Electromagnetic radiation compliance under the use of green cell breathing and hybrid network approaches in LTE

The purpose of this paper is to study the effects on electromagnetic field levels of the green cell breathing technique in mobile networks. Although a great number of papers dedicated to QoS, radio issues and energy savings of the cell breathing algorithms have already been proposed, to the best of our knowledge, none has analyzed the effect on electromagnetic radiation. Yet, when cell sizes are changed (and specifically increase), it is evident that in some cases, the transmitted or received powers increase. We analyze the problem taking into account the different electromagnetic fields legal requirements and then estimate the received electric field for different cellular scenarios for LTE: a macro-only scenario, a macro scenario with cell-breathing and then a hybrid approach (femto/macro) combined with cell-breathing. Our simulation results show that given a number of radiation measurement sample points in a coverage zone, the percentage of threshold violations is exceeded by the use of cell breathing. This occurs when more exigent levels to those given in the ICNIRP recommendations are taken.

[1]  Loutfi Nuaymi,et al.  Analysis of the overall energy savings achieved by green cell-breathing mechanisms , 2012, 2012 Sustainable Internet and ICT for Sustainability (SustainIT).

[2]  Gerhard Fettweis,et al.  Traffic Demand and Energy Efficiency in Heterogeneous Cellular Mobile Radio Networks , 2010, 2010 IEEE 71st Vehicular Technology Conference.

[3]  Gerhard Fettweis,et al.  The global footprint of mobile communications: The ecological and economic perspective , 2011, IEEE Communications Magazine.

[4]  Gilbert Micallef,et al.  Cell size breathing and possibilities to introduce cell sleep mode , 2010, 2010 European Wireless Conference (EW).

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

[6]  Shimi Shilo,et al.  Green Cellular — Optimizing the cellular network for minimal emission from mobile stations , 2009, 2009 IEEE International Conference on Microwaves, Communications, Antennas and Electronics Systems.

[7]  K. P. Ray,et al.  Measurement and modeling of near- and far-field antenna factor , 1994, Proceedings of IEEE Symposium on Electromagnetic Compatibility.

[8]  Loutfi Nuaymi,et al.  Energy performance of a distributed BS based green cell breathing algorithm , 2012, 2012 International Symposium on Wireless Communication Systems (ISWCS).

[9]  Loutfi Nuaymi,et al.  Analysis of a green-cell breathing technique in a hybrid access network environment , 2013, 2013 IFIP Wireless Days (WD).

[10]  N. K. Agarwal,et al.  Measurement of antenna factor-a case study , 1997, Proceedings of the International Conference on Electromagnetic Interference and Compatibility '99 (IEEE Cat. No. 99TH 8487).

[11]  Wang Ju-liang,et al.  EMC Antenna Parameter Definitions and Their Relationships , 2010 .

[12]  Jacques Palicot Cognitive radio: an enabling technology for the green radio communications concept , 2009, IWCMC.