On dynamic policies to switch off relay nodes

Regenerative (or non-regenerative) wireless relays have recently emerged as a key technology for future and emerging mobile wireless networks, since they allow quick network roll out and improved capacity and coverage of existing networks. Nonetheless, the usefulness of extra capacity (and/or coverage) afforded by relay nodes is largely wasted insofar as the network load is small. This is because the base station (BS) can leverage the spare radio resources to serve the users. Hence, in time periods of low utilization wireless relays can be potentially switched off so that the overall energy consumption of the network is reduced. In this paper dynamic decision rules are derived to switch off relay stations with a view to increase the energy efficiency of mobile relay-aided cellular networks. Numerical investigations reveal that the proposed schemes provide significant benefits in terms of energy consumption compared to the standard “always-on” policy for relay nodes.

[1]  Holger Claussen,et al.  Improving Energy Efficiency of Femtocell Base Stations Via User Activity Detection , 2010, 2010 IEEE Wireless Communication and Networking Conference.

[2]  Zhisheng Niu,et al.  Cell zooming for cost-efficient green cellular networks , 2010, IEEE Communications Magazine.

[3]  Hisashi Kobayashi,et al.  Generalized loss models and queueing-loss networks , 2002 .

[4]  Liesbet Van der Perre,et al.  Challenges and enabling technologies for energy aware mobile radio networks , 2010, IEEE Communications Magazine.

[5]  Sourjya Bhaumik,et al.  Breathe to stay cool: adjusting cell sizes to reduce energy consumption , 2010, Green Networking '10.

[6]  L. Correia,et al.  Spatial and temporal traffic distribution models for GSM , 1999, Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324).

[7]  Antti Toskala,et al.  LTE for UMTS - OFDMA and SC-FDMA Based Radio Access , 2009 .

[8]  Ekram Hossain,et al.  Multihop Cellular Networks: Potential Gains, Research Challenges, and a Resource Allocation Framework , 2007, IEEE Communications Magazine.

[9]  Gerhard Fettweis,et al.  Power consumption modeling of different base station types in heterogeneous cellular networks , 2010, 2010 Future Network & Mobile Summit.

[10]  Fernando J. Velez,et al.  Fixed WiMAX Profit Maximisation with Energy Saving through Relay Sleep Modes and Cell Zooming , 2011 .

[11]  Salah-Eddine Elayoubi,et al.  Sleep mode implementation issues in green base stations , 2010, 21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.