Abstract
Zero-forcing (ZF) decoder is a commonly used approximation solution of the integer least squares problem, which arises in communications and many other applications. Numerical simulations have shown that the LLL reduction can usually improve the success probability PZF of the ZF decoder. In this letter, we first rigorously show that both SQRD and V-BLAST, two commonly used lattice reductions, have no effect on PZF. Then, we show that LLL reduction can improve PZF when n = 2, we also analyze how the parameter δ in the LLL reduction affects the enhancement of PZF. Finally, an example is given which shows that the LLL reduction decrease PZF when n ≥ 3.
| Original language | English |
|---|---|
| Article number | 7523341 |
| Pages (from-to) | 2031-2034 |
| Number of pages | 4 |
| Journal | IEEE Communications Letters |
| Volume | 20 |
| Issue number | 10 |
| DOIs | |
| State | Published - Oct 2016 |
Keywords
- Integer least squares problem
- LLL reduction
- SQRD
- V-BLAST
- success probability.
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