This article proposes multiple multi-domain solutions to deploy private SG networks for vertical industries. Different models of deploying SG private networks are presented, covering deployment on local premises as well as their interconnection with public networks of mobile network operators. Building on a set of industry verticals (comprising Industry 4.0, …
Joint communication and sensing allows the utilization of common spectral resources for communication and localization, reducing the cost of deployment. By using 5G New Radio (NR) (i.e., the 3rd Generation Partnership Project (3GPP) Radio Access Network for fifth generation) reference signals, conventionally used for communication, sub-meter precision localizati…
research Paper / Sep 2020 / Wireless communication, Network and Communications, Computing and Optimization
Mobile edge computing (MEC) is an emerging paradigm that integrates computing resources in wireless access networks to process computational tasks in close proximity to mobile users with low latency. In this paper, we propose an online double deep Q networks (DDQN) based learning scheme for task assignment in dynamic MEC networks, which enables multiple distribu…
Blockchain technology is a technology that jointly leverages and builds on top of a few existing techniques such as cryptography, hashing, Peer-to-Peer (P2P) networking, smart contract, and consensus protocols. Fully distributed control and management capability of the 5G/6G wireless systems may be enabled by blockchain technology, especially in the untrusted en…
research Paper / Feb 2024 / Wireless communication, 5G, Machine learning/ Deep learning /Artificial Intelligence
The ubiquitous deployment of 4G/5G technology has made it a critical infrastructure for society that will facilitate the delivery and adoption of emerging applications and use cases (extended reality, automation, robotics, to name but a few). These new applications require high throughput and low latency in both uplink and downlink for optimal performance, while…
New Radio (NR) supports operations at high frequency bands (e.g., millimeter wave frequencies) by using narrow beam based directional transmissions in order to compensate high propagation losses at such frequencies. Due to the limited spatial coverage with each beam, the broadcast transmission of paging in NR is performed using beam sweeping, which takes multipl…
Techniques which leverage channel state information (CSI) at a transmitter to adapt wireless signals to changing propagation conditions have been shown to improve the reliability of modern multiple input multiple output (MIMO) communication systems. Due to the difficulty of estimating downlink CSI at the transmitter in many wireless systems, CSI is estimated at …
The traditional role of a communication engineer is to address the technical problem of transporting bits reliably overa noisy channel. With the emergence of 5G, and the availability
Zero-forcing precoding is a commonly-used multiple-user, multiple-input multiple-output beamforming technique. Applying such precoding, the signal-to-interference-plus-noise ratio (SINR) statistics with outdated channel state information, which involve various projections related to the multi-dimensional channel vectors and precoding vectors, have never been exp…
Abstract—Ubiquitous connectivity is vital for emerging appli cations like extended reality, factory automation, and robotics, necessitating low latency, high data rates, and reliability in both downlink and uplink. From the network protocol perspective, successfully supporting these new use cases hinges on the network being resilient enough to address the hetero…
"The geographic data and timestamps of subscribers held by mobile carriers have long been used by law enforcement and intelligence agencies to conduct legal investigations, largescale surveillance, or even unconstitutional search. Meanwhile, with the surge in popularity of Location-based Services (LBS) over the past decade, selling the geolocation information of…
In this paper, we propose a novel approach for real-time radar-based human activities detection and classification. In this approach, first, the radar transceiver is mounted on the room’s ceiling leading to considerable variations of the relative received power as the subject perform the different activities. Second, to exploit the different activities’ dynamics…
"The future wireless networks look forwards to proving ubiquitous connection with reduced power consumption. Benefits from the development of programmable and softwaredefined metamaterials, the reconfigurable holographic surface (RHS) is of great potential"
research Paper / Nov 2020 / 5G, Wireless communication, Network and Communications, Computing and Optimization
This paper investigates the task management for cooperative mobile edge computing (MEC), where a set of geographically distributed heterogeneous edge nodes not only cooperate with remote cloud data centers but also help each other to jointly process tasks and support real-time IoT applications at the edge of the network. Especially, we address the challenges in …
research Paper / Jan 2024 / Machine learning/ Deep learning /Artificial Intelligence, 5G, Wireless communication
"Abstract—3rd Generation Partnership Project (3GPP) Release 18 has initiated a comprehensive study of Artificial Intelligence (AI)/Machine Learning (ML) use cases for Air Interface, e.g., Channel State Information (CSI) feedback enhancement, beam management, and positioning accuracy enhancement. In order to advance the adoption of AI/ML in 5G and towards 6G, it …
In this paper, a simple compact radiation pattern reconfigurable patch antenna is presented. The proposed design is composed of two back-to-back identical patches surrounded by a conductive strip, etched on both sides of a dielectric substrate. It has the same dimensions as a classical patch. Thanks to the use of well-placed switches, it allows switching its rad…
The emergence of edge computing introduces new complexity in the creation of distributed mobile applications. Application designers can now deploy application functionality in three or more tiers of compute infrastructure to optimize bandwidth, latency, cost, user experience and privacy for their users and their own operations. However, the diversity of edge and…
research Paper / Jul 2021 / 5G, Wireless communication, Machine learning/ Deep learning /Artificial Intelligence
Building upon on a digital transformation, Industry 4.0 (I4.0) aims to build the factories of the future, which feature additional flexibility, increasingly connected infrastructures and automated processes. 5G is playing a paramount role in this transformation, as it can offer high bandwidth, reliable and low latency wireless connectivity to meet the stringent …
