Inference-driven dynamic access scheme for interference management in heterogeneous networks

We propose a scheme for interference management in wireless heterogeneous networks. We, specifically, consider the problem of downlink interference of a Home eNB (HeNB) to nearby macrocell user equipments (MUEs) served by a macrocell base station. We propose a distributed, self-learning channel access mechanism that enables the HeNB to adaptively change its access to channels shared with neighboring MUEs. Basically, the HeNB accesses the channel with a probability that is updated based on the overheard uplink feedback information from neighboring MUEs. We formulate an optimization problem with the goal of maximizing the achieved rate for the HeNB under the constraint of maintaining a quality of service (QoS) requirement for neighboring MUEs.

[1]  Jie Zhang,et al.  Femtocells: Technologies and Deployment , 2010 .

[2]  Dina Katabi,et al.  Learning to share: narrowband-friendly wideband networks , 2008, SIGCOMM '08.

[3]  Andreas Czylwik,et al.  Distributed power control and scheduling for decentralized OFDMA networks , 2010, 2010 International ITG Workshop on Smart Antennas (WSA).

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

[5]  G.L. Stuber,et al.  Architecture design, frequency planning, and performance analysis for a microcell/macrocell overlaying system , 1996, Proceedings of ICC/SUPERCOMM '96 - International Conference on Communications.

[6]  Ismail Güvenç,et al.  Handling CCI and ICI in OFDMA femtocell networks through frequency scheduling , 2009, IEEE Transactions on Consumer Electronics.

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

[8]  Yan Zhang,et al.  Dynamic Spectrum Access in Cognitive Radio Wireless Networks , 2008, 2008 IEEE International Conference on Communications.

[9]  Ian F. Akyildiz,et al.  NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey , 2006, Comput. Networks.

[10]  K. L. Yeung,et al.  Optimal mobile-determined micro-macro cell selection , 1995, Proceedings of 6th International Symposium on Personal, Indoor and Mobile Radio Communications.

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

[12]  Ananthram Swami,et al.  Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework , 2007, IEEE Journal on Selected Areas in Communications.

[13]  Zhi Ding,et al.  Shadow chasing : A resource allocation scheme for heterogeneous networks , 2012, 2012 7th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM).

[14]  Zhi Ding,et al.  Shadow chasing enhancement in resource allocation for heterogeneous networks , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[15]  Zdenek Becvar,et al.  Dynamic Power Control Mechanism for Femtocells Based on the Frame Utilization , 2010, 2010 6th International Conference on Wireless and Mobile Communications.

[16]  Holger Claussen,et al.  Self-optimization of femtocell coverage to minimize the increase in core network mobility signalling , 2009, Bell Labs Technical Journal.

[17]  Holger Claussen,et al.  Self-optimization of coverage for femtocell deployments , 2008, 2008 Wireless Telecommunications Symposium.

[18]  Leonard J. Cimini,et al.  MIMO mode adaptation in femtocellular systems , 2011, 2011 IEEE Wireless Communications and Networking Conference.

[19]  Zhong Zheng,et al.  On Uplink Power Control Optimization and Distributed Resource Allocation in Femtocell Networks , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).