
Haythem Bany SalamehAl Ain University · Faculty of Engineering
Haythem Bany Salameh
Professor, SMIEEE
About
204
Publications
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Introduction
Haythem Bany Salameh received the Ph.D. degree in electrical and computer engineering from the University of Arizona, Tucson (USA), in 2009. He is currently a Professor of telecommunication engineering at Yarmouk University (YU), Irbid, Jordan. He directed the Academic Entrepreneurship Center of Excellence at YU. His current research interests are in wireless networking with emphasis on dynamic spectrum access, radio resource management, and distributed protocol design.
Additional affiliations
March 2018 - present
January 2014 - March 2018
August 2009 - January 2014
Education
August 2005 - April 2009
Publications
Publications (204)
The expected widespread usage of Internet-of-Things (IoT) devices and the associated diversity of applications will place extra pressure on network resources including bandwidth availability. In networking within IoT, spectrum scarcity requires the consideration of the adaptive cognitive radio (CR) technology to achieve interference-free and on-dem...
This paper investigates the problem of designing an efficient spectrum allocation mechanism in heterogeneous multi-cell coordinated cognitive radio networks (CRNs) under time-varying channel availabilities and traffic demands across the different cells. The problem is modeled as a utility proportional fair maximization problem subject to traffic de...
The adjacent channel interference (ACI) resulting from imperfect filtering can severely degrade the performance of any wireless communication system. Despite this fact, most of previously proposed medium access control (MAC) protocols for cognitive radio networks (CRNs) were designed while ignoring the effects of ACI (assuming ideal filtering). The...
Cognitive radio (CR) networks are expected to offer huge bandwidth to wireless users through dynamic spectrum access techniques. To realize this new network paradigm, effective distributed coordination schemes to exchange control information without assuming the availability of a pre-specified common control channel (CCC) are needed. In this paper,...
Flying Ad‐Hoc Network (FANET) is a promising ad hoc networking paradigm that can offer new added value services in military and civilian applications. Typically, it incorporates a group of Unmanned Aerial Vehicles (UAVs), known as drones that collaborate and cooperate to accomplish several missions without human intervention. However, UAV communica...
This paper considers the downlink transmission of an intelligent reflecting surface (IRS)-aided multi-carrier (MC) non-orthogonal multiple access (NOMA) system, referred to as the IRS-aided MC-NOMA system. Due to the limitations on the availability of the IRS, a limited number of channels can be served with the support of the available IRS units. T...
The demand for intelligent networks and diversified computing applications is driving the need for 6G communication networks. Additionally, the innovative 6G applications will impose stringent requirements that will be difficult to satisfy with fixed, pre-deployed infrastructures. The characteristics of unmanned aerial vehicles (UAVs) make them an...
The recent developments in unmanned aerial vehicles (UAVs) and indoor hybrid LiFi–WiFi networks (HLWNs) present a significant opportunity for creating low-cost, power-efficient, reliable, flexible, and ad-hoc HLWN-enabled indoor flying networks (IFNs). However, to efficiently operate and practically realize indoor HLWN, a unified physical layer (Un...
Cognitive radio (CR) and in-band full-duplex (IBFD) are two technologies that are essential in addressing major challenges arising in Internet of Things (IoT). The former addresses frequency spectrum shortage, while the latter aims at satisfying the high data rate requirements. In this paper, we address path selection in multi-hop IoT networks equi...
Wireless sensor networks (WSN) have been recently deployed to support various Internet-of-Things (IoT) applications, including sensing in urban environments. Accordingly , several research efforts have been conducted to support the unprecedented massive connectivity requirements , where a massive number of urban sensors are expected to be connected...
The emergence of new communication systems like 5 G and 6 G has led to increasing demand for various indoor communication and sensing services. However, effectively implementing indoor communication and sensing systems in crowded environments poses new design challenges, particularly in terms of obstacle localization (sensing) and identification. V...
Emerging technologies are envisioned to advance the accounting profession to a new level. The emergence of big data, artificial intelligence, and robotic process automation has profoundly impacted traditional accounting and auditor tasks and procedures. This chapter focuses on a new technology that has recently emerged in business operations: Unman...
