Throughput–Power Tradeoff Association for User Equipment in WLAN/Cellular Integrated Networks

To meet the dramatic growth in mobile traffic, wireless local area networks (WLANs) have been integrated with cellular networks. We investigate the user equipment (UE) association problem in WLAN/cellular integrated networks from game-theoretic perspective by taking into account throughput and power consumption. In the case of WLAN offloading, random uplink traffic from UEs inevitably brings contention and collisions into WLANs; thus, the capacity of a WLAN system is decreased. To eliminate this side effect, UEs are encouraged to deliver uplink traffic over contention-free cellular networks. However, UEs will consume much more power when their uplink traffic is delivered over cellular networks instead of WLANs. Observing the above contradiction between throughput and power consumption, we define a utility function to reconcile the contradiction and formulate the UE association problem as a game. An incentive mechanism is involved to encourage UEs with enough energy to redirect their uplink traffic over cellular networks. We prove that this game is an exact potential game with at least one pure-strategy Nash equilibrium. Then, a distributed algorithm is proposed for each UE to determine its uplink association. Finally, extensive numerical simulations validate the feasibility and effectiveness of the proposed association strategy.

[1]  Weihua Zhuang,et al.  Uplink Decentralized Joint Bandwidth and Power Allocation for Energy-Efficient Operation in a Heterogeneous Wireless Medium , 2015, IEEE Transactions on Communications.

[2]  Wei Song,et al.  Performance Analysis of the WLAN-First Scheme in Cellular/WLAN Interworking , 2007, IEEE Transactions on Wireless Communications.

[3]  Dan Keun Sung,et al.  Placement of WiFi access points for efficient WiFi offloading in an overlay network , 2013, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[4]  Yong Huat Chew,et al.  Performance Analysis of Downlink Multi-Cell OFDMA Systems Based on Potential Game , 2012, IEEE Transactions on Wireless Communications.

[5]  Gabriel-Miro Muntean,et al.  Enhanced Power-Friendly Access Network Selection Strategy for Multimedia Delivery Over Heterogeneous Wireless Networks , 2014, IEEE Transactions on Broadcasting.

[6]  Weihua Zhuang,et al.  Cooperative Decentralized Resource Allocation in Heterogeneous Wireless Access Medium , 2013, IEEE Transactions on Wireless Communications.

[7]  Hancheng Lu,et al.  Uplink traffic cellular-first access scheme in cellular/WLAN integrated networks , 2015, 2015 IEEE Wireless Communications and Networking Conference (WCNC).

[8]  Walid Saad,et al.  A college admissions game for uplink user association in wireless small cell networks , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

[9]  R. M. Loynes,et al.  The stability of a queue with non-independent inter-arrival and service times , 1962, Mathematical Proceedings of the Cambridge Philosophical Society.

[10]  Byeong Gi Lee,et al.  Broadband Wireless Access & Local Networks: Mobile Wimax and Wifi , 2008 .

[11]  Yongming Huang,et al.  Game Theoretic Max-logit Learning Approaches for Joint Base Station Selection and Resource Allocation in Heterogeneous Networks , 2015, IEEE Journal on Selected Areas in Communications.

[12]  Erich M. Nahum,et al.  Design, implementation, and evaluation of energy-aware multi-path TCP , 2015, CoNEXT.

[13]  Cheng-Xiang Wang,et al.  Spatial Spectrum and Energy Efficiency of Random Cellular Networks , 2015, IEEE Transactions on Communications.

[14]  Olga Galinina,et al.  Intelligent access network selection in converged multi-radio heterogeneous networks , 2014, IEEE Wireless Communications.

[15]  Zhu Han,et al.  Game Theory in Wireless and Communication Networks: Theory, Models, and Applications , 2011 .

[16]  Ganguk Hwang,et al.  Power-Efficient Load Distribution for Multihomed Services With Sleep Mode Over Heterogeneous Wireless Access Networks , 2014, IEEE Transactions on Vehicular Technology.

[17]  Cheng-Xiang Wang,et al.  Spectral and Energy Efficiency Analysis for Cognitive Radio Networks , 2015, IEEE Transactions on Wireless Communications.

[18]  Adam Wolisz,et al.  Performance evaluation of selection schemes for offloading traffic to IEEE 802.11 hotspots , 2012, 2012 IEEE International Conference on Communications (ICC).

[19]  T. Taleb,et al.  Traffic Offload Enhancements for eUTRAN , 2012, IEEE Communications Surveys & Tutorials.

[20]  Liuqing Yang,et al.  Dynamic TDD Support in Macrocell-Assisted Small Cell Architecture , 2015, IEEE Journal on Selected Areas in Communications.

[21]  Weihua Zhuang,et al.  A Distributed Multi-Service Resource Allocation Algorithm in Heterogeneous Wireless Access Medium , 2012, IEEE Journal on Selected Areas in Communications.

[22]  Byeong Gi Lee,et al.  Energy-Per-Bit Minimized Radio Resource Allocation in Heterogeneous Networks , 2014, IEEE Transactions on Wireless Communications.

[23]  Matteo Cesana,et al.  Network Selection and Resource Allocation Games for Wireless Access Networks , 2013, IEEE Transactions on Mobile Computing.

[24]  Dan Keun Sung,et al.  A Network-Assisted User-Centric WiFi-Offloading Model for Maximizing Per-User Throughput in a Heterogeneous Network , 2014, IEEE Transactions on Vehicular Technology.

[25]  Cheng-Xiang Wang,et al.  Spectrum and Energy Efficiency Evaluation of Two-Tier Femtocell Networks With Partially Open Channels , 2014, IEEE Transactions on Vehicular Technology.

[26]  Bin Wang,et al.  Utility-based resource allocation for mixed traffic in wireless networks , 2011, 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[27]  Xuemin Shen,et al.  Voice capacity analysis of WLAN with unbalanced traffic , 2006, IEEE Trans. Veh. Technol..

[28]  Hao Wang,et al.  A General Performance Evaluation Framework for Network Selection Strategies in 3G-WLAN Interworking Networks , 2013, IEEE Transactions on Mobile Computing.

[29]  F. Richard Yu,et al.  Spectrum sharing and resource allocation for energy-efficient heterogeneous cognitive radio networks with femtocells , 2012, 2012 IEEE International Conference on Communications (ICC).

[30]  Chung-Ju Chang,et al.  A bargaining game based access network selection scheme for HetNet , 2014, 2014 IEEE International Conference on Communications (ICC).

[31]  Dong In Kim,et al.  Game Theoretic Approaches for Multiple Access in Wireless Networks: A Survey , 2011, IEEE Communications Surveys & Tutorials.

[32]  Antonio Iera,et al.  Energy-Saving Analysis in Cellular–WLAN Cooperative Scenarios , 2014, IEEE Transactions on Vehicular Technology.

[33]  Andreas Kunz,et al.  Enhanced 3GPP system for interworking with fixed broadband access network , 2013, IEEE Communications Magazine.

[34]  Stefan Parkvall,et al.  Evolution of LTE toward IMT-advanced , 2011, IEEE Communications Magazine.

[35]  Jun Zheng,et al.  Performance modeling of IEEE 802.11 DCF based fair channel access for vehicular-to-roadside communication in a non-saturated state , 2014, 2014 IEEE International Conference on Communications (ICC).

[36]  Vijay K. Bhargava,et al.  Joint Downlink and Uplink Aware Cell Association in HetNets With QoS Provisioning , 2015, IEEE Transactions on Wireless Communications.

[37]  Jonathan Ling,et al.  Enhanced capacity and coverage by Wi-Fi LTE integration , 2015, IEEE Communications Magazine.