Specifically, we observe that the state of the user with a high speed (42 m/s) can be estimated virtually with the same accuracy as a static user.
This paper takes advantage of this additional DoF to alleviate practical issues of successive interference cancellation (SIC) in rate-splitting multiple access (RSMA) schemes.
no code implementations • 2 Oct 2022 • Wali Ullah Khan, Asad Mahmood, Arash Bozorgchenani, Muhammad Ali Jamshed, Ali Ranjha, Eva Lagunas, Haris Pervaiz, Symeon Chatzinotas, Björn Ottersten, Petar Popovski
This paper first describes the introduction of 6G-empowered V2X communications and IRS technology.
Incentives that compensate for the involved costs in the decentralized training of a Federated Learning (FL) model act as a key stimulus for clients' long-term participation.
In this work, we propose a framework for energy-efficient trajectory design of an unmanned aerial vehicle (UAV)-based portable access point (PAP) deployed to serve a set of ground nodes (GNs).
no code implementations • 30 Aug 2022 • Dick Carrillo, Charalampos Kalalas, Petra Raussi, Diomidis S. Michalopoulos, Demóstenes Z. Rodríguez, Heli Kokkoniemi-Tarkkanen, Kimmo Ahola, Pedro H. J. Nardelli, Gustavo Fraidenraich, Petar Popovski
Fifth-generation (5G) and beyond systems are expected to accelerate the ongoing transformation of power systems towards the smart grid.
In this work, we study the trade-off between the reliability and the investment cost of an unmanned aerial system (UAS) consisting of a set of unmanned aerial vehicles (UAVs) carrying radio access nodes, called portable access points (PAPs)), deployed to serve a set of ground nodes (GNs).
Specifically, in Stage I, the channel state information (CSI) of a typical user is estimated.
Moreover, the user fairness, energy efficiency, and hence the FEE value of the system can be improved by efficiently moving the PAP above the GNs.
We introduce MixTailor, a scheme based on randomization of the aggregation strategies that makes it impossible for the attacker to be fully informed.
Environmental scene reconstruction is of great interest for autonomous robotic applications, since an accurate representation of the environment is necessary to ensure safe interaction with robots.
Finally, we reveal the structure of the formulated problem as a distributed coalition game and solve it following the simplified split-and-merge algorithm.
The first approach is based on a predefined model of the environment, while the second approach is measurement-based model-free approach, which is applicable to any environment.
Distributed training of machine learning models directly on satellites in low Earth orbit (LEO) is considered.
Distributed machine learning (DML) results from the synergy between machine learning and connectivity.
This paper proposes exploiting the spatial correlation of wireless channel statistics beyond the conventional received signal strength maps by constructing statistical radio maps to predict any relevant channel statistics to assist communications.
Rate-splitting multiple access (RSMA) has recently appeared as a powerful technique for improving the downlink performance of multiple-input multiple-output (MIMO) systems.
Hierarchical Rate Splitting (HRS) schemes proposed in recent years have shown to provide significant improvements in exploiting spatial diversity in wireless networks and provide high throughput for all users while minimising interference among them.
Since electromagnetic signals are omnipresent, Radio Frequency (RF)-sensing has the potential to become a universal sensing mechanism with applications in localization, smart-home, retail, gesture recognition, intrusion detection, etc.
Unmanned Aerial Vehicles (UAVs) are an important component of next-generation wireless networks that can assist in high data rate communications and provide enhanced coverage. Their high mobility and aerial nature offer deployment flexibility and low-cost infrastructure support to existing cellular networks and provide many applications that rely on mobile wireless communications.
This is a critical link tasked with a timely and reliable transfer of potentially significant amount of data from the multitude of sensors.
An emerging paradigm in ML is a federated approach where the learning model is delivered to a group of heterogeneous agents partially, allowing agents to train the model locally with their own data.
Mega-constellations of small-size Low Earth Orbit (LEO) satellites are currently planned and deployed by various private and public entities.
An Intelligent IoT Environment (iIoTe) is comprised of heterogeneous devices that can collaboratively execute semi-autonomous IoT applications, examples of which include highly automated manufacturing cells or autonomously interacting harvesting machines.
The usage of Reconfigurable Intelligent Surfaces (RIS) in conjunction with Unmanned Ariel Vehicles (UAVs) is being investigated as a way to provide energy-efficient communication to ground users in dense urban areas.
To tackle this issue, we developed Tesla, a Message Passing Neural Network (MPNN) graph convolution approach for mmWave radar point clouds.
In Low Earth Orbit (LEO) mega constellations, there are relevant use cases, such as inference based on satellite imaging, in which a large number of satellites collaboratively train a machine learning model without sharing their local datasets.
Thus, we propose a reactive method for the allocation of wireless resources, that happens dynamically each FL round, and is based on each learner's contribution to the general model.
In the first coherence block, we propose a two-phase channel estimation method, in which the cascaded channel of one typical user is estimated in Phase I based on the linear correlation among cascaded paths, while the cascaded channels of other users are estimated in Phase II by utilizing the partial CSI of the common base station (BS)-RIS channel obtained in Phase I.
