Spectrum Allocation for Hyper-Dense Small Cell Networks: A Partially-Distributed Approach
- https://doi.org/10.2991/icitmi-15.2015.154How to use a DOI?
- Small cells; Spectrum allocation; Clustering; Q-learning
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/icitmi-15.2015.154 ID - Qiu2015/10 ER -