Hybrid access for femtocells based on contract theory

Femtocell is a promising technology for wireless communication in the near future, due to its benefits in improving indoor coverage and enhancing system throughput. Access control is a critical issue for both operator and mobile users, and there lie three choices including open, closed and hybrid access. Hybrid access seems to be a promising choice since the femtocell opens part of the resources for macrocell users while reserving the residual part for its own femtocell users. In this way, the femtocell helps improve the network performance without much sacrifice of its own utility. Meanwhile, the macrocell should offer adequate incentive to motivate the femtocells, otherwise the femtocells are unwilling to open their resources. As another challenging obstacle, the macrocell could hardly ask femtocells to truthfully reveal their private information which is important for hybrid access, thus the situation with asymmetric information happens. Contract theory is hereby introduced to deal with such a problem. In this article, we propose a mechanism for hybrid access control, wherein the macrocell remunerates certain amount of spectrum to femtocells according to their contribution of data rate to macrocell users. This design ultimately improves the service quality for macrocell users. After figuring out the sufficient and necessary conditions for feasible contract using contract theory, we further derive the optimal contract. We also discuss several issues due to the distinctive characteristics of our problem.

[1]  A. Ruszczynski,et al.  Nonlinear Optimization , 2006 .

[2]  Albert Y. Ha Supplier‐buyer contracting: Asymmetric cost information and cutoff level policy for buyer participation , 2001 .

[3]  J. Laffont,et al.  The Theory of Incentives: The Principal-Agent Model , 2001 .

[4]  J Cosmas,et al.  Cognitive Femtocell , 2011, IEEE Vehicular Technology Magazine.

[5]  Zhu Han,et al.  Cell selection in two-tier femtocell networks with open/closed access using evolutionary game , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[6]  Lin Gao,et al.  Contract-based cooperative spectrum sharing , 2011, 2011 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).

[7]  Douglas N. Knisely,et al.  Standardization of femtocells in 3GPP , 2009, IEEE Communications Magazine.

[8]  Jeffrey G. Andrews,et al.  Femtocell networks: a survey , 2008, IEEE Communications Magazine.

[9]  Vijay K. Bhargava,et al.  Relay Selection for OFDM Wireless Systems under Asymmetric Information: A Contract-Theory Based Approach , 2012, IEEE Transactions on Wireless Communications.

[10]  S. Nahmias,et al.  Modeling Supply Chain Contracts: A Review , 1999 .

[11]  Giuseppe Caire,et al.  Cognitive femtocells: Breaking the spatial reuse barrier of cellular systems , 2011, 2011 Information Theory and Applications Workshop.

[12]  Matti Latva-aho,et al.  On the impact of heterogeneous backhauls on coordinated multipoint transmission in femtocell networks , 2012, 2012 IEEE International Conference on Communications (ICC).

[13]  Preben E. Mogensen,et al.  Autonomous component carrier selection: interference management in local area environments for LTE-advanced , 2009, IEEE Communications Magazine.

[14]  Jianwei Huang,et al.  Investment and Pricing with Spectrum Uncertainty: A Cognitive Operator's Perspective , 2009, IEEE Transactions on Mobile Computing.

[15]  Jie Zhang,et al.  OFDMA femtocells: A roadmap on interference avoidance , 2009, IEEE Communications Magazine.

[16]  Xuemin Shen,et al.  QoS Provisioning for Heterogeneous Services in Cooperative Cognitive Radio Networks , 2011, IEEE Journal on Selected Areas in Communications.

[17]  Jie Zhang,et al.  Access control mechanisms for femtocells , 2010, IEEE Communications Magazine.

[18]  Jie Zhang,et al.  Access methods to WiMAX femtocells: A downlink system-level case study , 2008, 2008 11th IEEE Singapore International Conference on Communication Systems.

[19]  F. Richard Yu,et al.  Energy-efficient spectrum sharing and power allocation in cognitive radio femtocell networks , 2012, 2012 Proceedings IEEE INFOCOM.

[20]  Xinbing Wang,et al.  Spectrum Trading in Cognitive Radio Networks: A Contract-Theoretic Modeling Approach , 2011, IEEE Journal on Selected Areas in Communications.

[21]  Aria Nosratinia,et al.  Grouping and partner selection in cooperative wireless networks , 2007, IEEE Journal on Selected Areas in Communications.

[22]  George D. Stamoulis,et al.  Efficient agent-based negotiation for telecommunications services , 1999, Seamless Interconnection for Universal Services. Global Telecommunications Conference. GLOBECOM'99. (Cat. No.99CH37042).

[23]  Holger Claussen,et al.  Improving Energy Efficiency of Femtocell Base Stations Via User Activity Detection , 2010, 2010 IEEE Wireless Communication and Networking Conference.

[24]  Bernard Salanié,et al.  The Economics of Contracts: A Primer , 1997 .

[25]  Shuqin Li,et al.  Dynamic Profit Maximization of Cognitive Mobile Virtual Network Operator , 2012, IEEE Transactions on Mobile Computing.

[26]  Xiaodong Wang,et al.  An Auction Approach to Resource Allocation in Uplink OFDMA Systems , 2009, IEEE Transactions on Signal Processing.

[27]  David von Seggern,et al.  CRC Standard Curves and Surfaces with Mathematica , 2016 .

[28]  Douglas N. Knisely,et al.  Standardization of femtocells in 3GPP2 , 2009, IEEE Communications Magazine.

[29]  Mehul Motani,et al.  Price-Based Resource Allocation for Spectrum-Sharing Femtocell Networks: A Stackelberg Game Approach , 2012, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

[30]  Jeffrey G. Andrews,et al.  Uplink capacity and interference avoidance for two-tier femtocell networks , 2007, IEEE Transactions on Wireless Communications.

[31]  Ness B. Shroff,et al.  Utility-based power control in cellular wireless systems , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[32]  Holger Claussen,et al.  An overview of the femtocell concept , 2008, Bell Labs Technical Journal.

[33]  Sajal K. Das,et al.  ARC: an integrated admission and rate control framework for competitive wireless CDMA data networks using noncooperative games , 2005, IEEE Transactions on Mobile Computing.

[34]  Kang G. Shin,et al.  CTRL: a self-organizing femtocell management architecture for co-channel deployment , 2010, MobiCom.

[35]  Xinbing Wang,et al.  MAP: Multiauctioneer Progressive Auction for Dynamic Spectrum Access , 2011, IEEE Transactions on Mobile Computing.

[36]  Jie Zhang,et al.  Limited access to OFDMA femtocells , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.

[37]  Xuemin Shen,et al.  HC-MAC: A Hardware-Constrained Cognitive MAC for Efficient Spectrum Management , 2008, IEEE Journal on Selected Areas in Communications.

[38]  Yanjiao Chen,et al.  Utility-Aware Refunding Framework for Hybrid Access Femtocell Network , 2012, IEEE Transactions on Wireless Communications.

[39]  Jeffrey G. Andrews,et al.  Open vs. Closed Access Femtocells in the Uplink , 2010, IEEE Transactions on Wireless Communications.

[40]  Rahul Jain,et al.  A contracts-based approach for spectrum sharing among cognitive radios , 2010, 8th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks.