Journal Information
IEEE Open Journal of the Communications Society (OJ-COMS)
https://www.comsoc.org/publications/journals/ieee-ojcoms
Publisher:
IEEE
ISSN:
2644-125X
Viewed:
8568
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Call For Papers
The IEEE Open Journal of the Communications Society (OJ-COMS) is an open access, all-electronic journal that publishes original high-quality manuscripts on advances in the state of the art of telecommunications systems and networks. Submissions reporting new theoretical findings (including novel methods, concepts, and studies) and practical contributions (including experiments and development of prototypes) are welcome. Additionally, review and survey articles are considered; however, tutorials are not included.

The IEEE Open Journal of the Communications Society covers science, technology, applications and standards for information organization, collection and transfer using electronic, optical and wireless channels and networks, including but not limited to: Systems and network architecture, control and management; Protocols, software and middleware; Quality of service, reliability and security; Modulation, detection, coding, and signaling; Switching and routing; Mobile and portable communications; Terminals and other end-user devices; Networks for content distribution and distributed computing; and Communications-based distributed resources control.

Hallmarks of the IEEE Open Journal of the Communications Society (OJ-COMS) are a rapid peer review process and open access of all published papers.  The broad scope of the journal comprises, but is not limited to:

Big Data and Machine Learning for Communications
Cloud Computing, Edge Computing, and Internet of Things
Communications and Information Security
Communications Theory and Systems
Green, Cognitive, and Intelligent Communications and Networks
Multimedia Communications
Network and Service Management

Network Science and Economics
Optical Communications and Optical Networks
Resource Management and Multiple Access
Signal Processing for Communications
Underwater Communications and Networks
Wired Communications and Networks
Wireless Communications and Networks
Last updated by Dou Sun in 2020-05-07
Special Issues
Special Issue on Communication-inspired Artificial Intelligence in Beyond 5G Networks
Submission Date: 2022-09-30

