Dynamic Spectrum Allocation for the Downlink of OFDMA-Based Hybrid-Access Cognitive Femtocell Networks

The cognitive femtocell has emerged as an exciting technology to solve the indoor coverage problem in future cellular networks. Recently, several technical issues for the cognitive femtocell have been studied, e.g., spectrum sharing and interference mitigation. However, the incentive method that is very important for practical hybrid access cognitive femtocell deployment has not been well investigated. In this paper, we propose a new dynamic spectrum allocation method for the hybrid access cognitive femtocell. In the proposed method, the macro base station (BS) allocates a portion of subchannels to the femto access point (FAP) to spur the FAP to serve the macro users (MUs). Then, the FAP allocates the subchannels and power to maximize the femtocell network utility, whereas the throughput of the served MUs is guaranteed. Moreover, we formulate the corresponding resource allocation problem as a sum-utility maximization problem and propose an optimization method to solve it via the dual decomposition method. Simulation results show that both the wireless service provider and the femtocell could benefit from the proposed method.

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

[2]  Dong In Kim,et al.  Downlink Subchannel and Power Allocation in Multi-Cell OFDMA Cognitive Radio Networks , 2011, IEEE Transactions on Wireless Communications.

[3]  Pin-Han Ho,et al.  Interference Analysis and Mitigation for Cognitive-Empowered Femtocells Through Stochastic Dual Control , 2012, IEEE Transactions on Wireless Communications.

[4]  Tao Jiang,et al.  Efficient Spectrum Utilization on TV Band for Cognitive Radio Based High Speed Vehicle Network , 2014, IEEE Transactions on Wireless Communications.

[5]  Yanjiao Chen,et al.  Incentive mechanism for hybrid access in femtocell network with traffic uncertainty , 2013, 2013 IEEE International Conference on Communications (ICC).

[6]  Kwang-Cheng Chen,et al.  Cognitive and Game-Theoretical Radio Resource Management for Autonomous Femtocells with QoS Guarantees , 2011, IEEE Transactions on Wireless Communications.

[7]  Vikram Krishnamurthy,et al.  Cognitive Base Stations in LTE/3GPP Femtocells: A Correlated Equilibrium Game-Theoretic Approach , 2011, IEEE Transactions on Communications.

[8]  Stephen P. Boyd,et al.  Subgradient Methods , 2007 .

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

[10]  Meixia Tao,et al.  Resource Allocation in Open Access OFDMA Femtocell Networks , 2012, IEEE Wireless Communications Letters.

[11]  Donglin Hu,et al.  On Medium Grain Scalable Video Streaming over Femtocell Cognitive Radio Networks , 2012, IEEE Journal on Selected Areas in Communications.

[12]  Kamran Arshad,et al.  Interference Management in Femtocells , 2013, IEEE Communications Surveys & Tutorials.

[13]  Geoffrey Ye Li,et al.  Cognitive radio networking and communications: an overview , 2011, IEEE Transactions on Vehicular Technology.

[14]  John Cosmas,et al.  Future Wireless Networks for Indoor Applications , 2011 .

[15]  Kwang-Cheng Chen,et al.  Design and Analysis of Downlink Spectrum Sharing in Two-Tier Cognitive Femto Networks , 2012, IEEE Transactions on Vehicular Technology.

[16]  Xiaoying Gan,et al.  Incentive mechanism for access permission and spectrum trading in femtocell network , 2013, 2013 IEEE International Conference on Communications (ICC).

[17]  Long Bao Le,et al.  Hybrid Access Design for Femtocell Networks with Dynamic User Association and Power Control , 2012, 2012 IEEE Vehicular Technology Conference (VTC Fall).

[18]  Jeffrey G. Andrews,et al.  Femtocells: Past, Present, and Future , 2012, IEEE Journal on Selected Areas in Communications.

[19]  Tao Jiang,et al.  Grade of service of opportunistic spectrum access based cognitive cellular networks , 2013, IEEE Wireless Communications.

[20]  Alireza Attar,et al.  Collaborative Sub-Channel Allocation in Cognitive LTE Femto-Cells: A Cooperative Game-Theoretic Approach , 2013, IEEE Transactions on Communications.

[21]  Yanjiao Chen,et al.  Macro-femto heterogeneous network deployment and management: from business models to technical solutions , 2011, IEEE Wireless Communications.

[22]  Alireza Attar,et al.  Interference management using cognitive base-stations for UMTS LTE , 2011, IEEE Communications Magazine.

[23]  Suzan Bayhan,et al.  Cognitive femtocell networks: an overlay architecture for localized dynamic spectrum access [Dynamic Spectrum Management] , 2010, IEEE Wireless Communications.

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

[25]  Mingyan Liu,et al.  Mining Spectrum Usage Data: A Large-Scale Spectrum Measurement Study , 2009, IEEE Transactions on Mobile Computing.

[26]  Tao Jiang,et al.  CRAC: Cognitive Radio Assisted Cooperation for Downlink Transmissions in OFDMA-Based Cellular Networks , 2012, IEEE Journal on Selected Areas in Communications.

[27]  Mingyan Liu,et al.  Mining Spectrum Usage Data: A Large-Scale Spectrum Measurement Study , 2012, IEEE Trans. Mob. Comput..

[28]  Wei Yu,et al.  Joint Optimization of Relay Strategies and Resource Allocations in Cooperative Cellular Networks , 2006 .

[29]  Qian Zhang,et al.  Enabling the Femtocells: A Cooperation Framework for Mobile and Fixed-Line Operators , 2013, IEEE Transactions on Wireless Communications.

[30]  Raj Jain,et al.  The art of computer systems performance analysis - techniques for experimental design, measurement, simulation, and modeling , 1991, Wiley professional computing.