output
20022024
most citedBeyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking

1.8k citations

Showing 2014 · cs.ITShow all

7 papers · 2 filters

cs.IT20141 cited

Optimizing Multi-Cell Massive MIMO for Spectral Efficiency: How Many Users Should Be Scheduled?

Emil Björnson, Erik G. Larsson, Mérouane Debbah

Massive MIMO is a promising technique to increase the spectral efficiency of cellular networks, by deploying antenna arrays with hundreds or thousands of active elements at the bas…

cs.IT20141 cited

Massive MIMO with Optimal Power and Training Duration Allocation

Hien Quoc Ngo, Michail Matthaiou, Erik G. Larsson

We consider the uplink of massive multicell multiple-input multiple-output systems, where the base stations (BSs), equipped with massive arrays, serve simultaneously several termin…

cs.IT2014417 cited

Massive MIMO with Non-Ideal Arbitrary Arrays: Hardware Scaling Laws and Circuit-Aware Design

Emil Björnson, Michail Matthaiou, Mérouane Debbah

Massive multiple-input multiple-output (MIMO) systems are cellular networks where the base stations (BSs) are equipped with unconventionally many antennas, deployed on co-located o…

cs.IT201418 cited

Asymptotic Analysis of SU-MIMO Channels With Transmitter Noise and Mismatched Joint Decoding

Mikko Vehkaperä, Taneli Riihonen, Maksym A. Girnyk +4

Hardware impairments in radio-frequency components of a wireless system cause unavoidable distortions to transmission that are not captured by the conventional linear channel model…

cs.IT2014

Multipair Full-Duplex Relaying with Massive Arrays and Linear Processing

Hien Quoc Ngo, Himal A. Suraweera, Michail Matthaiou +1

We consider a multipair decode-and-forward relay channel, where multiple sources transmit simultaneously their signals to multiple destinations with the help of a full-duplex relay…

cs.IT2014

Capacity estimation of two-dimensional channels using Sequential Monte Carlo

Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön

We derive a new Sequential-Monte-Carlo-based algorithm to estimate the capacity of two-dimensional channel models. The focus is on computing the noiseless capacity of the 2-D one-i…