Pricing framework for almost blank subframe scheme in two‐tier heterogeneous networks

As a part of enhanced inter‐cell interference coordination (eICIC), almost blank subframe (ABS) is an efficient technique to mitigate the cross‐tier interference of two‐tier heterogeneous networks (HetNets) and enhance overall network performance. However, in small cells with closed subscriber group (CSG) mode, how to motivate small cell base stations (SBSs) to adopt ABS schemes is still one of technical challenges due to the selfish nature of SBSs. In this paper, we propose a pricing framework with ABS scheme that benefit both the macrocell and small cell tier. Within the proposed framework, each SBS with closed access policy performs ABS scheme by muting a portion of the whole frame in time domain, and then dedicating this interference‐free subframe to macrocell users (MUs) for exclusive use. In return, the macrocell base station (MBS) announces the price for these ABSs and offers a certain amount of revenue to each SBS according to the length of its ABS. Furthermore, we extend the small cell performance analysis to the scenario of hybrid access policy, which allow neighboring MUs to access small cells. To investigate the interaction between two tiers, we formulate the proposed framework as a one‐leader multiple‐follower Stackelberg game, which regards the MBS and SBSs as leader and followers, respectively. On the basis of the theoretical analysis, we prove that a unique Stackelberg equilibrium (SE) exists and obtain the optimal strategies for both tiers. Numerical results evaluate the utility performance of both tiers when SE is achieved and verify the validity of the proposed framework.

[1]  Jeongsik Choi,et al.  Dynamic user association and eICIC management in heterogeneous cellular networks , 2016, 2016 IEEE International Conference on Communications (ICC).

[2]  Hong Ji,et al.  Spectrum‐efficiency enhancement in small cell networks with biasing cell association and eICIC: An analytical framework , 2016, Int. J. Commun. Syst..

[3]  Wuyang Zhou,et al.  Joint User Association and eICIC for Max–Min Fairness in HetNets , 2016, IEEE Communications Letters.

[4]  Changqing Xu,et al.  Rate-Based Pricing Framework in Hybrid Access Femtocell Networks , 2015, IEEE Communications Letters.

[5]  Cheng-Xiang Wang,et al.  Distributed Subchannel Allocation for Interference Mitigation in OFDMA Femtocells: A Utility-Based Learning Approach , 2015, IEEE Transactions on Vehicular Technology.

[6]  K. J. Ray Liu,et al.  Pricing Game for Time Mute in Femto–Macro Coexistent Networks , 2015, IEEE Transactions on Wireless Communications.

[7]  Vijay K. Bhargava,et al.  Energy Efficiency Maximization Framework in Cognitive Downlink Two-Tier Networks , 2015, IEEE Transactions on Wireless Communications.

[8]  Luca Sanguinetti,et al.  Energy-Aware Competitive Power Allocation for Heterogeneous Networks Under QoS Constraints , 2014, IEEE Transactions on Wireless Communications.

[9]  Hailun Xia,et al.  Adaptive ABS Configuration Scheme with Joint Power Control for Macro-Pico Heterogeneous Networks , 2014, 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall).

[10]  John S. Baras,et al.  Utility-based almost blank subframe optimization in heterogeneous cellular networks , 2014, 2014 IEEE Global Communications Conference.

[11]  K. J. Ray Liu,et al.  Optimal Pricing Strategy for Operators in Cognitive Femtocell Networks , 2014, IEEE Transactions on Wireless Communications.

[12]  Aylin Yener,et al.  Selective Interference Alignment for MIMO Cognitive Femtocell Networks , 2014, IEEE Journal on Selected Areas in Communications.

[13]  Supratim Deb,et al.  Algorithms for Enhanced Inter-Cell Interference Coordination (eICIC) in LTE HetNets , 2013, IEEE/ACM Transactions on Networking.

[14]  Zhi Ding,et al.  On Number of Almost Blank Subframes in Heterogeneous Cellular Networks , 2013, IEEE Transactions on Wireless Communications.

[15]  Khaled M. F. Elsayed,et al.  Performance evaluation of a coordinated time-domain eICIC framework based on ABSF in heterogeneous LTE-Advanced networks , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[16]  Tao Jiang,et al.  Spectrum leasing to femto service provider with hybrid access , 2012, 2012 Proceedings IEEE INFOCOM.

[17]  Dong-Ho Cho,et al.  The Economic Effects of Sharing Femtocells , 2012, IEEE Journal on Selected Areas in Communications.

[18]  Mehul Motani,et al.  Price-Based Resource Allocation for Spectrum-Sharing Femtocell Networks: A Stackelberg Game Approach , 2012, IEEE Journal on Selected Areas in Communications.

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

[20]  Walid Saad,et al.  Game Theory in Wireless and Communication Networks: Applications of game theory in communications and networking , 2011 .

[21]  Zhu Han,et al.  Coalitional game theory for communication networks , 2009, IEEE Signal Processing Magazine.

[22]  Zhu Han,et al.  Game Theory in Wireless and Communication Networks , 2008 .

[23]  Geoffrey Ye Li,et al.  Max-utility wireless resource management for best-effort traffic , 2005, IEEE Transactions on Wireless Communications.

[24]  Murat Yuksel,et al.  Elasticity considerations for optimal pricing of networks , 2003, Proceedings of the Eighth IEEE Symposium on Computers and Communications. ISCC 2003.