Title
Success probability of the Babai estimators for box-constrained integer linear models.
Abstract
In many applications including communications, one may encounter a linear model where the parameter vector $\\hat { {x}}$ is an integer vector in a box. To estimate $\\hat { {x}}$ , a typical method is to solve a box-constrained integer least squares problem. However, due to its high complexity, the box-constrained Babai integer point $ {x}^ {\\scriptscriptstyle \\text {BB}}$ is commonly used as a suboptimal solution. In this paper, we first derive formulas for the success probability $P^ {\\scriptscriptstyle \\text {BB}}$ of $ {x}^ {\\scriptscriptstyle \\text {BB}}$ and the success probability $P^ {\\scriptscriptstyle \\text {OB}}$ of the ordinary Babai integer point $ {x}^ {\\scriptscriptstyle \\text {OB}}$ when $\\hat { {x}}$ is uniformly distributed over the constraint box. Some properties of $P^ {\\scriptscriptstyle \\text {BB}}$ and $P^ {\\scriptscriptstyle \\text {OB}}$ and the relationship between them are studied. Then, we investigate the effects of some column permutation strategies on $ {P}^ {\\scriptscriptstyle \\text {BB}}$ . In addition to V-BLAST and SQRD, we also consider the permutation strategy involved in the LLL lattice reduction, to be referred to as LLL-P. On the one hand, we show that when the noise is relatively small, LLL-P always increases $P^ {\\scriptscriptstyle \\text {BB}}$ and argue why both V-BLAST and SQRD often increase $P^ {\\scriptscriptstyle \\text {BB}}$ ; and on the other hand, we show that when the noise is relatively large, LLL-P always decreases $P^ {\\scriptscriptstyle \\text {BB}}$ and argue why both V-BLAST and SQRD often decrease $P^ {\\scriptscriptstyle \\text {BB}}$ . We also derive a column permutation invariant bound on $P^ {\\scriptscriptstyle \\text {BB}}$ , which is an upper bound and a lower bound under these two opposite conditions, respectively. Numerical results demonstrate our findings. Finally, we consider a conjecture concerning $ {x}^ {\\scriptscriptstyle \\text {OB}}$ proposed by Ma et al. We first construct an example to show that the conjecture does not hold in general, and then show that it does hold under some conditions.
Year
DOI
Venue
2014
10.1109/TIT.2016.2627082
IEEE Trans. Information Theory
Keywords
Field
DocType
Zinc,Search methods,Oils,Signal to noise ratio,Algorithm design and analysis,Complexity theory,Upper bound
Integer,Discrete mathematics,Combinatorics,Linear model,Upper and lower bounds,Permutation,Invariant (mathematics),Conjecture,Mathematics,Lattice reduction,Estimator
Journal
Volume
Issue
ISSN
abs/1410.5040
1
0018-9448
Citations 
PageRank 
References 
26
1.01
23
Authors
2
Name
Order
Citations
PageRank
Jinming Wen1261.01
Xiao-Wen Chang220824.85