Results 21 to 30 of about 14,777 (220)
Massive MU-MIMO-OFDM Downlink with One-Bit DACs and Linear Precoding [PDF]
Massive multiuser (MU) multiple-input multiple- output (MIMO) is foreseen to be a key technology in future wireless communication systems. In this paper, we analyze the downlink performance of an orthogonal frequency division multiplexing (OFDM)-based ...
Sven Jacobsson +11 more
core +1 more source
High-Efficiency Expectation Propagation Detector for High-Order Massive MIMO Systems
Multiple-inputs multiple-outputs (MIMO) technology, including massive MIMO, plays an important role in modern wireless communication systems. Massive MIMO systems with high-order modulation can promote spectrum efficiency.
Guoqiang Yao +3 more
doaj +1 more source
As the core technology of 5G mobile communication systems, massive multi-input multi-output (MIMO) can dramatically enhance the energy efficiency (EE), as well as the spectral efficiency (SE), which meets the requirements of new applications.
Bin Jiang +5 more
doaj +1 more source
Μελέτη και προσομοίωση τεχνικών Massive MIMO σε δίκτυα νέας γενιάς [PDF]
Το Massive multiple-input multiple-output (MIMO) είναι μια από τις πιο υποσχόμενες τεχνολογίες για την επόμενη γενιά ασύρματων δικτύων επικοινωνίας, επειδή έχει τη δυνατότητα να προσφέρει βελτιώσεις στη φασματική απόδοση (SE) και την ενεργειακή απόδοση ...
Θεοχαρίδης, Χρήστος
core
Finite-alphabet MMSE equalization for all-digital massive MU-MIMO mmWave communications [PDF]
We propose finite-alphabet equalization, a new paradigm that restricts the entries of the spatial equalization matrix to low-resolution numbers, enabling high-throughput, low-power, and low-cost hardware equalizers.
Goldstein, Tom +9 more
core +1 more source
Massive MIMO at night: On the operation of massive MIMO in low traffic scenarios
For both maximum ratio transmission (MRT) and zero forcing (ZF) precoding schemes and given any specific rate requirement the optimal transmit power, number of antennas to be used, number of users to be served and number of pilots spent on channel training are found with the objective to minimize the total consumed power at the base station.
Hei Victor Cheng +3 more
openaire +3 more sources
CSI Feedback Based on Deep Learning for Massive MIMO Systems
Aiming at the problem of high complexity and low feedback accuracy of existing channel state information (CSI) feedback algorithms for frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems, this paper proposes a CSI ...
Yong Liao +3 more
doaj +1 more source
Massive MIMO as a cyber-weapon
A scheme for a multi-antenna jammer, jamming a SISO primary link working in TDD mode is presented. The jammer relies on reciprocity to estimate the channel to a terminal in the primary link blindly. The jammer can then beamform noise towards this user to degrade the performance of the primary link.
Karlsson, Marcus, Larsson, Erik G
openaire +3 more sources
Throughput Analysis of Massive MIMO Uplink With Low-Resolution ADCs [PDF]
We investigate the uplink throughput achievable by a multiple-user (MU) massive multiple-input multiple-output (MIMO) system, in which the base station is equipped with a large number of low-resolution analog-to-digital converters (ADCs). Our focus is on
Giuseppe Durisi +14 more
core +1 more source
Massive MIMO-NOMA Based MEC in Task Offloading for Delay Minimization
Mobile edge computing (MEC) has been considered a promising technology to reduce task offloading and computing delay by enabling mobile devices to offload their computation-intensive tasks. Non-orthogonal multiple access (NOMA) is regarded as a promising
Saadet Simay Yilmaz, Berna Ozbek
doaj +1 more source

