Cognitive and Game-Theoretical Radio Resource Management for Autonomous Femtocells with QoS Guarantees

To successfully deploy femtocells overlaying the Macrocell as a two-tier that had been shown greatly benefiting communications quality in various manners, it requires to mitigate cross-tier interference between the Macrocell and femtocells, and intra-tier interference among femtocells, as well as to provide Quality-of-Service (QoS) guarantees. Existing solutions therefore assign orthogonal radio resources in frequency and spatial domains to each network, however, infeasible for dense femtocells deployments. It is also difficult to apply centralized resource managements facing challenges of scalability to the two-tier. Considering the infeasibility of imposing any modification on existing infrastructures, we leverage the cognitive radio technology to propose the cognitive radio resource management scheme for femtocells to mitigate cross-tier interference. Under such cognitive framework, a strategic game is further developed for the intra-tier interference mitigation. Through the concept of effective capacity, proposed radio resource management schemes are appropriately controlled to achieve required statistical delay guarantees while yielding an efficient radio resources utilization in femtocells. Performance evaluation results show that a considerable performance improvement can be generally achieved by our solution, as compared with that of state-of-the-art techniques, to facilitate the deployment of femtocells.

[1]  Sampath Rangarajan,et al.  Efficient resource management in OFDMA Femto cells , 2009, MobiHoc '09.

[2]  Cheng-Shang Chang,et al.  Stability, queue length, and delay of deterministic and stochastic queueing networks , 1994, IEEE Trans. Autom. Control..

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

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

[5]  Jia Tang,et al.  Cross-layer modeling for quality of service guarantees over wireless links , 2007, IEEE Transactions on Wireless Communications.

[6]  Ronny Yongho Kim,et al.  WiMAX femtocell: requirements, challenges, and solutions , 2009, IEEE Communications Magazine.

[7]  Jeffrey G. Andrews,et al.  Spectrum allocation in tiered cellular networks , 2009, IEEE Transactions on Communications.

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

[9]  Daniel M. Reeves,et al.  Notes on Equilibria in Symmetric Games , 2004 .

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

[11]  Shaowei Wang Cognitive radio networks , 2009, IEEE Vehicular Technology Magazine.

[12]  Jong-Gwan Yook,et al.  A self-organized uplink power control for cross-tier interference management in femtocell networks , 2008, MILCOM 2008 - 2008 IEEE Military Communications Conference.

[13]  Assen Golaup,et al.  Femtocell access control strategy in UMTS and LTE , 2009, IEEE Communications Magazine.

[14]  Dapeng Wu,et al.  Effective capacity: a wireless link model for support of quality of service , 2003, IEEE Trans. Wirel. Commun..

[15]  Kwang-Cheng Chen,et al.  Cognitive Radio Resource Management for QoS Guarantees in Autonomous Femtocell Networks , 2010, 2010 IEEE International Conference on Communications.

[16]  Kwang-Cheng Chen,et al.  Carrier Sensing Based Multiple Access Protocols for Cognitive Radio Networks , 2008, 2008 IEEE International Conference on Communications.

[17]  Lijun Qian,et al.  Downlink power control in co-channel macrocell femtocell overlay , 2009, 2009 43rd Annual Conference on Information Sciences and Systems.

[18]  Jeffrey G. Andrews,et al.  Power control in two-tier femtocell networks , 2008, IEEE Transactions on Wireless Communications.

[19]  Andrea J. Goldsmith,et al.  Variable-rate variable-power MQAM for fading channels , 1997, IEEE Trans. Commun..

[20]  Cheng-Shang Chang,et al.  Performance guarantees in communication networks , 2000, Eur. Trans. Telecommun..

[21]  Jia Tang,et al.  Cross-Layer-Model Based Adaptive Resource Allocation for Statistical QoS Guarantees in Mobile Wireless Networks , 2008, IEEE Trans. Wirel. Commun..

[22]  Costas Courcoubetis,et al.  EFFECTIVE BANDWIDTHS FOR STATIONARY SOURCES , 1995 .

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

[24]  Kwang-Cheng Chen,et al.  Novel Rate-Distance Adaptation of Multiple Access Protocols in Cognitive Radio , 2007, 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications.

[25]  V. Tarokh,et al.  Cognitive radio networks , 2008, IEEE Signal Processing Magazine.

[26]  Ismail Güvenç,et al.  A hybrid frequency assignment for femtocells and coverage area analysis for co-channel operation , 2008, IEEE Communications Letters.

[27]  Naveen Arulselvan,et al.  Distributed Power Control Mechanisms for HSDPA Femtocells , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

[28]  Jong-Gwan Yook,et al.  Interference mitigation using uplink power control for two-tier femtocell networks , 2009, IEEE Transactions on Wireless Communications.

[29]  Kwang-Cheng Chen,et al.  Providing statistical quality-of-service guarantees in cognitive radio networks with cooperation , 2009, 2009 Second International Workshop on Cognitive Radio and Advanced Spectrum Management.

[30]  Dapeng Wu,et al.  Utilizing multiuser diversity for efficient support of quality of service over a fading channel , 2005, IEEE Transactions on Vehicular Technology.