Dynamic energy efficient distance-aware Base Station switch on/off scheme for LTE-advanced

Reducing the energy consumption in wireless networks has become a significant problem, not only because of its great impact on the global energy crisis, but also because it represents a noteworthy cost for telecommunication operators. The Base Stations (BSs), constituting the main component of wireless infrastructure, are intended to serve their customers during peak time periods. On the other hand, they are more than sufficient when the traffic load is low. Our paper proposes a solution for the problem of inefficient use by using a dynamic BSs switch on/off algorithm. We demonstrate via analysis and simulations that we can achieve significant reduction in energy consumption when we dynamically switch off the unnecessary BSs depending on the traffic variations and the distance between the User Equipments (UEs) and their associated BS. While maintaining the Quality of Service (QoS), we calculate the maximum number of BSs that can be switched off considering the time varying characteristic of the traffic pattern.

[1]  Zhifeng Zhao,et al.  Towards Green Wireless Access Networks ( Invited Paper ) , 2010 .

[2]  Josip Lorincz,et al.  Optimized network management for energy savings of wireless access networks , 2011, Comput. Networks.

[3]  Luis Alonso,et al.  "Green" distance-aware base station sleeping algorithm in LTE-Advanced , 2012, 2012 IEEE International Conference on Communications (ICC).

[4]  Bhaskar Krishnamachari,et al.  Energy Savings through Dynamic Base Station Switching in Cellular Wireless Access Networks , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[5]  Xianfu Chen,et al.  Towards green wireless access networks , 2010, 2010 5th International ICST Conference on Communications and Networking in China.

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

[7]  C. Collier AN INEFFICIENT TRUTH , 2011 .

[8]  G. Fettweis,et al.  ICT ENERGY CONSUMPTION – TRENDS AND CHALLENGES , 2008 .

[9]  Marco Ajmone Marsan,et al.  Energy-Aware UMTS Access Networks , 2008 .

[10]  Vasilis Friderikos,et al.  Switching off low utilization base stations via store carry and forward relaying , 2010, 2010 IEEE 21st International Symposium on Personal, Indoor and Mobile Radio Communications Workshops.

[11]  Tarik Taleb,et al.  Self Organized Network Management Functions for Energy Efficient Cellular Urban Infrastructures , 2012, Mob. Networks Appl..