This article introduces a new method to improve the dependability of millimeter-wave (mmWave) and terahertz (THz) network services in dynamic outdoor environments. In these settings, line-of-sight (LoS) connections are easily interrupted by moving obstacles like humans and vehicles. The proposed approach, coined as Radar-aided Dynamic blockage Reco...
Free-space optical (FSO) communication is one of
the most cost-effective wireless solutions that can fulfill the requirement of high quality of service (QoS) to the user in the next generation wireless networks, i.e., beyond fifth-generation (B5G) and sixth-generation (6G). However, one of the major problems
associated with the FSO-based communicat...
Intelligent reflecting surface (IRS) has been recently integrated with emerging communication technologies to meet the demanding requirements of communication systems. This paper investigates the deployment of multi-IRS units in a hybrid time-domain multiple access (TDMA) and non-orthogonal multiple access (NOMA) system, referred to as a multi-IRS-...
The sixth-generation (6G) communication technology is expected to enable a fully-connected world with enhanced wireless connectivity, accessibility, reliability, and performance. 6G systems will be critical in addressing the massive-connectivity requirements for Internet-of-Things (IoT) networks. Cognitive radio (CR) technology is considered a prom...
Cognitive radio (CR) technology is crucial for enabling dynamic spectrum management. CR allows opportunistic spectrum sharing with licensed primary radio (PR) users by allowing the so-called secondary users to dynamically access the under-utilized parts of the frequency bands that are allocated/licensed to the PR networks (PRNs). The CR system pays...
Employing the cognitive radio (CR) technology in IoT networks, referred to as CR-IoT, is considered a promising solution for providing the spectrum opportunities needed for massive IoT deployments. Jamming attacks can significantly increase energy consumption in CR-IoT networks by increasing the number of dropped packets, and hence the number of ne...
The non-orthogonal multiple access strategies have shown promise to boost fifth generation and sixth generation wireless networks' spectral efficiency and enable large-scale network access. Generally, user-grouping, power-management, and decoding-order are essential components in ensuring optimal system performance. Hence, the user-grouping and pow...
This paper develops a cooperative federated reinforcement learning (RL) strategy that enables two unmanned aerial vehicles (UAVs) to cooperate in learning and predicting the movements of an intelligent deceptive target in a given search area. The proposed strategy allows the UAVs to autonomously cooperate, through information exchange of the gained...
The integration of cognitive radio (CR) technology and non-orthogonal multiple access (NOMA) techniques, referred to as CR-based NOMA system, has been recently configured as a promising solution to meet the requirements of beyond fifth generation (B5G) networks, especially those related to Internet-of-Things (IoT) applications. With such integratio...
In future multi-hop wireless networks like 5G and B5G, efficient large-scale video sharing and data dissemination are expected to rely heavily on multicast routing and Cognitive Radio (CR) technology. While multicast routing is efficient when the network always has access to the spectrum, the dynamic nature of Primary User (PU) activities, heteroge...
Dynamic Spectrum Access (DSA) technology in wireless Cognitive Radio Networks (CRNs) provides opportunistic access for unlicensed users, also known as Secondary Users (SUs), which can offer huge bandwidth to enable future wireless communication. Mainly, this technology aims to improve the end-to-end throughput by allowing SUs to exploit the license...
The practical deployment of VLC (visible light communication)-enabled flying networks could be accelerated via the simultaneous services offered by mixed carrier communication (MCC). The MCC is a unified physical layer waveform that uniquely integrates various communication streams for data/control and signaling to support localization and dimming....
Wireless communication demands rapidly increase due to the increase of Internet of Things applications, which leads researchers to build secondary networks that exploit the spectrum holes of primary networks. Cognitive radio (CR) technology is adopted in ad-hoc networks (AHNs) rather than infrastructure-based networks because AHNs have lower cost,...
In this article, we derive a closed-form expression for the probability of successful packet transmission (PSPT) over Rayleigh fading channels in cognitive radio networks (CRNs). The derived expression is novel, as it does not require prior channel state information. This is achieved by employing a probabilistic model for the packet transmission ti...
