Energy-efficient inter-RAN cooperation for non-collocated cell sites with base station selection and user association policies

Conventional planning and optimization of cellular mobile networks for supporting the peak-time user demand leads to substantial wastage of electrical energy. Infrastructure sharing among geographically collocated networks is considered promising for energy efficient operation of future cellular systems. Therefore, this paper proposes a generalized energy-efficient cooperation framework for sharing BSs between two cellular radio-access networks (RANs) serving the same geographical area. Previous works have the constraint of cooperation only among the collocated BSs belonging to different RANs, while the proposed framework is free from such limitation. To the best of our knowledge, this paper is the first for developing cooperation mechanisms among the non-collated BSs. Independent Poisson point process is used for modeling the near realistic random locations of both BSs and user equipment (UEs). Under the proposed framework, BSs belonging to different RANs dynamically share each others traffic and thus allow some BSs to switch into low power sleep mode for saving energy. During this BS switching through traffic-sharing, connection continuity (no drop of the existing calls) is maintained throughout the network. A generalized optimization problem for maximizing energy savings is formulated. Due to the high complexity of the optimization problem, heuristically guided algorithms differing in BS selection and UE association policies are proposed. More specifically, two different BSs selection schemes and three separate UE association policies are integrated in the algorithms. Performance of the proposed inter-RAN cooperation framework is evaluated using extensive simulations demonstrating a substantial energy savings and gain in energy efficiency. Impact of different network parameters, such as BS selection and UE association policies, BS and UE densities, BS power profile and SINR requirements for connection continuity on the system performance is thoroughly investigated and analyzed.

[1]  Luis Alonso,et al.  Cooperative Base Station Switching Off in Multi-Operator Shared Heterogeneous Network , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).

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

[3]  M. Cetron,et al.  Energy efficiency enhancements in radio access networks , 2004 .

[4]  Xiaohu You,et al.  Dynamic load balancing and throughput optimization in 3GPP LTE networks , 2010, IWCMC.

[5]  Chau Yuen,et al.  Energy Efficiency Tradeoff Mechanism Towards Wireless Green Communication: A Survey , 2016, IEEE Communications Surveys & Tutorials.

[6]  Ekram Hossain,et al.  Downlink Performance of Cellular Systems With Base Station Sleeping, User Association, and Scheduling , 2014, IEEE Transactions on Wireless Communications.

[7]  Jin Yang,et al.  Evolved Universal Terrestrial Radio Access Network (EUTRAN) , 2017 .

[8]  Zhisheng Niu,et al.  Toward dynamic energy-efficient operation of cellular network infrastructure , 2011, IEEE Communications Magazine.

[9]  Xianfu Chen,et al.  Energy saving through a learning framework in greener cellular radio access networks , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[10]  Weihua Zhuang,et al.  A Survey on Green Mobile Networking: From The Perspectives of Network Operators and Mobile Users , 2015, IEEE Communications Surveys & Tutorials.

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

[12]  Luis Alonso,et al.  Energy-efficient infrastructure sharing in multi-operator mobile networks , 2015, IEEE Communications Magazine.

[13]  Jie Gong,et al.  Green mobile access network with dynamic base station energy saving (インターネットアーキテクチャ) , 2009 .

[14]  Bhaskar Krishnamachari,et al.  Base Station Operation and User Association Mechanisms for Energy-Delay Tradeoffs in Green Cellular Networks , 2011, IEEE Journal on Selected Areas in Communications.

[15]  Bhaskar Krishnamachari,et al.  Microeconomic analysis of base-station sharing in green cellular networks , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

[16]  Gerhard Fettweis,et al.  Energy Efficiency Aspects of Base Station Deployment Strategies for Cellular Networks , 2009, 2009 IEEE 70th Vehicular Technology Conference Fall.

[17]  Haiyun Luo,et al.  Traffic-driven power saving in operational 3G cellular networks , 2011, MobiCom.

[18]  Martin Haenggi,et al.  Spatial Stochastic Models and Metrics for the Structure of Base Stations in Cellular Networks , 2013, IEEE Transactions on Wireless Communications.

[19]  Bhaskar Krishnamachari,et al.  Energy-aware hierarchical cell configuration: From deployment to operation , 2011, 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[20]  Bhaskar Krishnamachari,et al.  Dynamic Base Station Switching-On/Off Strategies for Green Cellular Networks , 2013, IEEE Transactions on Wireless Communications.

