On performance bounds for the integration of elastic and adaptive streaming flows
Proceedings of the joint international conference on Measurement and modeling of computer systems
Insensitive queueing models for communication networks
valuetools '06 Proceedings of the 1st international conference on Performance evaluation methodolgies and tools
The random trip model: stability, stationary regime, and perfect simulation
IEEE/ACM Transactions on Networking (TON)
Accounting for the energy consumption of personal computing including portable devices
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
Capacity gains of some frequency reuse schemes in OFDMA networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Interference-aware energy-efficient power optimization
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Power control for soft fractional frequency reuse in OFDMA system
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part III
Multiuser OFDM with adaptive subcarrier, bit, and power allocation
IEEE Journal on Selected Areas in Communications
MobiSIM: a simulation library for resource prediction of smartphones and wireless sensor networks
Proceedings of the 46th Annual Simulation Symposium
Energy-efficiency analyses of heterogeneous macro and micro base station sites
Computers and Electrical Engineering
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We study the energy consumptions of two strategies that increase the capacity of an LTE network: (1) the deployment of redundant macro and micro base stations by the operator at locations where the traffic is high, and (2) the deployment of publicly accessible femto base stations by home users. Previous studies show the deployment of publicly accessible residential femto base stations is considerably more energy efficient; however, the results are proposed using an abstracted model of LTE networks, where the coverage constraint was neglected in the study, as well as some other important physical and traffic layer specifications of LTE networks. We study a realistic scenario where coverage is provided by a set of non-redundant macro-micro base stations and additional capacity is provided by redundant macro-micro base stations or by femto base stations. We quantify the energy consumption of macro-micro and femto deployment strategies by using a simulation of a plausible LTE deployment in a mid-size metropolitan area, based on data obtained from an operator and using detailed models of heterogeneous devices, traffic, and physical layers. The metrics of interest are operator-energy-consumption/total-energy-consumption per unit of network capacity. For the scenarios we studied, we observe the following: (1) There is no significant difference between operator energy consumption of femto and macro-micro deployment strategies. From the point of view of society, i.e. total energy consumption, macro-micro deployment is even more energy efficient in some cases. This differs from the previous findings, which compared the energy consumption of femto and macro-micro deployment strategies, and found that femto deployment is considerably more energy efficient. (2) The deployment of femto base stations has a positive effect on mobile-terminal energy consumption; however, it is not significant compared to the macro-micro deployment strategy. (3) The energy saving that could be obtained by making macro and micro base stations more energy proportional is much higher than that of femto deployment.