Abstract
Assuming perfect channel state information, the existing interference alignment (IA) algorithm proposed in suppresses inter-cell interference (ICI) by aligning ICI to a randomly selected reference vector. However, IA in practice relies on limited feedback, resulting in residual ICI. In this letter, we propose the optimization of the reference vector for regulating the residual ICI. Specifically, it is shown that the reference vector that minimizes an upper bound on the residual ICI power is the eigenvector corresponding to the largest eigenvalue of the sum of the interference-channel matrices multiplied by their corresponding Hermitian matrices. Moreover, the performance gain of the proposed IA algorithm compared with the existing one in is analyzed and demonstrated by simulation to be significant.
| Original language | English |
|---|---|
| Article number | 6196151 |
| Pages (from-to) | 960-963 |
| Number of pages | 4 |
| Journal | IEEE Communications Letters |
| Volume | 16 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 2012 |
Bibliographical note
Funding Information:Manuscript received February 15, 2012. The associate editor coordinating the review of this letter and approving it for publication was W. Hamouda. This research was supported by the Korea Communications Commission under grant KCA-2012-12-911-04-004. S. Cho, K. Huang, and D. Kim are with the school of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea (e-mail: {acecho, dkkim}@yonsei.ac.kr, huangkb@ieee.org). H. Seo is with the Advanced Communication Technology Lab, LG Electronics, Anyang, Korea (e-mail: hanbyul.seo@lge.com). Digital Object Identifier 10.1109/LCOMM.2012.050112.120316
All Science Journal Classification (ASJC) codes
- Modelling and Simulation
- Computer Science Applications
- Electrical and Electronic Engineering