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Conference Paper
Channel Estimation Error Effects on Interference Alignment
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- Authors
- Jinhyung Oh, Heon-Jin Hong
- Issue Date
- 2016-01
- Citation
- International Conference on Advanced Communication Technology (ICACT) 2016, pp.144-147
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- For overcoming the scarcity of frequency resources, spectrum efficiency should be always enhanced by adopting the novel transmission methods. Nowadays, there are a few brilliant transmission technique in academic investigation area such as interference alignment, multi-cell beamforming and cooperative communication. Interference alignment has received the spotlight to enormously enhance the spectral efficiency among above cited transmission schemes. Because the interferences occurred from multiple interfering nodes are aligned into predefined portion of radio resource domain such as space, time and frequency we think spectral efficiency can be increased even though multiple interferences are also happened. To implement the interference alignment into current mobile communication systems, however, channel state information should be well-transferred from receiving nodes to transmitting node to obtain the transmit precoder. And the channel state information is transport to not only desired link from its transmitter and receiver but also adjacent link from neighbor cell's transmitter to desired link's receiver. If the precoder and decoder is created with errored channel state information, the capacity of an IA network is decreased. In this paper, we have analyzed the channel estimation error effects on interference alignment. And we compare and simulate the channel estimation effects on interference alignment with different interference alignment algorithms.
- KSP Keywords
- Alignment algorithm, Channel State Information(CSI), Channel estimation(CE), Cooperative Communication, Interference Alignment, Mobile communication systems, Multi-cell, Radio Resource, Resource domain, Spectral efficiency(SE), Spectrum efficiency