156 citations · 481 across the 53 of their papers we have counts for
59 papers
Sensing Assisted Satellite Backhaul with FBL UL and Broadcast DL for Massive IoT
Tijana Devaja, Milica Petkovic, Israel Leyva-Mayorga +2
Massive Internet of Things (IoT) networks operate with short packets whose reliability is limited by finite block- length (FBL) effects, while remote deployments increasingly rely…
Rate-Splitting-Inspired Uplink ISAC: A Rate-Region Analysis
Anup Mishra, Israel Leyva-Mayorga, Petar Popovski
Integrated sensing and communication (ISAC) enables sensing and communication (S&C) functionalities to share spectrum, hardware, and signal-processing resources, but the resulting…
Rate-Splitting--Inspired Bistatic OFDM-ISAC
Bruno F. Costa, Anup Mishra, Israel Leyva-Mayorga +2
Achieving effective uplink bistatic ISAC over an OFDM waveform gives rise to challenging interference structures. These are mostly due to unequal direct- and echo-path contribution…
Statistical Analysis for Energy-Efficient Satellite Edge Computing with Latency Guarantees
Nicolai Dalsgaard Lyholm, Beatriz Soret, Tijana Devaja +3
Being able to provide latency guarantees for orbital edge computing applications through Low Earth Orbit (LEO) satellite constellations is a major milestone for their integration i…
Cooperative Multi-Static Target Localization for ISAC in Cluttered Industrial IoT Networks
Mostafa Nozari, Israel Leyva-Mayorga, Gilberto Berardinelli
In this paper, we propose a novel integrated sensing and communications (ISAC) framework for collaborative multi-static target localization in dense Industrial Internet-of-Things (…
Edge Intelligence for Satellite-based Earth Observation: Scheduling Image Acquisition and Processing
Beatriz Soret, Antonio M. Mercado-Martínez, Antonio Jurado-Navas +4
Modern Earth Observation (EO) missions generate massive volumes of imagery that challenge existing downlink and ground-processing capabilities, particularly for time-critical appli…
Initialization and Rate-Quality Functions for Generative Network Layer Protocols
Mathias Thorsager, Israel Leyva-Mayorga, Petar Popovski
Generative AI (GenAI) creates full content based on compact encodings. While GenAI has been used for applications where the generated content is returned to the encoding sender, it…
Statistical Characterization and Prediction of E2E Latency over LEO Satellite Networks
Andreas Casparsen, Jonas Ellegaard Jakobsen, Jimmy Jessen Nielsen +2
Low Earth Orbit (LEO) satellite networks are emerging as an essential communication infrastructure, with standardized 5G-based non-terrestrial networks and their integration with t…
Policy Gradient Algorithms for Age-of-Information Cost Minimization
José-Ramón Vidal, Vicent Pla, Luis Guijarro +1
Recent developments in cyber-physical systems have increased the importance of maximizing the freshness of the information about the physical environment. However, optimizing the a…
ISAC-Powered Distributed Matching and Resource Allocation in Multi-band NTN
Israel Leyva-Mayorga, Shashi Raj Pandey, Petar Popovski +3
Scalability is a major challenge in non-geostationary orbit (NGSO) satellite networks due to the massive number of ground users sharing the limited sub-6 GHz spectrum. Using K- and…
Tunable Gaussian Pulse for Delay-Doppler ISAC
Bruno Felipe Costa, Anup Mishra, Israel Leyva-Mayorga +2
Integrated sensing and communication (ISAC) for next-generation networks targets robust operation under high mobility and high Doppler spread, leading to severe inter-carrier inter…
Toward ISAC-empowered subnetworks: Cooperative localization and iterative node selection
Mostafa Nozari, Israel Leyva-Mayorga, Fabio Saggese +1
This paper tackles the sensing-communication trade-off in integrated sensing and communication (ISAC)-empowered subnetworks for mono-static target localization. We propose a low-co…
Wireless Memory Approximation for Energy-efficient Task-specific IoT Data Retrieval
Junya Shiraishi, Shashi Raj Pandey, Israel Leyva-Mayorga +1
The use of Dynamic Random Access Memory (DRAM) for storing Machine Learning (ML) models plays a critical role in accelerating ML inference tasks in the next generation of communica…
Leveraging Generative AI for large-scale prediction-based networking
Mathias Thorsager, Israel Leyva-Mayorga, Petar Popovski
The traditional role of the network layer is to create an end-to-end route, through which the intermediate nodes replicate and forward the packets towards the destination. This rol…
1Q: First-Generation Wireless Systems Integrating Classical and Quantum Communication
Petar Popovski, Čedomir Stefanović, Beatriz Soret +8
We introduce the concept of 1Q, the first wireless generation of integrated classical and quantum communication. 1Q features quantum base stations (QBSs) that support entanglement…
To Share, or Not to Share: A Study on GEO-LEO Systems for IoT Services with Random Access
Marcel Grec, Federico Clazzer, Israel Leyva-Mayorga +3
The increasing number of satellite deployments, both in the low and geostationary Earth orbit exacerbates the already ongoing scarcity of wireless resources when targeting ubiquito…
End-to-end Modeling and Optimization of Timing and Energy in Wireless IoT Systems
Pietro Talli, Anup Mishra, Federico Chiariotti +3
With the advent of edge computing, data generated by end devices can be pre-processed before transmission, possibly saving transmission time and energy. On the other hand, data pro…
Energy Management and Wake-up for IoT Networks Powered by Energy Harvesting
David Ernesto Ruiz-Guirola, Samuel Montejo-Sanchez, Israel Leyva-Mayorga +3
The rapid growth of the Internet of Things (IoT) presents sustainability challenges such as increased maintenance requirements and overall higher energy consumption. This motivates…
Dual-Mode Wireless Devices for Adaptive Pull and Push-Based Communication
Sara Cavallero, Fabio Saggese, Junya Shiraishi +4
This paper introduces a dual-mode communication framework for wireless devices that integrates query-driven (pull) and event-driven (push) transmissions within a unified time-frame…
Reinforcement Learning-Based Policy Optimisation For Heterogeneous Radio Access
Anup Mishra, Čedomir Stefanović, Xiuqiang Xu +2
Flexible and efficient wireless resource sharing across heterogeneous services is a key objective for future wireless networks. In this context, we investigate the performance of a…
Scalable Data Transmission Framework for Earth Observation Satellites with Channel Adaptation
Van-Phuc Bui, Shashi Raj Pandey, Israel Leyva-Mayorga +1
The immense volume of data generated by Earth observation (EO) satellites presents significant challenges in transmitting it to Earth over rate-limited satellite-to-ground communic…
Coexistence of Real-Time Source Reconstruction and Broadband Services Over Wireless Networks
Anup Mishra, Nikolaos Pappas, Čedomir Stefanović +5
Achieving a flexible and efficient sharing of wireless resources among a wide range of novel applications and services is one of the major goals of the sixth-generation of mobile s…
Coexistence of Radar and Communication with Rate-Splitting Wireless Access
Anup Mishra, Israel Leyva-Mayorga, Petar Popovski
Future wireless networks are envisioned to facilitate the seamless coexistence of communication and sensing functionalities, thereby enabling the much-touted integrated sensing and…
A Game-Theoretic Perspective for Efficient Modern Random Access
Andreas Peter Juhl Hansen, Jeppe Roden Münster, Rasmus Erik Villadsen +4
Modern random access mechanisms combine packet repetitions with multi-user detection mechanisms at the receiver to maximize the throughput and reliability in massive Internet of Th…