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Found 28 papers, 0 papers with code
Extended Automatic Repeat Request For Integrated Sensing And Communication Networks
6G wireless networks will integrate communication, computing, localization, and sensing capabilities while meeting the needs of high reliability and trustworthiness.
Beam Squinting Compensation: An NCR-Assisted Scenario
NCRs, which have been standardized in 3rd generation partnership project Release 18, are radio frequency repeaters with beamforming capability controlled by the network through side control information.
Joint User Detection and Localization in Near-Field Using Reconfigurable Intelligent Surfaces
This letter studies the problem of jointly detecting active user equipments (UEs) and estimating their location in the near field, wherein the base station (BS) is unaware of the number of active (or inactive) UEs and their positions.
Multi-hop Sub-THz-FSO: A Technique for High-rate Uninterrupted Backhauling in 6G
Moving towards $6^{\text{th}}$ generation (6G), backhaul networks require significant improvements to support new use-cases with restricted joint capacity and availability requirements.
Beamforming in Wireless Coded-Caching Systems
To that end, we investigate a wireless transport network architecture that integrates beamforming and coded-caching strategies.
Interference mitigation with block diagonalization for IRS-aided MU-MIMO communications
This work investigates interference mitigation techniques in multi-user multiple input multiple output (MU-MIMO) Intelligent Reflecting Surface (IRS)-aided networks, focusing on the base station end.
Tensor-based modeling/estimation of static channels in IRS-assisted MIMO systems
This paper proposes a tensor-based parametric modeling and estimation framework in multiple-input multiple-output (MIMO) systems assisted by intelligent reflecting surfaces (IRSs).
System Level Evaluation of Network-Controlled Repeaters: Performance Improvement of Serving Cell and Interference Impact on Neighbor Cells
Heterogeneous networks have been studied as one of the enablers of network densification.
Low-Complexity Joint Active and Passive Beamforming Design for IRS-Assisted MIMO
In this letter, we consider an intelligent reflecting surface (IRS)-assisted multiple input multiple output (MIMO) communication and we optimize the joint active and passive beamforming by exploiting the geometrical structure of the propagation channels.
Tensor-Based Channel Estimation and Data-Aided Tracking in IRS-Assisted MIMO Systems
This letter proposes a model for symbol detection in the uplink of IRS-assisted networks in the presence of channel aging.
Two-Dimensional Channel Parameter Estimation for IRS-Assisted Networks
The tradeoffs between performance and complexity offered by the proposed methods are discussed and numerically assessed.
A Wideband Reconfigurable Intelligent Surface for 5G Millimeter-Wave Applications
The measurement results demonstrate that the proposed RIS could maintain a 3 dB peak gain variation bandwidth among various array configurations within 22. 5 to 29. 5 GHz (26. 9%) and with a beam scanning capability of 50{\deg}, making this design a good candidate for 5G mm-wave applications.
Tensor-Based High-Resolution Channel Estimation for RIS-Assisted Communications
This letter proposes a high-resolution channel estimation for reconfigurable intelligent surface (RIS)-assisted communication networks.
High-rate Reliable Communication using Multi-hop and Mesh THz/FSO Networks
We consider different deployments of the THz and FSO networks and consider both switching and combining methods between the hybrid FSO/THz links.
A Via-less Fully Screen-Printed Reconfigurable Intelligent Surface for 5G Millimeter Wave Communication
In this paper, we propose a via-less fully screen-printed reconfigurable intelligent surface which can establish a second line-of-sight communication from 23. 5GHz to 29. 5GHz.
Constrained Deployment Optimization in Integrated Access and Backhaul Networks
Due to the sensitivity of the backhaul links with high rate/reliability demands, proper network planning is needed to make the IAB network performing appropriately and as good as possible.
Paving the Way Towards Mobile IAB: Problems, Solutions and Challenges
In this context, different of other works from the literature, the present work overviews the basis for the deployment of mIAB by presenting: 1) the current status of IAB standardization in the fifth generation (5G) new radio (NR); 2) a new taxonomy for state-of-the-art works regarding fixed IAB and mIAB; 3) an extensive performance analysis of mIAB based on simulation results; and 4) open challenges and potential future prospects of mIAB.
Reducing the Control Overhead of Intelligent Reconfigurable Surfaces Via a Tensor-Based Low-Rank Factorization Approach
We show that the proposed low-rank models drastically reduce the required feedback requirements associated with the BS-IRS control links.
Tensor-Based Channel Estimation for RIS-Assisted Networks Operating Under Imperfections
Furthermore, the identifiability and computational complexity of the proposed algorithm are analyzed, and we study the effect of different imperfections on the channel estimation quality.
IRS Phase-Shift Feedback Overhead-Aware Model Based on Rank-One Tensor Approximation
In this paper, we propose a rank-one tensor modeling approach that yields a compact representation of the optimum IRS phase-shift vector for reducing the feedback overhead.
TDD frame design for interference handling in mobile IAB networks
As in every new technology, performance assessment and evaluation of the impact of interference is of interest for industry and academia.
Hybrid FSO/THz-based Backhaul Network for mmWave Terrestrial Communication
To minimize the effect of back-and-forth switching, soft switching method is introduced at the access point (AP) to select the signal coming through the hybrid FSO/THz link, and a comparison with hard switching method is presented.
Joint Scheduling and Throughput Maximization in Self-backhauled Millimeter Wave Cellular Networks
Integrated access and backhaul (IAB) networks have the potential to provide high data rate in both access and backhaul networks by sharing the same spectrum.
On Topology Optimization and Routing in Integrated Access and Backhaul Networks: A Genetic Algorithm-based Approach
In this paper, we study the problem of topology optimization and routing in integrated access and backhaul (IAB) networks, as one of the promising techniques for evolving 5G networks.
Predictor Antenna: A Technique to Boost the Performance of Moving Relays
In future wireless systems, a large number of users may access the networks via moving relays (MRs) installed on top of vehicles.
Information Theory Signal Processing Information Theory
Predictor Antennas for Moving Relays: Finite Block-length Analysis
We use the fundamental results on the achievable rate of finite block-length codes to study the system throughput and error probability in the presence of short packets.
Information Theory Signal Processing Information Theory
Scoring the Terabit/s Goal:Broadband Connectivity in 6G
Several categories of enablers at the infrastructure, spectrum, and protocol/algorithmic levels are required to realize the intended broadband connectivity goals in 6G.
Hybrid Precoding in Cooperative Millimeter Wave Networks
Considering joint transmissions and BS silence strategy, we propose hybrid precoding algorithms which minimize the sum power consumption of the base stations (BSs), for both fully- and partially-connected hybrid precoding (FHP and PHP, respectively) schemes, for single-carrier and orthogonal frequency-division multiplexing systems.
