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Found 26 papers, 12 papers with code
Novel LoS $β-γ$ THz Channel Unifying Molecular Re-radiation Manifestations
This paper introduces a novel line-of-sight (LoS) $\beta-\gamma$ terahertz (THz) channel model that closely mirrors physical reality by considering radiation trapping.
Stochastic Geometry Analysis of a New GSCM with Dual Visibility Regions
For example, the condition of visibility of a scatterer from the perspective of a BS is different from that of an MS and depends on the height of the scatterer.
RIS-Aided Kinematic Analysis for Remote Rehabilitation
More specifically, we investigate the possibility of using on-body RISs to estimate the location information over time of upper limbs that may have been impaired due to stroke.
A Probabilistic Reformulation Technique for Discrete RIS Optimization in Wireless Systems
We rigorously establish that for the unconstrained case, the optimal points of the reformulation and the original problem coincide.
Robust Optimization of RIS in Terahertz under Extreme Molecular Re-radiation Manifestations
Terahertz (THz) communication signals are susceptible to severe degradation because of the molecular interaction with the atmosphere in the form of subsequent absorption and re-radiation.
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications
Communication systems to date primarily aim at reliably communicating bit sequences.
Fundamentals of RIS-Aided Localization in the Far-Field
Specifically, we start from the assumption that the position and orientation of a RIS can be viewed as prior information for RIS-aided localization in wireless systems and derive Bayesian bounds for the localization of a user equipment (UE).
Universal Learning Waveform Selection Strategies for Adaptive Target Tracking
More recently, reinforcement learning has been proposed for waveform selection, in which the problem is framed as a Markov decision process (MDP), allowing for long-term planning.
Predictive Closed-Loop Service Automation in O-RAN based Network Slicing
To cater to the dynamic service requirements of these verticals and meet the required quality-of-service (QoS) mentioned in the service-level agreement (SLA), network slices need to be isolated through dedicated elements and resources.
Tensor Learning-based Precoder Codebooks for FD-MIMO Systems
We find the best representation of the optimal precoder as a function of Kronecker Product (KP) of two low-dimensional precoders, respectively corresponding to the horizontal and vertical dimensions of the UPA, obtained from the tensor decomposition of the channel.
Intelligent Surface Optimization in Terahertz under Two Manifestations of Molecular Re-radiation
The operation of Terahertz (THz) communication can be significantly impacted by the interaction between the transmitted wave and the molecules in the atmosphere.
Air-to-Ground Directional Channel Sounder With 64-antenna Dual-polarized Cylindrical Array
Unmanned Aerial Vehicles (UAVs), popularly called drones, are an important part of future wireless communications, either as user equipment that needs communication with a ground station, or as base station in a 3D network.
Learning on a Grassmann Manifold: CSI Quantization for Massive MIMO Systems
This paper focuses on the design of beamforming codebooks that maximize the average normalized beamforming gain for any underlying channel distribution.
Intelligent O-RAN for Beyond 5G and 6G Wireless Networks
Building on the principles of openness and intelligence, there has been a concerted global effort from the operators towards enhancing the radio access network (RAN) architecture.
Load on the Typical Poisson Voronoi Cell with Clustered User Distribution
In this letter, we characterize the distribution of the number of users associated with the typical base station (BS), termed the typical cell load, in a cellular network where the BSs are distributed as a homogeneous Poisson point process (PPP) and the users are distributed as an independent Poisson cluster process (PCP).
Information Theory Information Theory
Impact of UAV Wobbling on the Air-to-Ground Wireless Channel
This paper studies the impact of unmanned aerial vehicle (UAV) wobbling on the coherence time of the wireless channel between UAVs and a ground user equipment (UE), using a Rician multi-path channel model.
Information Theory Signal Processing Information Theory
Handover Probability in Drone Cellular Networks
This letter analyzes the handover probability in a drone cellular network where the initial positions of drone base stations (DBSs) serving a set of user equipment (UE) on the ground are modeled by a homogeneous Poisson point process (PPP).
Information Theory Signal Processing Information Theory
Fundamentals of Drone Cellular Network Analysis under Random Waypoint Mobility Model
All the other DBSs are considered as interfering DBSs for the typical UE.
Information Theory Signal Processing Information Theory
Performance Characterization of Canonical Mobility Models in Drone Cellular Networks
In this paper, we characterize the performance of several canonical mobility models in a drone cellular network in which drone base stations (DBSs) serve user equipments (UEs) on the ground.
Information Theory Information Theory
Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges
There is a growing interest in the wireless communications community to complement the traditional model-based design approaches with data-driven machine learning (ML)-based solutions.
3GPP-inspired Stochastic Geometry-based Mobility Model for a Drone Cellular Network
To the best of our knowledge, this is the first work to perform a rigorous analysis of the 3GPP-inspired drone mobility model and establish connection between this model and the more general non-linear mobility models.
Information Theory Signal Processing Information Theory
Machine Learning meets Stochastic Geometry: Determinantal Subset Selection for Wireless Networks
In wireless networks, many problems can be formulated as subset selection problems where the goal is to select a subset from the ground set with the objective of maximizing some objective function.
Load Balancing in 5G HetNets with Millimeter Wave Integrated Access and Backhaul
With the goal of elucidating key design trends for this new paradigm, we develop an analytical framework for a two-tier HetNet with IAB where the macro base stations (MBSs) provide mm-wave backhaul to the small cell base stations (SBSs).
Information Theory Information Theory
Coverage and Rate Analysis of Downlink Cellular Vehicle-to-Everything (C-V2X) Communication
In this paper, we present the downlink coverage and rate analysis of a cellular vehicle-to-everything (C-V2X) communication network where the locations of vehicular nodes and road side units (RSUs) are modeled as Cox processes driven by a Poisson line process (PLP) and the locations of cellular macro base stations (MBSs) are modeled as a 2D Poisson point process (PPP).
Information Theory Networking and Internet Architecture Information Theory
Unified Analysis of HetNets using Poisson Cluster Process under Max-Power Association
Owing to its flexibility in modeling real-world spatial configurations of users and base stations (BSs), the Poisson cluster process (PCP) has recently emerged as an appealing way to model and analyze heterogeneous cellular networks (HetNets).
Information Theory Networking and Internet Architecture Information Theory
Shortest Path Distance in Manhattan Poisson Line Cox Process
While the Euclidean distance characteristics of the Poisson line Cox process (PLCP) have been investigated in the literature, the analytical characterization of the path distances is still an open problem.
Information Theory Networking and Internet Architecture Information Theory
