In this paper, we investigate joint antenna selection and spatial switching for quality-of-service-constrained energy efficiency (EE) optimization in a multiple-input multiple-output simultaneous… (More)
2016 IEEE International Symposium on Information…
2016
Support recovery of sparse signals from noisy measurements with orthogonal matching pursuit (OMP) has been extensively studied in the literature. In this paper, we show that for any K-sparse signal… (More)
In this paper, we use the block orthogonal matching pursuit (BOMP) algorithm to recover block sparse signals x from measurements y = Ax+v, where v is a l2 bounded noise vector (i.e., ‖v‖2 ≤ ǫ for… (More)
In this paper, we show that, under the assumption that ‖e‖2 ≤ ǫ, every k−sparse signal x ∈ R can be stably (ǫ 6= 0) or exactly recovered (ǫ = 0) from y = Ax+ e via lp−mnimization with p ∈ (0, p̄],… (More)
A common method to estimate an unknown integer parameter vector in a linear model is to solve an integer least squares (ILS) problem. A typical approach to solving an ILS problem is sphere decoding.… (More)
In many applications including communications, one may encounter a linear model where the parameter vector <inline-formula> <tex-math notation="LaTeX">$\hat { {x}}$ </tex-math></inline-formula> is an… (More)
Support recovery of sparse signals from noisy measurements with orthogonal matching pursuit (OMP) has been extensively studied. In this paper, we show that for any <inline-formula><tex-math… (More)
2016 IEEE International Symposium on Information…
2016
We modify the algorithm proposed by Sahraei et al. in 2015, resulting an algorithm with expected complexity of O(n log n) arithmetic operations to solve a special shortest vector problem arising in… (More)
We consider the compute-and-forward protocol design problem with the objective being maximizing the computation rate at a single relay, and propose an efficient method that finds the optimal solution… (More)
In this paper, we study the orthogonal least squares (OLS) algorithm for sparse recovery. On one hand, we show that if the sampling matrix <inline-formula><tex-math notation="LaTeX">$\mathbf… (More)