cooperation scheme for self-organized femtocells
Author :
Maryhan M. Mohamed;Fatma A. Newagy;Abdelhalim Zekry
Author_Institution :
Electronics and Communications Engineering Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt
Abstract :
Cooperation among self-organized femtocells (SOFs) becomes an optimization technique to induce a fair resource allocation. However, cooperation performance is restricted by backhaul limitations. In this paper, an energy efficient system design for cooperative SOFs is proposed. A new spectral resource management is used to avoid the uplink co-tier interference depending on less signaling overhead resulting from cooperation organization among SOFs. A model is built to the cooperation among the SOFs for resource allocation with minimum backhaul signaling traffic. The simulation results show that the proposed model guarantees different radio blocks allocation for femto-users affected by the co-tier interference. In addition, the proposed model will reduce the traffic of the cooperation by 45% of that of the conventional model. Finally, the proposed model performance in terms of latency and power consumption for different backhaul technologies is simulated. It is found that the signaling power consumption can be reduced from 814w to 159w. Therefore, our proposed cooperation model can be considered energy efficient.
Keywords :
"Femtocells","Interference","Sensors","Power demand","Resource management","Macrocell networks"
Conference_Titel :
Computer Engineering & Systems (ICCES), 2015 Tenth International Conference on
DOI :
10.1109/ICCES.2015.7393067