Energy efficient multi-connectivity algorithms for ultra-dense 5G networks

Two radio air interfaces, Evolved-LTE and New Radio, coexist in new 5G systems. New Radio operates in the millimeter band and provides a better bandwidth, but the higher frequencies also imply worse radio conditions. Multi-connectivity, a feature of 5G that allows users to connect to more than one base station simultaneously, can offer the advantages of both interfaces. In this paper, we investigate how multi-connectivity can improve user reliability and the system’s energy efficiency. Five algorithms for secondary cell association are presented and evaluated. We show a decrease in the radio link failure rate of up to 50% at high speeds and improvements of the energy efficiency of up to 20% at low speeds.

[1]  Antonis G. Gotsis,et al.  UltraDense Networks: The New Wireless Frontier for Enabling 5G Access , 2015, IEEE Vehicular Technology Magazine.

[2]  R.W. Heath,et al.  60 GHz wireless communications: emerging requirements and design recommendations , 2007, IEEE Vehicular Technology Magazine.

[3]  Gerhard Fettweis,et al.  Mobility Modeling and Performance Evaluation of Multi-Connectivity in 5G Intra-Frequency Networks , 2015, 2015 IEEE Globecom Workshops (GC Wkshps).

[4]  Valentin Poirot,et al.  Energy efficient multi-connectivity for ultra-dense networks , 2017 .

[5]  T. Saaty How to Make a Decision: The Analytic Hierarchy Process , 1990 .

[6]  Rudolf Mathar,et al.  Dynamic cell association for downlink sum rate maximization in multi-cell heterogeneous networks , 2012, 2012 IEEE International Conference on Communications (ICC).

[7]  Frederick W. Vook,et al.  MIMO and beamforming solutions for 5G technology , 2014, 2014 IEEE MTT-S International Microwave Symposium (IMS2014).

[8]  Francisco Rodrigo Porto Cavalcanti,et al.  Fast-RAT Scheduling in a 5G Multi-RAT Scenario , 2017, IEEE Communications Magazine.

[9]  Lajos Hanzo,et al.  Green radio: radio techniques to enable energy-efficient wireless networks , 2011, IEEE Communications Magazine.

[10]  Rui Fan,et al.  Tight Integration of New 5G Air Interface and LTE to Fulfill 5G Requirements , 2015, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring).

[11]  Wanjiun Liao,et al.  GreenCoMP: Energy-Aware Cooperation for Green Cellular Networks , 2017, IEEE Transactions on Mobile Computing.

[12]  Özgür B. Akan,et al.  Employing 60 GHz ISM band for 5G wireless communications , 2014, 2014 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom).

[13]  Jeffrey G. Andrews,et al.  What Will 5G Be? , 2014, IEEE Journal on Selected Areas in Communications.

[14]  Amr M. Youssef,et al.  Ultra-Dense Networks: A Survey , 2016, IEEE Communications Surveys & Tutorials.

[15]  Claes Tidestav,et al.  Energy Performance of 5G-NX Wireless Access Utilizing Massive Beamforming and an Ultra-Lean System Design , 2014, GLOBECOM 2014.

[16]  Geoffrey Ye Li,et al.  An Overview of Massive MIMO: Benefits and Challenges , 2014, IEEE Journal of Selected Topics in Signal Processing.

[17]  Muhammad Ali Imran,et al.  EARTH — Energy Aware Radio and Network Technologies , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.

[18]  Magnus Thurfjell,et al.  Network Densification Impact on System Capacity , 2015, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring).

[19]  Theodore S. Rappaport,et al.  Millimeter Wave Mobile Communications for 5G Cellular: It Will Work! , 2013, IEEE Access.

[20]  Kyungwhoon Cheun,et al.  Millimeter-wave beamforming as an enabling technology for 5G cellular communications: theoretical feasibility and prototype results , 2014, IEEE Communications Magazine.

[21]  Jonas Medbo,et al.  15 GHz propagation properties assessed with 5G radio access prototype , 2015, 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[22]  Min Chen,et al.  Rethinking energy efficiency models of cellular networks with embodied energy , 2011, IEEE Network.

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

[24]  Karl Andersson,et al.  An international Master's program in green ICT as a contribution to sustainable development , 2016 .

[25]  Hanna Bogucka,et al.  Degrees of freedom for energy savings in practical adaptive wireless systems , 2011, IEEE Communications Magazine.

[26]  Björn Debaillie,et al.  A Flexible and Future-Proof Power Model for Cellular Base Stations , 2015, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring).

[27]  Jeffrey G. Andrews,et al.  User Association for Load Balancing in Heterogeneous Cellular Networks , 2012, IEEE Transactions on Wireless Communications.

[28]  Olga Galinina,et al.  Flexible Dual-Connectivity Spectrum Aggregation for Decoupled Uplink and Downlink Access in 5G Heterogeneous Systems , 2016, IEEE Journal on Selected Areas in Communications.

[29]  Sundeep Rangan,et al.  Multi-connectivity in 5G mmWave cellular networks , 2016, 2016 Mediterranean Ad Hoc Networking Workshop (Med-Hoc-Net).

[30]  Rose Qingyang Hu,et al.  Analytical study on network spectrum efficiency of ultra dense networks , 2013, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[31]  Bin Wang,et al.  A Cluster-Based Hybrid Access Strategy Using Non-cooperative Game Theory for Ultra-dense HetNet , 2015, 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security, and 2015 IEEE 12th International Conference on Embedded Software and Systems.