Research Article
Polarization-Space Based Interference Alignment for Cognitive Heterogeneous Cellular Network
@INPROCEEDINGS{10.1007/978-3-030-05490-8_10, author={Xiaofang Gao and Caili Guo and Shuo Chen}, title={Polarization-Space Based Interference Alignment for Cognitive Heterogeneous Cellular Network}, proceedings={Cognitive Radio Oriented Wireless Networks. 13th EAI International Conference, CROWNCOM 2018, Ghent, Belgium, September 18--20, 2018, Proceedings}, proceedings_a={CROWNCOM}, year={2019}, month={1}, keywords={Polarization Interference alignment Orthogonal projection Cognitive heterogeneous cellular network}, doi={10.1007/978-3-030-05490-8_10} }- Xiaofang Gao
Caili Guo
Shuo Chen
Year: 2019
Polarization-Space Based Interference Alignment for Cognitive Heterogeneous Cellular Network
CROWNCOM
Springer
DOI: 10.1007/978-3-030-05490-8_10
Abstract
In underlay cognitive heterogeneous cellular network (CHCN), small cells can transmit their signals as long as the interference to macro cell is below a threshold. Consider a two-layer CHCN with polarized MIMO small cells, a novel polarization-space based interference alignment scheme is proposed. The cross-tier interference between macro cell and small cells is addressed by two given algorithms with different purposes. Orthogonal projection based polarization-space interference alignment (OP-PSIA) for ensuring the minimum effect to macro cell and interference constrained polarization-space interference alignment (IC-PSIA) for maximizing the performances of small cells if permitted. The co-tier interference between small cells are reduced by a minimum total mean squared error (MMSE) algorithm. Then we give specific solutions for two algorithms both including orthogonal projection processing and analytically iterative calculations. Simulation results show the improvement of two algorithms in BER performance of small cells while ensuring the protection of macro cell and keeping maximum overall sum rate.