Abstract:Abstract-Using energy generated with fossil fuel causes global warming due to the greenhouse effect, which threatens our environment. One of the challenges for New Generation Networks (NGN) is then the reduction of energy consumption, in particular at the BSs (Base Stations) which use about 85% of the total network energy. We contribute to the research with a mathematical model that calculates the total power consumption of a BS and enlightens the way to minimize it. First, we analyze the power consumed at eve… Show more
“…The adoption of mobile technology by citizens of a country positively affects both the income of its citizens as well as the gross domestic product (GDP) of the country. At the same time growing carbon footprint of Telecommunication industry has been a cause of concern and green communications has been the goal of next generation cellular systems ( [6], [35]). Thus, this paper addresses the question of providing Quality of Service (QoS) to real time applications while minimizing the transmit power.…”
Section: Introductionmentioning
confidence: 99%
“…Consider the example of 15 nodes of Section V. There are two source-destination pairs (1,8) and (2,6). We have no direct links between source-destination pair.…”
Abstract-We consider optimal/efficient power allocation policies in a single/multihop wireless network in the presence of hard end-to-end deadline delay constraints on the transmitted packets. Such constraints can be useful for real time voice and video. Power is consumed in only transmission of the data. We consider the case when the power used in transmission is a convex function of the data transmitted. We develop a computationally efficient online algorithm, which minimizes the average power for the single hop. We model this problem as dynamic program (DP) and obtain the optimal solution. Next, we generalize it to the multiuser, multihop scenario when there are multiple real time streams with different hard deadline constraints.
“…The adoption of mobile technology by citizens of a country positively affects both the income of its citizens as well as the gross domestic product (GDP) of the country. At the same time growing carbon footprint of Telecommunication industry has been a cause of concern and green communications has been the goal of next generation cellular systems ( [6], [35]). Thus, this paper addresses the question of providing Quality of Service (QoS) to real time applications while minimizing the transmit power.…”
Section: Introductionmentioning
confidence: 99%
“…Consider the example of 15 nodes of Section V. There are two source-destination pairs (1,8) and (2,6). We have no direct links between source-destination pair.…”
Abstract-We consider optimal/efficient power allocation policies in a single/multihop wireless network in the presence of hard end-to-end deadline delay constraints on the transmitted packets. Such constraints can be useful for real time voice and video. Power is consumed in only transmission of the data. We consider the case when the power used in transmission is a convex function of the data transmitted. We develop a computationally efficient online algorithm, which minimizes the average power for the single hop. We model this problem as dynamic program (DP) and obtain the optimal solution. Next, we generalize it to the multiuser, multihop scenario when there are multiple real time streams with different hard deadline constraints.
“…For example, the authors in [2,3] proposed a mathematical model that calculates the total power consumption of a BS and turns off the BS's power amplifiers according to traffic load. The authors in [4] focused on relays and MIMO systems for energy efficiency.…”
To allow rapid growth of the number of base stations, reducing the energy consumption of the stations, as the main energy consumers in cellular networks, has become an important research topic. In this paper, we attempt to find an adaptive cell zooming method to reduce the energy consumption of base stations. The cell zooming mechanism was formulated as an optimization problem with consideration of varying traffic patterns and interference, as well as the service availability of the whole area. Simulations were then conducted to verify the performance of the proposed cell zooming method. The simulations considered varying traffic conditions, both timely and spatially, in traditional 19-cell configuration. The proposed scheme demonstrated reduction of energy consumption of up to 4.72 times for urban environments and 3.78 times for rural environments against traditional static cell operation.
“…In [6], the reduction of power consumption induced by MBSFN sub-frames is studied. In [7], the power amplifier is switched on and off to save energy while maintaining the cell coverage and quality of service. In those three papers, power control is not used and user are always served using the whole available power.…”
International audienceThe use of power control (PC) and discontinuous transmission (DTx) can reduce the average power consumption of mobile base stations (BS). In this paper, the power consumption of a picocell or a femtocell are analyzed in a time division multiple access (TDMA) scenario. The minimization of the power consumption is viewed as a constrained optimization problem and a closed form of the compromise between transmit power and transmission time which minimizes the average power consumption is found. Moreover, we show that for a base station with a low transmit power and a sufficient power saving during sleep mode, such as picocells and femtocells, the average power consumption is minimum when the service time is minimized. Finally, numerical results show that discontinuous transmission greatly decreases the average power consumption of the base station
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