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

DOI

10.2991/icitmi-15.2015.154How to use a DOI?

Keywords

Small cells; Spectrum allocation; Clustering; Q-learning

Abstract

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-distributed 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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Junfei Qiu
AU  - Zhiyong Du
AU  - Youming Sun
AU  - Ducheng Wu
PY  - 2015/10
DA  - 2015/10
TI  - Spectrum Allocation for Hyper-Dense Small Cell Networks: A Partially-Distributed Approach
BT  - Proceedings of the 4th International Conference on Information Technology and Management Innovation
PB  - Atlantis Press
SP  - 913
EP  - 919
SN  - 2352-538X
UR  - https://doi.org/10.2991/icitmi-15.2015.154
DO  - 10.2991/icitmi-15.2015.154
ID  - Qiu2015/10
ER  -