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Found 12 papers, 1 papers with code
Assessing the Potential of Space-Time-Coding Metasurfaces for Sensing and Localization
This type of topology causes impairments to the established communication methods by generating undesirable interference both in frequency and space, which is worsened when using wideband signals.
EMF Exposure Mitigation in RIS-Assisted Multi-Beam Communications
This paper proposes a method for reducing {third-party} exposure to electromagnetic fields (EMF) by exploiting the capability of a reconfigurable intelligent surfaces' (RIS) to manipulate the electromagnetic environment.
LSTM-ACB-Based RA for IoT Mixed Traffic
A novel random access (RA) scheme for mixed URLLC-mMTC traffic scenario is proposed using realistic statistical models, with the use mode presenting long-term traffic regularity.
LSTM-ACB-Based Random Access for Mixed Traffic IoT Networks
We propose a novel random access (RA) protocol that accounts for the network traffic in mixed URLLC-mMTC scenarios.
Crowded MTC Random Access in NOMA XL-MIMO
Massive MIMO is one of the key technologies to support the growth of massive access attempts by devices, such as in massive machine type communication (mMTC).
Multi-Power Level $Q$-Learning Algorithm for Random Access in NOMA mMTC Systems
The device learns the best resource blocks to select and transmit to avoid collisions.
GA-Aided Directivity in Volumetric and Planar Massive-Antenna Array Design
For a small number of antenna elements {, typically $N\in [4,\dots, 9]$,} the achievable directivity by GA optimization demonstrates gains of $\sim 3$ dBi compared with the traditional beamforming technique, using steering vector for uniform linear arrays (ULA) and uniform circular arrays (UCA), while gains of $\sim1. 5$ dBi are attained when compared with an improved UCA directivity method.
Antenna Selection for Improving Energy Efficiency in XL-MIMO Systems
We consider the recently proposed extra-large scale massive multiple-input multiple-output (XL-MIMO) systems, with some hundreds of antennas serving a smaller number of users.
XL-MIMO Energy-Efficient Antenna Selection under Non-Stationary Channels
Massive multiple-input-multiple-output (M-MIMO) is a key technology for 5G networks.
Stochastic Channel Models for Massive and XL-MIMO Systems
In this paper, stochastic channel models for massive MIMO (M-MIMO) and extreme large MIMO (XL- MIMO) system applications are described, evaluated and systematically compared.
A Grant-based Random Access Protocol in Extra-Large Massive MIMO System
Extra-large massive multiple-input multiple-output (XL-MIMO) systems is a new concept, where spatial non-stationarities allow activate a high number of user equipments (UEs).
Low-Complexity Distributed XL-MIMO for Multiuser Detection
In this paper, the zero-forcing and regularized zero-forcing schemes operating in crowded extra-large MIMO (XL-MIMO) scenarios with a fixed number of subarrays have been emulated using the randomized Kaczmarz algorithm (rKA).