Joint design of control and communication in Wireless Networked Control Systems (WNCS) is a promising approach for future wireless industrial applications.
In this paper, the appealing features of a dual-polarized intelligent reflecting surface (IRS) are exploited to improve the performance of dual-polarized massive multiple-input multiple-output (MIMO) with non-orthogonal multiple access (NOMA) under imperfect successive interference cancellation (SIC).
In this letter, we propose an energy-efficient 3-dimensional placement of multiple aerial access points (AAPs), in the desired area, acting as flying base stations for uplink communication from a set of ground user equipment (UE).
no code implementations • 9 Mar 2021 • Elif Uysal, Onur Kaya, Anthony Ephremides, James Gross, Marian Codreanu, Petar Popovski, Mohamad Assaad, Gianluigi Liva, Andrea Munari, Touraj Soleymani, Beatriz Soret, Karl Henrik Johansson
We present our vision for a departure from the established way of architecting and assessing communication networks, by incorporating the semantics of information for communications and control in networked systems.
Based on these fundamentals, we characterize seven unique defining features of THz wireless systems: 1) Quasi-opticality of the band, 2) THz-tailored wireless architectures, 3) Synergy with lower frequency bands, 4) Joint sensing and communication systems, 5) PHY-layer procedures, 6) Spectrum access techniques, and 7) Real-time network optimization.
Information Theory Information Theory
We will provide the formulas and derivations that are required to understand and analyze RIS-aided systems using signal processing, and exemplify how they can be utilized for improved communication, localization, and sensing.
As the use of Internet of Things (IoT) devices for monitoring purposes becomes ubiquitous, the efficiency of sensor communication is a major issue for the modern Internet.
Networking and Internet Architecture 94A05 (Primary), 94B35, 62M05 (Secondary) E.4; H.1.1
In this paper, we consider the problem of minimizing the AoI in a system in which a set of sources are observed by multiple sensors in a many-to-many relationship, and the probability that a sensor observes a source depends on the state of the source.
Information Theory Networking and Internet Architecture Information Theory
By considering the downlink of a multi-cluster scenario, the IRSs assist the base station (BS) to multiplex subsets of users in the polarization domain.
By treating an LIS as a radio image of the environment relying on the received signal power, we develop techniques to sense the environment, by leveraging the tools of image processing and machine learning.
Based on the type of the user, data can be viewed-only, controlled or the top user can register the sensor to the system.
no code implementations • 26 Oct 2020 • Dick Carrillo, Lam Duc Nguyen, Pedro H. J. Nardelli, Evangelos Pournaras, Plinio Morita, Demóstenes Z. Rodríguez, Merim Dzaferagic, Harun Siljak, Alexander Jung, Laurent Hébert-Dufresne, Irene Macaluso, Mehar Ullah, Gustavo Fraidenraich, Petar Popovski
In this sense, we expect active participation of empowered citizens to supplement the more usual top-down management of epidemics.
Distributed, Parallel, and Cluster Computing
The objective is to find an assignment of BSs to multiplexing bands in order to maximize the packet decoding probability (PDP).
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.
The dominance of distributed energy resources in microgrids and the associated weather dependency require flexible protection.
One of the beyond-5G developments that is often highlighted is the integration of wireless communication and radio sensing.
With numerous ongoing deployments owned by private companies and startups, dense satellite constellations deployed in low Earth orbit (LEO) will play a major role in the near future of wireless communications.
Networking and Internet Architecture
In our scheme, we classify transactions into two types: 1) global transactions, which must be processed by global blockchain nodes and 2) local transactions, which can be processed locally by entities called witnesses.
Networking and Internet Architecture Systems and Control Systems and Control
The data collected from Internet of Things (IoT) devices on various emissions or pollution, can have a significant economic value for the stakeholders.
Cryptography and Security Distributed, Parallel, and Cluster Computing
Age of Information is a critical metric for several Internet of Things (IoT) applications, where sensors keep track of the environment by sending updates that need to be as fresh as possible.
Networking and Internet Architecture 60K25, 68M20 C.2.2; G.3
One of the central problems in massive Internet of Things (IoT) deployments is the monitoring of the status of a massive number of links.
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).
Ultra-narrowband (UNB) communications has become a signature feature for many emerging low-power wide-area (LPWA) networks.
We propose a data filtering scheme employed by the IoT nodes, which we refer to as distributed importance filtering in order to filter out redundant data samples already at the IoT nodes.
Radio access management plays a vital role in delay and energy consumption of connected devices.
Information Theory Information Theory
Residential microgrids (MGs) may host a large number of Distributed Energy Resources (DERs).
We propose a decentralized Maximum Likelihood solution for estimating the stochastic renewable power generation and demand in single bus Direct Current (DC) MicroGrids (MGs), with high penetration of droop controlled power electronic converters.
The Massive MIMO (multiple-input multiple-output) technology has great potential to manage the rapid growth of wireless data traffic.
Information Theory Networking and Internet Architecture Information Theory