The future of manufacturing industry highly depends on digital systems that convert existing production and monitoring systems to autonomous systems with stringent requirements in terms of availability, reliability, security, low latency, positioning with high-accuracy and so on. In order to provide such requirements, a private 5G network deployment is considere…
research Paper / May 2024 / Machine learning/ Deep learning /Artificial Intelligence, Security, Wireless communication
Deep learning based automatic modulation classification (AMC) has received significant attention owing to its potential applications in both military and civilian use cases. Recently, data-driven subsampling techniques have been utilized to overcome the challenges associated with computational complexity and training time for AMC. Beyond these direct advantages …
Intelligent radio surface (IRS) is a programmable structure that can be used to control the propagation of electromagnetic waves by changing the electric and magnetic properties of the surface. By placing these surfaces in an environment, the properties of radio channels can be, at least partially, controlled. This opens new possibilities to improve the performa…
In this work, we propose a novel deep learning-based framework for the adaptive configuration of DMRS used for MIMO CCE. Specifically, a neural network architecture is proposed at the terminal side which based on statistical learning indicates to the network the preferred configuration of DMRS in time, frequency, and code domains for use in subsequent slots. The…
"5G new radio (NR) sidelink (SL) is envisioned as a key enabler of high speed, low latency applications like automated driving. To meet the high data rate requirements for such applications, SL support at mmWave and sub-THz frequencies with large bandwidths will be essential. Several enhancements and optimizations will be needed to the latest version of NR SL, w…
In this presentation we’ll talk about the development of Beam Management and describe the system attributes related to performing the initial beam establishment. We will also review the supported 3GPP requirements and limitations of the current implementation. We’ll then share some details about the beam management implementation done on the gNB and UE and highl…
"In a free space optics (FSO) based drone assisted mobile network, a drone mounted base station (DBS) can be rapidly deployed over a place of interest to relay traffic between mobile users and a macro base station (MBS), and FSO is applied as the fronthaul solution between the DBS and the MBS to provide a high link capacity at a long distance. However, due to in…
research Paper / Apr 2024 / Wireless communication, Machine learning/ Deep learning /Artificial Intelligence, Radio frequency
The challenging propagation environment, combined with the hardware limitations of mmWave systems, gives rise to the need for accurate initial access beam alignment strategies with low latency and high achievable beamforming gain. Much of the recent work in this area either focuses on onesided beam alignment, or, joint beam alignment methods where both sides of …
Next generation Terabit per second (Tbps) wireless communication systems aim for sub-THz and THz bands where noise and hardware impairments are known to be dominantly non-linear and lack accurate closed form analytical models. The physical layer (PHY) blocks designed under linearity and Gaussian noise assumptions will fall short of satisfying the requirements of…
research Paper / May 2024 / Wireless communication, Machine learning/ Deep learning /Artificial Intelligence
The futures of AI and wireless networks are intricately intertwined. On the one hand, AI is a potent tool for automating the deployment and management of wireless networks. The next-generation wireless network, on the other hand, can support the training and deployment of AI models by providing an ocean of multi-modal data and a distributed computation resource.…
research Paper / May 2024 / Wireless communication, Machine learning/ Deep learning /Artificial Intelligence
While advances in Machine Learning have revolutionized certain areas (computer vision, robotics, natural language processing, etc.), the application in wireless communications has been less dramatic. One limiting factor is the (potentially) high computational complexity. Yet another important inhibitor is the lack of realistic datasets. To fully understand the p…
"Industrial applications and Extended Reality vertical sectors have expressed the need for dedicated Quality of Service considerations by 3GPP to support time-sensitive and bursty high throughput communications, respectively. Consequently, 3GPP enabled support for Time-Sensitive Networking in Release 17 and started specifying the concept around Packet Data Unit …
Reconfigurable intelligent surfaces (RIS) have the ability to steer the electromagnetic waves to a desired direction. This enables the improvement of the wireless link performance by allowing the illumination of receivers otherwise shadowed by buildings or hills. In this paper, a link level simulations are used to study the performance improvement offered by a R…
research Paper / Dec 2020 / Network and Communications, 5G, Wireless communication, Computing and Optimization
For Internet operators, on-line service providers and end-users, representative operational measurements are crucial to monitor and diagnose the performance of networks and on-line services. While numerous approaches have been proposed to measure performance, only a few works fully adopt an end-user perspective by taking measurements from within web browsers. In…
research Paper / May 2024 / Wireless communication, Machine learning/ Deep learning /Artificial Intelligence, 5G, 6G
"Compressed beamforming algorithm is used in the current Wi-Fi standard to reduce the beamforming feedback overhead (BFO). However, with each new amendment of the standard the number of supported antennas in Wi-Fi devices increases, leading to increased BFO and hampering the throughput despite using compressed beamforming. In this paper, a novel index-based meth…
5G promises to bring back value to the network operator and not only serve as a data pipe solution anymore. Operators have started to adopt cloud-native paradigms for the deployment of the 5G core architecture. With it goes the introduction of the service-based architecture as a key design pattern for realizing future control, and ultimately user planes of mobil…
research Paper / Jul 2021 / Machine learning/ Deep learning /Artificial Intelligence, Network and Communications, Wireless communication, IoT
Low-power wide-area networks (LPWANs) bring exceptional networking capabilities that will enable the massive roll-out of the Internet of Things (IoT). Among these capabilities are the support of ultra-low power consumption devices – up to 10 years of battery life – and connectivity up to tens of kilometers. The Long Range (LoRa) protocol has captured the researc…