Spectrum Allocation for Hyper-Dense Small Cell Networks: A Partially-Distributed Approach

In this paper, we investigate the problem of spectrum allocation for small cell networks with dense deployment of access points in large quantities. Since the formulated problem is intractable in the context of large-scale networks, finding the optimal solution is very complex. To tackle this issue, here, we develop a partially-dist ributed approach to achieve desirable performance. Specifically, the proposed scheme mainly consists of three phases: dividing network into disjoint clusters, sub-channel assignment within each cluster and interference elimination among clusters. Finally, numerical results show that the partially-distributed solution outperforms some existing approaches. Meanwhile, the proposed scheme can achieve desirable performance, which is close to that of the global optimization method, with a faster convergence speed.

[1]  Kumbesan Sandrasegaran,et al.  A coloring-based resource allocation for OFDMA femtocell networks , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[2]  Dong-Ho Cho,et al.  A Joint Power and Subchannel Allocation Scheme Maximizing System Capacity in Indoor Dense Mobile Communication Systems , 2010, IEEE Transactions on Vehicular Technology.

[3]  Se-Jin Kim,et al.  Graph-Based Dynamic Channel Assignment Scheme for Femtocell Networks , 2013, IEEE Communications Letters.

[4]  Chuang Lin,et al.  Graph-based interference coordination scheme in orthogonal frequency-division multiplexing access femtocell networks , 2011, IET Commun..

[5]  Dong In Kim,et al.  Clustering and Resource Allocation for Dense Femtocells in a Two-Tier Cellular OFDMA Network , 2014, IEEE Transactions on Wireless Communications.

[6]  Guy Pujolle,et al.  FCRA: Femtocell Cluster-Based Resource Allocation Scheme for OFDMA Networks , 2011, 2011 IEEE International Conference on Communications (ICC).

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

[8]  Hung-Yun Hsieh,et al.  Optimizing Small Cell Deployment in Arbitrary Wireless Networks with Minimum Service Rate Constraints , 2014, IEEE Transactions on Mobile Computing.

[9]  Matti Latva-aho,et al.  Interference Alignment for Cooperative Femtocell Networks: A Game-Theoretic Approach , 2013, IEEE Transactions on Mobile Computing.

[10]  Hui Tian,et al.  Clustering based interference management for QoS guarantees in OFDMA femtocell , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[11]  Jing Xu,et al.  Cooperative distributed optimization for the hyper-dense small cell deployment , 2014, IEEE Communications Magazine.

[12]  Mehdi Bennis,et al.  A Q-learning based approach to interference avoidance in self-organized femtocell networks , 2010, 2010 IEEE Globecom Workshops.