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Feedback Overhead-Aware Clustering for Interference Alignment in Multiuser Interference Networks Byoung-Yoon MIN Heewon KANG Sungyoon CHO Jinyoung JANG Dong Ku KIM Publication IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Vol.E100-A No.2 pp.746-750 Publication Date: 2017/02/01 Online ISSN: 1745-1337 DOI: 10.1587/transfun.E100.A.746 Type of Manuscript: LETTER Category: Communication Theory and Signals Keyword: limited feedback, clustering, interference alignment, Full Text: PDF(196.2KB)>>
Summary: Interference alignment (IA) is a promising technology for eliminating interferences while it still achieves the optimal capacity scaling. However, in practical systems, the IA feasibility limit and the heavy signaling overhead obstructs employing IA to large-scale networks. In order to jointly consider these issues, we propose the feedback overhead-aware IA clustering algorithm which comprises two parts: adaptive feedback resource assignment and dynamic IA clustering. Numerical results show that the proposed algorithm offers significant performance gains in comparison with conventional approaches. | ||||||||||
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