The era of the Internet-of-things (IoT) comes with tremendous burdens on pre-existing network infrastructures and protocols due to spectrum scarcity and reliability concerns. Cognitive radio (CR) technology is proposed for IoT applications to alleviate the spectrum scarcity paradigm. In CR-IoT-based networks, the IoT devices/nodes share the spectru...
In recent times, Cognitive Radio Networks (CRNS) have been broadly investigated in light of the unceasingly growing demands of the Internet of Things (IoT) applications, paving the path to equipping IoT objects with Cognitive Radio (CR) technology. Thus, the implementation of these two technologies in unison has been attracting research interests....
Internet-of-Things (IoT)-based cyber-physical systems are increasingly being adopted because of the recent technological advancements in sensor technology, edge computing, machine learning, and big data. Integrating machine learning into designing IoT-based cyber-physical systems is essential. However, it is considered a challenging problem. This s...
The integration of cognitive radio (CR) into power domain non-orthogonal multiple access (NOMA) wireless systems has been envisioned as a promising paradigm for supporting massive energy-efficient beyond fifth-generation (B5G)-based IoT connectivity. This paper presents a novel two-dimensional orthogonal multiple access (OMA)-NOMA CR-based power mi...
Non-orthogonal multiple access (NOMA) along with cognitive radio (CR) have been recently configured as potential solutions to fulfill the extraordinary demands of the fifth generation (5G) and beyond (B5G) networks and support the Internet of Thing (IoT) applications. Multiple users can be served within the same orthogonal domains in NOMA via power...
The recent development of the Internet of Things (IoT) devices offers an intelligent concept for integrating massive number of interconnected wireless devices. However, supporting such massive number of IoT connections (hundreds of billions) requires an efficient and dynamic spectrum access strategy. Accordingly, the integration of non‐orthogonal m...
Software-Defined Networking (SDN) is a modern network approach that replaces the conventional network architecture with a flexible architecture by separating the control plane from the data plane. SDN simplifies network management and monitoring through logically centralized intelligence, programmability, and abstraction. SDN architectures are vuln...
In this paper, we consider the problem of resource allocation within Beyond 5G (B5G) and the envisioned 6G wireless networks with Cognitive Radio (CR) capability. CR technology allows opportunistic and dynamic access to the unused licensed spectrum bands. Unlike the conventional orthogonal frequency division multiple access (OFDMA) schemes that imp...
Software-defined Cognitive radio (CR) networking is considered a promising communication paradigm that can deliver huge spectrum opportunities for enabling massive deployment for wireless Internet-of-Things (IoT) applications and services. An important challenge in this domain is how to provide effective energy-efficient distributed spectrum coordi...
Integrating the Full-Duplex (FD) communication technology in multi-hop Cognitive Radio Networks (CRNs) can significantly enhance routing decisions such that overall network performance is improved. Unfortunately, when employing the FD technology in multi-hop routing, the channel assignment becomes very challenging due to the possible simultaneous t...
There are differences between routing in traditional and in Cognitive Radio Networks (CRNs). The availability of channels, periodic spectrum sensing, jammers activity, are some of these differences, etc. CRNs may contain a large number of Internet of Things (IoT) devices, hence, modeling such networks with a flat graph model generates a huge graph...
The IEEE 802.11 MAC protocols have been implemented in many wireless ad hoc and infrastructure networks. Most of the IEEE 802.11-based networks adopt a one-hop transmission mechanism (the source and destination communicate using a direct link). While this strategy is simple, it degrades network performance as it limits the number of data transmissi...
Autonomous security unmanned aerial vehicles (UAVs) have recently gained popularity as an effective solution for accomplishing target/intrusion detection and tracking tasks with little or no human intervention. In this context, we aim at developing an autonomous UAV system for detecting a dynamic and uncertain intrusion within an area, in which the...
The proliferation of unmanned aerial vehicles (UAV), i.e., drones, in communication systems has recently attracted both industry and academia. This is mainly due to their flexible capabilities and features, which can support a wide range of communication applications. More specifically, drones can offer better coverage, better capacity, and a many-...