The IEEE Open Journal of Communications Society (OJ-COMS) invites manuscript submissions in the area of Communication-inspired Artificial Intelligence (AI) for Beyond 5G (B5G) Networks. Future communication systems would need a conceptual change in terms of how they will be interconnected, structured, configured, optimized, and dynamically retrieved in response to their operational conditions. B5G wireless technologies are projected to boost maximum throughput significantly, offer ultra-low delay, enable significant hardware connection, and optimize network energy consumption. Moreover, B5G is projected to evolve into a decentralized innovative communication channel, detection, and location platform. In comparison, current approaches like massive multiple-input multiple-output (MIMO) and tiny clusters enable such a requirement but highly depend on unpredictable wireless surroundings’ strength. Considerable unique inputs and breakthroughs in wireless network administration are needed to deploy wireless networks effectively. Communication inspired artificial intelligence is an attempt for new intelligent communication network architecture. The core idea is to use a narrow-band small cell to build a cluster network, which mainly aims at realizing the MIMO functionality and enabling future networks to become more flexible, seamless, and versatile. The algorithms mentioned above may enable a future generation of entirely autonomous network infrastructure. Moreover, unique complexities have emerged, like determining when and how to utilize traditional techniques algorithms, AI-enabled models, or perhaps even blended frameworks; designing communication-inspired AI models tailored to portable management challenges, choosing how to implement them in edge computing, as well as how to organize one ‘s life span from information gathering to decision support. Recently, academics have started examining the architecture of 5G-and-beyond platforms and the influence of the fog computing and processing strategy anticipated for 5G on the future of radio communication systems. Further, communication-inspired AI empowers edge computing, smart information and network resource sharing, automatic big data processing, cognitive baseband processing architecture, distributed cloud computing and massive micro-clouds. The objective is to find new innovative tools that combine data from network simulation and measurements, AI machine-learning and simulation to create a very accurate understanding of how a network will perform in real conditions. Research in this stream is used to develop new technologies that may one day enable communication in harsh environments or new spectrum resources in the terahertz frequency range. Compared to the promises made a generation later, the current 5G implementation demonstrates inherent shortcomings. These constraints motivate researchers to concentrate their efforts on creating novel, creative, and valuable technologies despite retaining the goal of 5G beyond 6G communication. Both 5G and 6G networks may be emulated utilizing cloud-based technologies, culminating in increased efficiency and precision. Furthermore, towards advancement of big data analytics competences and communication-inspired AI framework, communications infrastructure issues may be evaluated and proper solutions found. These technical breakthroughs would provide significant potential for study in various domains, including reconfigurable wireless connections and the improvement of wireless transmission rate, precision, and efficiency using AI, machine learning, big data analytics, and cloud-based services. Contemporary wireless interactions are based on the increasingly sophisticated topology that frequently involves several consumers, changing signal frequencies, and cooperating or competing nodes. Data transmission would get more complicated as the infrastructure grows in complexity. Recent emphasis has been focused mostly on implications of communication-inspired AI capabilities in wireless technology, and it is generally established that pattern recognition has contributed significantly to both disciplines. This Special Issue aims to bring together a group of world-class experts to discuss the scientific and practical challenges of the joint design and deployment of novel AI/machine learning algorithms with the next-generation communication systems. We welcome all researchers, both academic and industrial, who are interested in developing the Communication-Inspired AI for Beyond 5G Networks. The topics of interest for the Special Issue include, but are not limited to the following: - AI-enabled portable MIMO framework in B5G network - Advanced congestion control using NFV, network slicing, and SDN in B5G network - Cognitive-inspired dynamic spectrum access for B5G network using AI - Communication-inspired AI-enabled resource management and allocation algorithm for B5G network - Communication-inspired AI for big data analytics in B5G network - Decentralized edge computing for B5G network using communication-inspired AI - Heterogeneous system modelling for B5G network using communication-inspired AI - Novel multiple access methods and waveform design for B5G network using communication-inspired AI - Quantum communications, networks, and architecture for B5G network using communication-inspired AI - Zero-touch and autonomous network for B5G using communication-inspired AI Lead Guest Editor Anand Paul, Kyungpook National University, South Korea Guest Editors Naveen Chilamkurti, La Trobe University, Melbourne, Australia Awais Ahmad, Università Degli Studi di Milano, Milan, Italy Jhing-Fa Wang, National Cheng Kung University, Taiwan For inquiries regarding this special Issue, please contact the Lead Guest Editor.
Last updated by Dou Sun in 2022-05-22
Special Issue on Augmenting UAV Capabilities in Industry 4.0
Submission Date: 2022-10-30

