@techreport{TD:100763,
	att_abstract={{In order to manage interference in the K-user interference
channel we study optimal interference aligned solutions
using the Grassmannian distance between the signal and the
interference space as a metric. A locally optimal algorithm to
optimize the Grassmannian distance is described. The proposed
metric and algorithm are validated by an improvement in the
probability of error as compared to the baseline aligned solution.}},
	att_authors={va037f, vv9482},
	att_categories={},
	att_copyright={{IEEE}},
	att_copyright_notice={{This version of the work is reprinted here with permission of IEEE for your personal use. Not for redistribution. The definitive version was published in 2012 {{, 2012-03-21}}
}},
	att_donotupload={},
	att_private={false},
	att_projects={},
	att_tags={},
	att_techdoc={true},
	att_techdoc_key={TD:100763},
	att_url={http://web1.research.att.com:81/techdocs_downloads/TD:100763_DS1_2012-03-02T17:05:58.818Z.pdf},
	author={Vaneet Aggarwal and Vinay Vaishampayan and Xiaodong Wang and Khawla Al Najjar},
	institution={{Conference on Information Sciences and Systems}},
	month={March},
	title={{Grassmannian Packing Based Aligned Precoder Designs for Interference Channels}},
	year=2012,
}