Energy Efficiency and Superlative TTT for Equitable RLF and Ping Pong in LTE Networks

Data hungry users engage radio resources over long periods of time thus resulting into higher energy consumption by Base Stations (BSs). Mobile operators’ operational expenditure (OPEX) is directly affected by augmented electricity bills due to increased power consumption, thereby ensuing reduced economic and environmental benefits, i.e. profitability of vendors and green communication accordingly. This work provides performance analysis of our proposed reduced early handover (REHO) scheme which results in increased energy efficiency. Impact of reduced energy consumption is shown on OPEX, as well as greener aspects are investigated by inclusion of real life commercial tariffs adopted by one of the mobile operators in the UK. Performance analysis revealed that varying time to trigger (TTT) values significantly impact radio link failure (RLF), ping pong effect as well as call drop ratio (CDR) and Handover ratio (HOR), at changing users’ velocities. Paper investigates and provides a very useful insight for superlative value of TTT for unbiased RLF and Ping Pong, which can help vendors not only to achieve increased energy efficiency, but also maintain other salient performance parameters within acceptable limits. The work also achieves the fact that the time difference in terms of transmission time intervals (TTIs) for reduced early handover in REHO, always remain the same irrespective of the value of TTT, thus ensuring that REHO continuously achieves increased energy efficiency compared to LTE standard.

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

[2]  Symeon Papavassiliou,et al.  Joint Resource Block and Power Allocation for Interference Management in Device to Device Underlay Cellular Networks: A Game Theoretic Approach , 2016, Mobile Networks and Applications.

[3]  Jaechan Lim,et al.  Effects of time-to-trigger parameter on handover performance in SON-based LTE systems , 2010, 2010 16th Asia-Pacific Conference on Communications (APCC).

[4]  Raquel Barco,et al.  On the Potential of Handover Parameter Optimization for Self-Organizing Networks , 2013, IEEE Transactions on Vehicular Technology.

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

[6]  Navrati Saxena,et al.  Traffic-Aware Energy Optimization in Green LTE Cellular Systems , 2014, IEEE Communications Letters.

[7]  Lajos Hanzo,et al.  Connectivity-Related Properties of Mobile Nodes Obeying the Random Walk and Random Waypoint Mobility Models , 2008, VTC Spring 2008 - IEEE Vehicular Technology Conference.

[8]  Thomas Martin Knoll,et al.  A combined CAPEX and OPEX cost model for LTE networks , 2014, 2014 16th International Telecommunications Network Strategy and Planning Symposium (Networks).

[9]  Paolo Santi,et al.  The Node Distribution of the Random Waypoint Mobility Model for Wireless Ad Hoc Networks , 2003, IEEE Trans. Mob. Comput..

[10]  Abhay Karandikar,et al.  Impact of HandOver parameters on mobility performance in LTE HetNets , 2015, 2015 Twenty First National Conference on Communications (NCC).

[11]  P. Demeester,et al.  Modeling operational expenditures for telecom operators , 2005, Conference onOptical Network Design and Modeling, 2005..

[12]  Sofie Verbrugge,et al.  Methodology and input availability parameters for calculating OpEx and CapEx costs for realistic network scenarios , 2006 .

[13]  Benjamin K. Sovacool,et al.  Valuing the Greenhouse Gas Emissions from Nuclear Power: A Critical Survey , 2008 .

[14]  Weisi Guo,et al.  Capacity-Energy-Cost Tradeoff in Small Cell Networks , 2012, 2012 IEEE 75th Vehicular Technology Conference (VTC Spring).

[15]  Tao Jiang,et al.  QoS Guaranteed Resource Allocation Scheme for Cognitive Femtocells in LTE Heterogeneous Networks with Universal Frequency Reuse , 2016, Mob. Networks Appl..

[16]  Marius Otesteanu,et al.  HetNet handover performance analysis based on RSRP vs. RSRQ triggers , 2015, 2015 38th International Conference on Telecommunications and Signal Processing (TSP).

[17]  Jeffrey G. Andrews,et al.  Femtocells: Past, Present, and Future , 2012, IEEE Journal on Selected Areas in Communications.

[18]  Kai Liu,et al.  Base station power model and application for energy efficient LTE , 2013, 2013 15th IEEE International Conference on Communication Technology.

[19]  Timothy A. Thomas,et al.  LTE-advanced: next-generation wireless broadband technology [Invited Paper] , 2010, IEEE Wireless Communications.

[20]  Simon Armour,et al.  Energy efficient radio resource management strategies for green radio , 2011, IET Commun..

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

[22]  Kapil Kanwal,et al.  Euclidean Geometry Axioms Assisted Target Cell Boundary Approximation for Improved Energy Efficacy in LTE Systems , 2019, IEEE Systems Journal.