The IEEE Open Journal of Communications Society (OJ-COMS) invites manuscript submissions in the area of Augmenting UAV Capabilities in Industry 4.0 Industry 4.0 is a technological paradigm shift that has paved an express way leading to revolutionizing the functionality and operability of next-generation smart factories and business houses; thus, extending the horizons of wild imaginations capable of portraying futuristic technological visions. As ubiquitous as unmanned aerial vehicles (UAVs) (a.k.a. drones) have become, they constitute today such a promising technology whose utilization spans numerous market-centred applications including but not limited to inventory management, logistics, inspections, surveillance, data communication and connectivity enhancement, among others. Hence, there is a huge potential for research and development revolving around UAV-assisted-and-empowered systems that may present ample solutions and benefits for Industry 4.0 applications and practical real-world use cases. A thorough survey of the literature reveals the existence of insufficient work conducted in this direction. Indeed, a preliminary compilation of open problems/challenges and research directions motivates venturing into the realm of the real-world coupling UAV with Industry 4.0; hence, giving birth to a flurry of revolutionary novel digital services and applications. A selection of major persisting challenges comprises limited UAV onboard processing power, short-term UAV battery power, vulnerability to cyber physical attacks, UAV trajectory optimization, data connectivity reinforcement using UAVs and many other important problems that need to be resolved at both research and industrial levels, for the world to start witnessing the proliferation of full-fledged UAV-empowered Industry 4.0 application scenarios. To this end, it becomes quite clear that this is a notably momentous topic with unarguable timeliness both supported by: i) the recent focal shift of emerging technology trends, ii) the continuously growing interests in civil and military (e.g., defence, tactical ops, etc.) UAV-assisted applications and iii) the tremendous efforts invested by governments around the globe to draft regulations and policies for UAV utilization for various applications within their respective regions. Recently, there was a drone technology training to boost entrepreneurship and Industry 4.0 in the European Union (EU) region funded by the European Commission through the Erasmus+ programme. Also, many multinational retail companies (e.g., Amazon, Walmart, etc.) are actively exploring the integration of UAVs in the logistics market. In addition, many transportation start-ups and companies (e.g., UBER) are in the process of employing advanced UAVs as flying taxis. UAVs constitute an integral part of Industry 4.0’s underlying architecture and systematic automation framework for smart factories and intelligent manufacturing facilities, and, in view of their continuously emerging novel deployment scenarios, the role of these UAVs is expected to further expand in the near future. For instance, existing studies reveal the crucial role that UAVs play in enhancing the connectivity of next-generation wireless networks (i.e., Beyond 5G) and extend their coverage and, thus, their ability to provision essential wireless services to far away and/or shadowed devices. In this context, UAVs present themselves as an indispensable mobile and possibly self-organizing backbone of the modern digital world. There are also many industries like chemical, agricultural, nuclear, oil and gas, among others, which involve dangerous tasks that, typically, used to be carried out by humans. Today, with the help of UAVs, a large number of such tasks have already been automated without any necessity for human intervention and/or supervision; thus, protecting people from various life-threatening risks. Furthermore, given their high mobility, their agility and high speeds, UAVs have found their way in supporting IoT and edge-enabled infrastructure. They are already used extensively for surveillance and geographical mapping purposes. In light of all of the above, this Special Issue is intended to further further stimulate both the industrial and academic momentum coupled with governmental incentives and support from all around the globe, to promote this domain to its next maturity level and catalyse additional real-world deployments having notable positive impact on the worldwide economy. It aims at bringing together leading research experts from both industry and academia with the objective of presenting novel and original contributions, methodologies, applications, standards and protocols for augmenting the capabilities of UAVs in Industry 4.0. Topics of interest for this Special Issue include but are not limited to: - Automation of industrial tasks via drones - Drones in safety and security management of industries - Drone based IoT networks - Drones in 5G cellular networks - Drones and intelligent delivery systems - Drones based mobile edge computing platforms - Drones and blockchain based applications for Industry 4.0 - Drones and AI based applications for Industry 4.0 - Drone based surveillance and data acquisition for analytics purposes - Securing drones against cyber physical attacks
Last updated by Dou Sun in 2022-06-19
Special Issue on Rate-Splitting and Multiple Access Techniques for 6G
Submission Date: 2022-12-01

Multiple access techniques in 6Gare envisioned to efficiently cope with the high throughput, heterogeneity of QoS, ultra-reliability, low latency, and massive connectivity requirements of future multi-antenna wireless networks. Recently, rate-splitting multiple access (RSMA) based on rate-splitting (RS) is recognized as a more general and powerful transmission framework for the design and optimization of non-orthogonal transmission, multiple access, and interference management strategies. By splitting user messages into common and private parts at the transmitter, and partially decoding interference and treating remaining part of the interference as noise, RSMA enables to softly bridge and therefore reconcile the two extreme interference management strategies of treating interference as noise (as commonly used in 4G/5G, multi-user MIMO, coordinated multipoint-CoMP, massive MIMO, millimetre wave MIMO) and fully decoding interference (as in non-orthogonal multiple access-NOMA). Recent research progress has shown that RSMA provides significant room for spectral efficiency, energy efficiency, coverage, user fairness, reliability, QoS enhancements in a wide range of network loads and user deployments, robustness against imperfect channel state information at the transmitter (CSIT) and user mobility, as well as feedback overhead, complexity, and latency reduction over conventional strategies used in 5G. The appealing capabilities make RSMA an excellent candidate for 6G. This Special Issue focuses on the theory, design, optimization and applications of RSMA and any other potential multiple access (MA) techniques in many different scenarios relevant to wireless communication and signal processing for 6G. It aims at bringing together researchers, industry practitioners, and individuals working on the related areas to share their new ideas, latest findings, and state-of-the-art results. Original technical contributions are solicited in the relevant areas including, but not limited to, the following: - Rate-splitting multiple access to generalize SDMA and NOMA - (RS)MA to achieve the fundamental limits of wireless networks - (RS)MA for multi-user/multi-cell multi-antenna networks such as MU-MIMO, massive MIMO, networked MIMO - (RS)MA-based robust interference management - (RS)MA to generalize existing multiple access strategies - Physical layer design of (RS)MA - Cross-layer design, optimization and performance analysis of (RS)MA - Coding and modulation for (RS)MA - Physical layer security for (RS)MA - (RS)MA for millimetre wave and terahertz communications - (RS)MA in cloud-enabled platforms such as cloud-radio access networks (C-RAN), fog-radio access networks (F-RAN) and wireless caching - (RS)MA in coordinated multiple point (CoMP), cooperative communications, relaying - (RS)MA in cognitive radio - (RS)MA in intelligent reflecting surfaces - (RS)MA in vehicle-to-everything (V2X), unmanned aerial vehicle (UAV) and satellite networks - (RS)MA in integrated space–air–ground networks - (RS)MA in integrated communications and sensing - (RS)MA in wireless powered communications - (RS)MA in beyond 5G (B5G) services such as enhanced eMBB, enhanced URLLC, enhanced MTC, massive MTC - (RS)MA in Internet-of-Things (IoT) networks - (RS)MA in artificial intelligence-empowered wireless communication networks - Implementation and standardization of (RS)MA
Last updated by Dou Sun in 2022-09-11
Special Issue on Rate-Splitting and Multiple Access Techniques for 6G
Submission Date: 2022-12-01

