Dynamic energy-aware network re-configuration for cellular urban infrastructures

Energy saving management aims to match the capacity offered by operators to the actual traffic demand at off-peak times when the network load under-utilizes the maximum capacity dimension. Such a process is relatively complex in cellular infrastructures since mobility and user activity patterns may create load fluctuations. This paper introduces energy-aware network re-configuration methods to flexibly re-act to load variations encouraging none or minimal extra energy consumption. A simulation-based study evaluates the performance of the proposed schemes considering the network service quality and energy cost.

[1]  Béla Bollobás,et al.  Random Graphs , 1985 .

[2]  Ingo Viering,et al.  A Distributed Power Saving Algorithm for Cellular Networks , 2009, IWSOS.

[3]  Dirk Kutscher,et al.  Self-organized energy efficient cellular networks , 2010, 21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[4]  Zhang Chao,et al.  Green Mobile Access Network with Dynamic Base Station Energy Saving , 2009 .

[5]  Béla Bollobás,et al.  Random Graphs: Notation , 2001 .

[6]  L. Chiaraviglio,et al.  Optimal Energy Savings in Cellular Access Networks , 2009, 2009 IEEE International Conference on Communications Workshops.

[7]  K. Spaey,et al.  Self-organisation in wireless networks: use cases and their interrelations , 2009 .