American Journal of Engineering Research (AJER) 2015 American Journal of Engineering Research (AJER) e-ISSN: 2320-0847 p-ISSN : 2320-0936 Volume-4, Issue-12, pp-85-90 www.ajer.org Research Paper Open Access www.ajer.org Page 85 A Regression Analysis for Base Station Power Consumption under Real Traffic Loads – A Case of Nepal Madhu Sudan Dahal 1 , Shree Krishna Khadka 2 , Jagan Nath Shrestha 3 , Shree Raj Shakya 4 1,2,3,4 Center for Energy Studies (CES), Institute of Engineering (IOE) - Central Campus Pulchowk, Lalitpur Tribhuvan University (TU), Nepal Abstract- With the advent and rapid development of mobile and wireless technology, the field of Information and Communication Technology (ICT) has become so lucrative and expanding at an alarming rate. Correspondingly energy consumption is also growing at a staggering rate. With this note, mobile operators are already among the top energy consumer. As the mass deployment of 3G systems in developing countries and later 4G systems rolling out worldwide, mobile communication consume significant amount of energy with large electricity bills. More than 50% of the total energy is consumed by the radio access part, whereas 50-80% is used for the power amplifier. This paper critically analyses the power consumption of Base Stations (BSs) as per the traffic generated at various urban-dense location of Kathmandu, Nepal. It deals with real time traffic data on full load in per hour basis of ten BSs for consecutive ten days. The results revealed a linear relationship between the power consumption and traffic loads. As of findings, this paper vow an urgency to pursue an optimal capacity while designing wireless networks and also suggests an imperative pathways for energy efficient wireless communication. Keywords-Base Station Traffic;Power Consumption Modeling;Regression Analysis; Energy Efficient Wireless Communication I. INTRODUCTION Telecommunication is playing significant role in daily life of people in today’s globalization context. The tele - density has surged to 100% this year in Nepal [1]. Nepal had an annual GDP per capita of USD 696.9 in the year 2014 and for every 10% increase in broadband penetration provides a 1.38% increase in GDP [2]. The growing interest in new and reliable services in mobile communications has resulted in increased number of installed Base Stations (BSs) worldwide. In addition, the traditional concept of BS deployment assumes continuous operation in order to guarantee the quality of service anywhere and anytime. Both of these reasons have synergetically contributed during the last decade to the significant growth of the total energy consumed by BSs of cellular network operators. In the case of Italy, the average yearly consumption of a BS is ca. 35,500kWh, considering that in Italy there are about 60,000 BSs, the total average yearly consumption of the Italian BTS sys-tem is ca. 2.1 TWh/year, which is the 0.6% of the whole national electrical consumption. In terms of economic and environmental impact, the data correspond to ca. 300 million euro yearly energy costs and ca. 1.2 Mton of CO2eq emitted in the atmosphere every year [3]. Sim-ilarly, about 3% or 600 TWh of the worldwide electrical energy is consumed by ICT sector. It is estimated that energy consumption for ICT sector will grow up to 1,700 TWh by 2030. The total global carbon footprint of ICT industries in the order of 860 million tons of CO2 which is about 2% of the global emissions [4]. Nepal is severely facing energy crisis with an aver-age 12 hours of load shedding per day. So the challenge is to provide reliable and cost effective power solution. For this, a power consumption model is developed as per traffic generated. BSs are the most energy consum-ing part of cellular mobile network with more than 50% share in total network consumption [5]. It is however important to determine the consumption of the whole wireless access network and thus to model the power consumption of each part of this network. Within these networks, 10% of the energy is consumed by the user terminals, while 90% is caused by the BSs. These num-bers indicated that the power consumption of wireless access networks is going to become an important issue in the coming years [6].