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Reducing power consumption of mobile access networks with cooperation

Published: 31 May 2011 Publication History

Abstract

The base stations of modern mobile access networks do not only provide high data rates but also consume large and barely varying amounts of power. When the load on the network is low it consumes much more power than necessary. We answer the question of how much power can be conserved in mobile access networks when some base stations use cooperative transmissions to extend their range while others are deactivated. In addition, we analyze the effect of different path-loss exponents and varying number of cooperating base stations.
First, we analytically show how it is possible to cover an area with fewer base stations when their range is extended by cooperation. Second, we create and solve an optimization model that describes the power necessary to cover a given area. The analytical results show that the area a base station covers can be significantly increased when cooperative transmissions are introduced. The optimization model shows us that only a few base stations need to cooperate to significantly reduce the power consumption. Both models show that scenarios with a low path-loss exponent are best suited to conserve power by cooperation.
We conclude that it is reasonable to let a small number of base stations cooperate to reduce the overall power consumption of mobile access networks when the load is low.

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      cover image ACM Other conferences
      e-Energy '11: Proceedings of the 2nd International Conference on Energy-Efficient Computing and Networking
      May 2011
      113 pages
      ISBN:9781450313131
      DOI:10.1145/2318716
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 31 May 2011

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      Author Tags

      1. base station cooperation
      2. base station placement
      3. spatial diversity

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      • (2019)Energy Efficient Adversarial Routing in Shared ChannelsThe 31st ACM Symposium on Parallelism in Algorithms and Architectures10.1145/3323165.3323190(191-200)Online publication date: 17-Jun-2019
      • (2019)An Efficient Energy Saving Sink Selection Scheme with the Best Base Station Placement Strategy Using Tree Based Self Organizing Protocol for IoTWireless Personal Communications: An International Journal10.1007/s11277-019-06595-5109:2(869-895)Online publication date: 1-Nov-2019
      • (2018)Efficient Receive Diversity in Distributed Sensor Networks Using Selective Sample ForwardingIEEE Transactions on Green Communications and Networking10.1109/TGCN.2017.27801962:2(336-345)Online publication date: Jun-2018
      • (2018)Improving Energy Efficiency in Backhaul of Lte-A Network With Base Station CooperationProcedia Computer Science10.1016/j.procs.2018.10.378143(843-851)Online publication date: 2018
      • (2017)GreenCoMPIEEE Transactions on Mobile Computing10.1109/TMC.2016.253823116:1(143-157)Online publication date: 1-Jan-2017
      • (2017)ReferencesGreen Mobile Networks10.1002/9781119125099.refs(279-297)Online publication date: 25-Mar-2017
      • (2016)The role of multimedia source codecs in green cellular networks2016 IEEE Wireless Communications and Networking Conference10.1109/WCNC.2016.7565110(1-6)Online publication date: Apr-2016
      • (2015)Integrating cross-layer LTE resources and energy management for increased powering of base stations from renewable energy2015 13th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)10.1109/WIOPT.2015.7151111(498-505)Online publication date: May-2015
      • (2014)Traffic management for sustainable LTE networks2014 IEEE Global Communications Conference10.1109/GLOCOM.2014.7037202(2618-2623)Online publication date: Dec-2014
      • (2013)Architecture for green mobile network powered from renewable energy in microgrid configuration2013 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC.2013.6554747(1273-1278)Online publication date: Apr-2013
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