A5001866739- Caching and Content Delivery
- IoT and Edge/Fog Computing
- Opportunistic and Delay-Tolerant Networks
- Image and Video Quality Assessment
- Advanced MIMO Systems Optimization
- Cooperative Communication and Network Coding
- Advanced Wireless Communication Technologies
- Full-Duplex Wireless Communications
- Advanced Wireless Network Optimization
- Age of Information Optimization
- Video Coding and Compression Technologies
- Wireless Communication Networks Research
- Software-Defined Networks and 5G
- Energy Harvesting in Wireless Networks
- IoT Networks and Protocols
- Multimedia Communication and Technology
- Energy Efficient Wireless Sensor Networks
- Telecommunications and Broadcasting Technologies
- Wireless Communication Security Techniques
- Advanced Memory and Neural Computing
- Radar Systems and Signal Processing
- Network Security and Intrusion Detection
- Speech and dialogue systems
- Target Tracking and Data Fusion in Sensor Networks
- Peer-to-Peer Network Technologies
Telefonica Research and Development
2024
Nokia (Finland)
2021-2024
University of Oulu
2014-2020
Cairo University
2012-2013
Virtual Reality (VR) is expected to be one of the killer-applications in 5G networks. However, many technical bottlenecks and challenges need overcome facilitate its wide adoption. In particular, VR requirements terms high-throughput, low-latency reliable communication call for innovative solutions fundamental research cutting across several disciplines. view this, this article discusses enablers ultra-reliable VR. Furthermore, an interactive gaming arcade case study, we show that a smart...
Edge computing is an emerging concept based on distributed computing, storage, and control services closer to end network nodes. lies at the heart of fifth-generation (5G) wireless systems beyond. While current state-of-the-art networks communicate, compute, process data in a centralized manner (at cloud), for latency compute-centric applications, both radio access computational resources must be brought edge, harnessing availability storage-enabled small cell base stations proximity...
In this paper, the fundamental problem of distribution and proactive caching computing tasks in fog networks is studied under latency reliability constraints. proposed scenario, can be executed either locally at user device or offloaded to an edge cloudlet. Moreover, cloudlets exploit both their storage capabilities by proactively popular task computation results minimize latency. To end, a clustering method group spatially proximate devices with mutual popularity interests serving proposed....
Immersive virtual reality (VR) applications require ultra-high data rate and low-latency for smooth operation. Hence in this paper, aiming to improve VR experience multi-user wireless video streaming, a deep-learning aided scheme maximizing the quality of delivered chunks with is proposed. Therein correlations predicted field view (FoV) locations viewers watching 360$^\circ$ HD videos are capitalized on realize proactive FoV-centric millimeter wave (mmWave) physical-layer multicast...
In this paper, the problem of content-aware user clustering and content caching in wireless small cell networks is studied. particular, a service delay minimization formulated, aiming at optimally contents base stations (SCBSs). To solve optimization problem, we decouple it into two interrelated subproblems. First, algorithm proposed grouping users with similar popularity to associate same SCBS, when possible. Second, reinforcement learning enable each SCBS learn distribution requested by...
In this paper, a novel proactive computing and mmWave communication for ultra-reliable low latency wireless virtual reality (VR is proposed. By leveraging information about users' poses, caching are used to pre-compute store HD video frames minimize the latency. Furthermore, multi-connectivity exploited ensure reliable links deliver requested frames. The performance of proposed approach validated on VR network serving an interactive gaming arcade, where dynamic real-time rendering needed...
In this paper, the problem of uplink (UL) and downlink (DL) resource optimization, mode selection, power allocation is studied for wireless cellular networks under assumption in-band full duplex base stations, non-orthogonal multiple access (NOMA) operation, queue stability constraints. The formulated as a network utility maximization which Lyapunov framework used to decompose it into two disjoint subproblems auxiliary variable selection rate maximization. latter further decoupled user...
Dynamic Time-division duplex (TDD) can provide efficient and flexible splitting of the common wireless cellular resources between uplink (UL) downlink (DL) users. In this paper, UL/DL optimization problem is formulated as a noncooperative game among small cell base stations (SCBSs) in which each station aims at minimizing its total UL DL flow delays. To solve game, self-organizing resource configuration scheme for TDD-based networks proposed. Using proposed scheme, an SCBS able to estimate...
This paper studies the problem of task distribution and proactive edge caching in fog networks with latency reliability constraints. In proposed approach, user nodes (UNs) offload their computing tasks to servers (cloudlets). Cloudlets leverage storage capabilities proactively compute store cacheable results. this regard, a popularity estimation policy schemes are proposed. Furthermore, UNs' cloudlets is modeled as one-to-one matching game. game, UNs whose requests exceed delay threshold use...
Cooperative multi-agent reinforcement learning (MARL) for navigation enables agents to cooperate achieve their goals. Using emergent communication, learn a communication protocol coordinate and share information that is needed tasks. In symbols with no pre-specified usage rules are exchanged, in which the meaning syntax emerge through training. Learning policy along MARL environment highly complex due huge state space be explored. To cope this complexity, work proposes novel neural network...
We formulate the downlink cross-carrier resource allocation problem in LTE-Advanced carrier aggregation (CA) systems as an unbalanced transportation (TP). The component carriers (CC's), or their associated sub-bands, represent supply points whereas users requesting traffic demand points. cost of shipping from a point to is set function proportional fairness (PF) metric. To balance problem, artificial added shortage satisfying case overloaded system. Backward compatibility with LTE Release 8...
Carrier aggregation is one of the promising features that expands bandwidth Long Term Evolution-Advanced (LTE-A) system through aggregating multiple carriers to support high data rate up 1 Gbit/s. When considering a multi-cell scenario, an appropriate resource allocation method takes inter-cell interference into account should be used. We investigate different soft frequency reuse (SFR) schemes and address important issue which how they applied in presence carriers. Particularly, we propose...
Virtual Reality (VR) applications require high data rate for a high-quality immersive experience, in addition to low latency avoid dizziness and motion sickness. One of the key wireless VR challenges is providing seamless connectivity meeting stringent bandwidth requirements. This work proposes proactive system that utilizes information about user's future orientation scheduling caching. achieved by leveraging deep neural networks predict users' trained on real dataset. The 360° scene then...
This e-letter summarizes our most recent work and contributed approaches to increase the capacity, cut down on latency provide higher reliability in several extended reality (XR) scenarios. To that end, technologies from emerging 5G communications systems are weaved together towards enabling a fully immersive XR experience.
In this paper, the problem of uplink (UL) and downlink (DL) resource optimization, mode selection power allocation is studied for wireless cellular networks under assumption in-band full duplex (IBFD) base stations, non-orthogonal multiple access (NOMA) operation, queue stability constraints. The formulated as a network utility maximization which Lyapunov framework used to decompose it into two disjoint subproblems auxiliary variable rate maximization. latter further decoupled user...
Wirelessly streaming high quality 360 degree videos is still a challenging problem. When there are many users watching different and competing for the computing communication resources, algorithm at hand should maximize average of experience (QoE) while guaranteeing minimum rate each user. In this paper, we propose cross layer optimization approach that maximizes available to user efficiently uses it users' QoE. Particularly, consider tile based video streaming, optimize QoE metric balances...
To effectively express and satisfy network application requirements, intent-based management has emerged as a promising solution. In methods, users applications their intent in high-level abstract language to the network. Although this abstraction simplifies operation, it induces many challenges efficiently applications' intents map them different capabilities. Therefore, work, we propose an AI-based framework for profiling translation. We consider scenario where interacting with needs...