In this paper, the drone base-station (DBS) dispatching problem in a multi-cell B5G/6G network is investigated. The main objective is to achieve the highest system profit by serving the largest possible number of users with the least possible cost while considering the uncertain time-dependent fluctuated user’s (service) demand in the different cel...
The integration of simultaneous wireless information and power transfer (SWIPT) in multi-carrier non-orthogonal multiple access (NOMA) systems has been recently investigated as a potential paradigm to improve the lifespan of energy-constrained internet-of-things networks. In this letter, we develop a fairness-aware design for a multi-carrier NOMA S...
The interplay between the non-orthogonal multiple access (NOMA) and the opportunistic cognitive radio (CR)-based orthogonal frequency multiple access (OFDMA) has been recently realized as a promising paradigm to support the unprecedented massive connectivity demands of future beyond fifth-generation (B5G) wireless communication systems. In such sys...
In this paper, we investigate the idea of drone-assisted multiple antenna ambient backscatter communication(AmBC) based internet of things (IoT) sensor network (SN). We consider a scenario where a drone is used to collect the data from distributed multiple antenna SNs at which the drone is working as an ambient power emitter and a reader. The senso...
Cognitive radio (CR) technology is proposed to provide huge spectrum opportunities to enable a large-scale deployment of Internet-of-Things (IoT) sensing-based applications. An important challenge in this domain is how to design efficient channel assignment algorithms for delay-sensitive CRIoT-based sensor networks while being resilient to jamming...
Recently, several multiple access (MA) have been proposed to support the massive connectivity of the cognitive radio (CR) internet-of-things IoT-based networks. Among these MA techniques, the combination of spatial domain multiple access (SDMA) and non-orthogonal multiple access (NOMA), namely SDMA-NOMA, shows a potential capability to meet the unp...
Cognitive radio (CR) is a new intelligent wireless technology that aims at improving spectrum utilization by allowing opportunistic access to the underutilized licensed spectrum. Wireless CR operating environment is typically characterized by its unreliable and unpredictable channel conditions and time availability due to fading and the randomness...
This paper proposes an adaptive routing and spectrum assignment protocol for heterogeneous Full-duplex (FD) and half-duplex (HD) cognitive radio (CR) networks. The key design goal of the developed protocol is to select a path between a source-destination pair, and to optimally assign channels to each hop along the selected path. One main feature of...
Multi-carrier non-orthogonal multiple access (MC-NOMA) system has been considered as a promising candidate in future wireless networks. In a MC-NOMA system, the available bandwidth of transmission is divided into several sub-bands, such that multiple users in each sub-band are served based on power-domain NOMA. Unlike the equal sub-band allocations...
Wireless sensors are considered the key elements in enabling efficient Internet of Things (IoT) networking and services. One of the key objectives in designing a WSN is increasing network lifetime by reducing the overall network energy consumption. To achieve this, several techniques have been proposed to extend the network lifetime, such as cluste...
Cognitive radio (CR) is a key technology that can enable opportunistic spectrum access, in which it enables secondary users (SUs) to dynamically exploit the under-utilized channels in the licensed spectrum, owned by primary radio networks (PRNs), referred to as dominant firms. Such sharing is subject to interference, SU QoS and cost constraints, in...
The integration between orthogonal frequency division multiple access (OFDMA), non-orthogonal multiple access (NOMA), and cognitive radio (CR) technology has been recently configured as promising candidate to support the massive high-speed connectivity requirements of beyond fifth generation (B5G) systems. This combination is referred to in the lit...
Cognitive radio (CR) technology has been demonstrated as one of the key technologies that can provide the needed spectrum bands for supporting the emerging spectrum-hungry multimedia applications and services in next-generation wireless networks. Multicast routing technique plays a significant role in most of wireless networks that require multimed...
Internet-of-Things (IoT) aims to connect intelligent things to the internet, enable thing-to-everything communication, and sustainability sensing and control. However, the exponential increase of connected IoT devices is resulting in tremendous demand on the limited spectrum. Cognitive radio (CR) technology is envisioned to be one of the main enabl...