[21]  Bhaskar Krishnamachari,et al.  Energy Savings through Dynamic Base Station Switching in Cellular Wireless Access Networks , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[22]  Luis Alonso,et al.  Game-Theoretic Infrastructure Sharing in Multioperator Cellular Networks , 2016, IEEE Transactions on Vehicular Technology.

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

[24]  Zhang Chao,et al.  Green Mobile Access Network with Dynamic Base Station Energy Saving , 2009 .

[25]  Gerhard Fettweis,et al.  Power consumption modeling of different base station types in heterogeneous cellular networks , 2010, 2010 Future Network & Mobile Summit.

[26]  Marco Ajmone Marsan,et al.  Energy efficient management of two cellular access networks , 2010, PERV.

[27]  Abbas Jamalipour,et al.  On the impact of network geometric models on multicell cooperative communication systems , 2013, IEEE Wireless Communications.

[28]  Muhammad Ali Imran,et al.  How much energy is needed to run a wireless network? , 2011, IEEE Wireless Communications.

[29]  T. Mattfeldt.  Stochastic Geometry and Its Applications , 1996 .

[30]  Andreas Lobinger,et al.  Load Balancing in Downlink LTE Self-Optimizing Networks , 2010, 2010 IEEE 71st Vehicular Technology Conference.

[31]  Liesbet Van der Perre,et al.  Challenges and enabling technologies for energy aware mobile radio networks , 2010, IEEE Communications Magazine.

[32]  Luis Alonso,et al.  Game theoretic approach for switching off base stations in multi-operator environments , 2013, 2013 IEEE International Conference on Communications (ICC).

[33]  D. Stoyan,et al.  Stochastic Geometry and Its Applications , 1989 .

[34]  Samir Ranjan Das,et al.  Understanding traffic dynamics in cellular data networks , 2011, 2011 Proceedings IEEE INFOCOM.

[35]  Franco Davoli,et al.  Energy Efficiency in the Future Internet: A Survey of Existing Approaches and Trends in Energy-Aware Fixed Network Infrastructures , 2011, IEEE Communications Surveys & Tutorials.

[36]  Abbas Jamalipour,et al.  Two level cooperation for energy efficiency in multi-RAN cellular network environment , 2012, 2012 IEEE Wireless Communications and Networking Conference (WCNC).

[37]  Vijay K. Bhargava,et al.  Green Cellular Networks: A Survey, Some Research Issues and Challenges , 2011, IEEE Communications Surveys & Tutorials.

[38]  K. J. Ray Liu,et al.  Energy-efficient cellular network operation via base station cooperation , 2012, 2012 IEEE International Conference on Communications (ICC).

[39]  Luc Martens,et al.  Power consumption model for macrocell and microcell base stations , 2014, Trans. Emerg. Telecommun. Technol..

[40]  Abbas Jamalipour,et al.  Distributed Inter-BS Cooperation Aided Energy Efficient Load Balancing for Cellular Networks , 2013, IEEE Transactions on Wireless Communications.

[41]  A. Liu,et al.  Characterizing and modeling internet traffic dynamics of cellular devices , 2011, PERV.

[42]  Xianfu Chen,et al.  Optimal Base Station Sleeping in Green Cellular Networks: A Distributed Cooperative Framework Based on Game Theory , 2015, IEEE Transactions on Wireless Communications.

[43]  R. Ho,et al.  Progress in Low-Power Switched Optical Interconnects , 2011, IEEE Journal of Selected Topics in Quantum Electronics.

[44]  Weihua Zhuang,et al.  Network cooperation for energy saving in green radio communications , 2011, IEEE Wireless Communications.

[45]  L. Chiaraviglio,et al.  Optimal Energy Savings in Cellular Access Networks , 2009, 2009 IEEE International Conference on Communications Workshops.

[46]  Zhisheng Niu,et al.  Bayesian mechanism based inter-operator base station sharing for energy saving , 2015, 2015 IEEE International Conference on Communications (ICC).

[47]  Cheng-Xiang Wang,et al.  Energy Efficiency Evaluation of Cellular Networks Based on Spatial Distributions of Traffic Load and Power Consumption , 2013, IEEE Transactions on Wireless Communications.

[48]  Adrian S. Poulton,et al.  Energy efficient relay-assisted cellular network model using base station Switching , 2012, 2012 IEEE Globecom Workshops.