Throughput aware and green energy aware user association in heterogeneous networks

Greening information and communications technology is becoming an environmental and economic sine qua non, and has attracted much research attention. For a cellular network, base stations (BSs) incur more than 50% of the energy consumption of the whole network. Therefore, BSs can be powered by green energy to reduce its on-grid power consumption. Meanwhile, the throughput has always been a critical issue in cellular networks. Since the throughput and energy consumption mutually affect each other, saving on-grid power is at the cost of sacrificing a certain amount of throughput. In this paper, we propose a Throughput Aware and Green Energy aware user association (TAGE) scheme in heterogeneous cellular networks (HCNs) to optimize the trade-off between the throughput and on-grid power consumption. Meanwhile, we employ an energy-throughput coefficient α to control the energy-throughput tradeoff. The simulation results verify that TAGE improves the effective throughput and saves a significant amount of on-grid power for HCNs.

[1]  Nirwan Ansari,et al.  Green energy aware user association in heterogeneous networks , 2016, 2016 IEEE Wireless Communications and Networking Conference.

[2]  Yongming Huang,et al.  Joint User Association and Resource Partitioning with QoS Support for Heterogeneous Cellular Networks , 2015, Wirel. Pers. Commun..

[3]  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).

[4]  Nirwan Ansari,et al.  ICE: Intelligent Cell BrEathing to Optimize the Utilization of Green Energy , 2012, IEEE Communications Letters.

[5]  Liu Liu,et al.  Energy Source Aware Target Cell Selection and Coverage Optimization for Power Saving in Cellular Networks , 2010, 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing.

[6]  Jeffrey G. Andrews,et al.  Load-Aware Modeling and Analysis of Heterogeneous Cellular Networks , 2012, IEEE Transactions on Wireless Communications.

[7]  Nirwan Ansari,et al.  Powering mobile networks with green energy , 2014, IEEE Wireless Communications.

[8]  H. Vincent Poor,et al.  Joint Load Balancing and Interference Management for Small-Cell Heterogeneous Networks With Limited Backhaul Capacity , 2017, IEEE Transactions on Wireless Communications.

[9]  Catherine Rosenberg,et al.  Joint Resource Allocation and User Association for Heterogeneous Wireless Cellular Networks , 2013, IEEE Transactions on Wireless Communications.

[10]  Wan Choi,et al.  Coverage and Load Balancing in Heterogeneous Cellular Networks with Minimum Cell Separation , 2014, IEEE Transactions on Mobile Computing.

[11]  Jeffrey G. Andrews,et al.  Heterogeneous Cellular Networks with Flexible Cell Association: A Comprehensive Downlink SINR Analysis , 2011, IEEE Transactions on Wireless Communications.

[12]  Nirwan Ansari,et al.  Green-energy Aware and Latency Aware user associations in heterogeneous cellular networks , 2013, 2013 IEEE Globecom Workshops (GC Wkshps).

[13]  Nirwan Ansari,et al.  Green Energy Aware Avatar Migration Strategy in Green Cloudlet Networks , 2015, 2015 IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom).

[14]  Nirwan Ansari,et al.  Heuristic relay assignments for green relay assisted device to device communications , 2013, 2013 IEEE Global Communications Conference (GLOBECOM).

[15]  Jie Xu,et al.  Cost-aware green cellular networks with energy and communication cooperation , 2014, IEEE Communications Magazine.

[16]  Nirwan Ansari,et al.  A Traffic Load Balancing Framework for Software-Defined Radio Access Networks Powered by Hybrid Energy Sources , 2014, IEEE/ACM Transactions on Networking.

[17]  Nirwan Ansari,et al.  On Optimizing Green Energy Utilization for Cellular Networks with Hybrid Energy Supplies , 2013, IEEE Transactions on Wireless Communications.