An Adaptive K-nearest-neighbor Interference Alignment Algorithm Based on Minimizing Projection in Cellular System
- DOI
- 10.2991/nceece-15.2016.91How to use a DOI?
- Keywords
- cellular networks; adaptive K-nearest-neighbor; interference alignment; precoding vector; threshold of signal-to-interference ratio
- Abstract
For the disadvantages that the high computational complexity and the heavy overheads of the system when interference alignment is applied to the cellular system for co-channel interference cancellation, this paper proposed an adaptive K-nearest-neighbor interference alignment algorithm based on minimizing projection. This algorithm adaptively prechooses interference according to the threshold of signal-to-interference ratio(SIR) and uses the optimal method to minimize the projection of the interference casting to signal subspace, which can obtain the precoding vector only at the transmitter and align the prechosen interference to the interference subspace, thus the computational complexity of interference alignment could be greatly decreased. Simulation results show that, at the threshold of SIR of 15dB, the proposed algorithm can get a performance as well as the existing methods when the number of antennas can meet the demands, and the performance can be much better than the existing ones when the number of antennas couldn’t meet the demands.
- Copyright
- © 2016, 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 - Longzhen Dai AU - Ran Duan AU - Weijia Cui AU - Daming Wang PY - 2015/12 DA - 2015/12 TI - An Adaptive K-nearest-neighbor Interference Alignment Algorithm Based on Minimizing Projection in Cellular System BT - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering PB - Atlantis Press SP - 463 EP - 471 SN - 2352-5401 UR - https://doi.org/10.2991/nceece-15.2016.91 DO - 10.2991/nceece-15.2016.91 ID - Dai2015/12 ER -