390 citations · 3.4k across the 56 of their papers we have counts for
18 papers · 1 filter
Optimization of MIMO Device-to-Device Networks via Matrix Fractional Programming: A Minorization-Maximization Approach
Kaiming Shen, Wei Yu, Licheng Zhao +1
Interference management is a fundamental issue in device-to-device (D2D) communications whenever the transmitter-and-receiver pairs are located in close proximity and frequencies a…
Effective Low-Complexity Optimization Methods for Joint Phase Noise and Channel Estimation in OFDM
Zhongju Wang, Prabhu Babu, Daniel P. Palomar
Phase noise correction is crucial to exploit full advantage of orthogonal frequency division multiplexing (OFDM) in modern high-data-rate communications. OFDM channel estimation wi…
Undersampled Phase Retrieval via Majorization-Minimization
Tianyu Qiu, Daniel P. Palomar
In the undersampled phase retrieval problem, the goal is to recover an -dimensional complex signal from only noisy intensity measurements without phase inform…
Joint Optimization of Power and Data Transfer in Multiuser MIMO Systems
Javier Rubio, Antonio Pascual-Iserte, Daniel P. Palomar +1
We present an approach to solve the nonconvex optimization problem that arises when designing the transmit covariance matrices in multiuser multiple-input multiple-output (MIMO) br…
PRIME: Phase Retrieval via Majorization-Minimization
Tianyu Qiu, Prabhu Babu, Daniel P. Palomar
This paper considers the phase retrieval problem in which measurements consist of only the magnitude of several linear measurements of the unknown, e.g., spectral components of a t…
Convex separable problems with linear and box constraints in signal processing and communications
Antonio A. D'Amico, Luca Sanguinetti, Daniel P. Palomar
In this work, we focus on separable convex optimization problems with box constraints and a set of triangular linear constraints. The solution is given in closed-form as a function…