Energy efficient load balancing for future self-organized shared networks

Energy is an expensive commodity in long term evolution-advanced (LTE-A) networks, spurring a myriad of research approaches in recent years to attempt to minimize energy consumption in LTE-A, usually from the mobile users’ perspective. In this work, the energy consumption of the network is analyzed, according to the operators’ point of view. Network sharing and self-organized network (SON) technologies are attractive solutions for cost reduction, and for the minimization of energy utilization in LTE-A network. In this paper, a novel framework is provided using a self-organized load balancing (SO-LB) algorithm for minimizing energy cost per bit based on the scope of 3GPP standardization. Obtained simulation results show that by employing SO-LB algorithm in a shared network, it is possible to achieve up to 15–20 % savings in energy consumption when compared to LTE-A non-shared networks.

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

[2]  John M. Cioffi,et al.  Handover in multihop cellular networks , 2009, IEEE Communications Magazine.

[3]  Sampath Rangarajan,et al.  Radio access network virtualization for future mobile carrier networks , 2013, IEEE Communications Magazine.

[4]  Sihai Zhang,et al.  A New Load Balancing Strategy in Relay Enhanced Cellular Networks with Multiple Traffic Types , 2012 .

[5]  Xiaodong Wang,et al.  Coordinated load balancing, handoff/cell-site selection, and scheduling in multi-cell packet data systems , 2004, MobiCom '04.

[6]  Mieso K. Denko,et al.  Modelling the energy cost of a fully operational wireless sensor network , 2010, Telecommun. Syst..

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

[8]  Christos Politis,et al.  Green ICT: Self-Organization Aided Network Sharing in LTEA , 2012 .

[9]  Gerhard Fettweis,et al.  Relay-based deployment concepts for wireless and mobile broadband radio , 2004, IEEE Communications Magazine.

[10]  Firooz B. Saghezchi,et al.  Cognitive radio and cooperative strategies for power saving in multi-standard wireless devices , 2010, 2010 Future Network & Mobile Summit.

[11]  Luis Alonso,et al.  "Green" distance-aware base station sleeping algorithm in LTE-Advanced , 2012, 2012 IEEE International Conference on Communications (ICC).

[12]  Weili Wu,et al.  Energy-efficient target coverage in wireless sensor networks , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[13]  Thomas Frisanco,et al.  Infrastructure sharing and shared operations for mobile network operators From a deployment and operations view , 2008, NOMS 2008 - 2008 IEEE Network Operations and Management Symposium.

[14]  Halim Yanikomeroglu,et al.  Range extension without capacity penalty in cellular networks with digital fixed relays , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[15]  Christos Politis,et al.  Energy Efficient and Scalable Routing Protocol for Extreme Emergency Ad Hoc Communications , 2010, Mobile Networks and Applications.

[16]  JooSeok Song,et al.  An energy-efficient interface selection for multi-mode terminals by utilizing out-of-band paging channels , 2009, Telecommun. Syst..

[17]  Halim Yanikomeroglu,et al.  Fairness-Aware Joint Routing and Scheduling in OFDMA-Based Cellular Fixed Relay Networks , 2009, 2009 IEEE International Conference on Communications.

[18]  Rudolf Mathar,et al.  Optimal Base Station Positioning and Channel Assignment for 3G Mobile Networks by Integer Programming , 2001, Ann. Oper. Res..

[19]  Ángela Hernández-Solana,et al.  Coexistence and interworking between UMTS and UWB: a performance evaluation of a UMTS/UWB interoperability platform , 2012, Telecommun. Syst..

[20]  Yang Yang,et al.  Self-configuration and self-optimization for LTE networks , 2010, IEEE Communications Magazine.

[21]  Patrick Hosein On the Optimal Scheduling of Uplink Resources in OFDMA-Based Wireless Networks , 2006 .

[22]  Minoru Okada,et al.  Dual-Hop Non-regenerative OFDM Relay Systems with Chunk-Based Power Allocation , 2012, Wirel. Pers. Commun..

[23]  Hui Tian,et al.  A Novel Relay Based Load Balancing Scheme and Performance Analysis Using Markov Models , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

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

[25]  Thomas Haustein,et al.  Relaying results for indoor coverage in long-term evolution and beyond , 2010, Eur. Trans. Telecommun..

[26]  Yigal Bejerano,et al.  Cell Breathing Techniques for Load Balancing in Wireless LANs , 2009, IEEE Trans. Mob. Comput..

[27]  Harish Viswanathan,et al.  Performance of cellular networks with relays and centralized scheduling , 2005, IEEE Transactions on Wireless Communications.

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

[29]  Cyril Leung,et al.  Cross-layer resource allocation for real-time services in OFDM-based cognitive radio systems , 2009, Telecommun. Syst..

[30]  Hans van den Berg,et al.  Uplink packet scheduling in cellular networks with relaying—comparative study , 2011, Telecommun. Syst..

[31]  Terence D. Todd,et al.  The need for access point power saving in solar powered WLAN mesh networks , 2008, IEEE Network.