Multiple access techniques in 6Gare envisioned to efficiently cope with the high throughput, heterogeneity of QoS, ultra-reliability, low latency, and massive connectivity requirements of future multi-antenna wireless networks. Recently, rate-splitting multiple access (RSMA) based on rate-splitting (RS) is recognized as a more general and powerful transmission framework for the design and optimization of non-orthogonal transmission, multiple access, and interference management strategies. By splitting user messages into common and private parts at the transmitter, and partially decoding interference and treating remaining part of the interference as noise, RSMA enables to softly bridge and therefore reconcile the two extreme interference management strategies of treating interference as noise (as commonly used in 4G/5G, multi-user MIMO, coordinated multipoint-CoMP, massive MIMO, millimetre wave MIMO) and fully decoding interference (as in non-orthogonal multiple access-NOMA). Recent research progress has shown that RSMA provides significant room for spectral efficiency, energy efficiency, coverage, user fairness, reliability, QoS enhancements in a wide range of network loads and user deployments, robustness against imperfect channel state information at the transmitter (CSIT) and user mobility, as well as feedback overhead, complexity, and latency reduction over conventional strategies used in 5G. The appealing capabilities make RSMA an excellent candidate for 6G. This Special Issue focuses on the theory, design, optimization and applications of RSMA and any other potential multiple access (MA) techniques in many different scenarios relevant to wireless communication and signal processing for 6G. It aims at bringing together researchers, industry practitioners, and individuals working on the related areas to share their new ideas, latest findings, and state-of-the-art results. Original technical contributions are solicited in the relevant areas including, but not limited to, the following: - Rate-splitting multiple access to generalize SDMA and NOMA - (RS)MA to achieve the fundamental limits of wireless networks - (RS)MA for multi-user/multi-cell multi-antenna networks such as MU-MIMO, massive MIMO, networked MIMO - (RS)MA-based robust interference management - (RS)MA to generalize existing multiple access strategies - Physical layer design of (RS)MA - Cross-layer design, optimization and performance analysis of (RS)MA - Coding and modulation for (RS)MA - Physical layer security for (RS)MA - (RS)MA for millimetre wave and terahertz communications - (RS)MA in cloud-enabled platforms such as cloud-radio access networks (C-RAN), fog-radio access networks (F-RAN) and wireless caching - (RS)MA in coordinated multiple point (CoMP), cooperative communications, relaying - (RS)MA in cognitive radio - (RS)MA in intelligent reflecting surfaces - (RS)MA in vehicle-to-everything (V2X), unmanned aerial vehicle (UAV) and satellite networks - (RS)MA in integrated space–air–ground networks - (RS)MA in integrated communications and sensing - (RS)MA in wireless powered communications - (RS)MA in beyond 5G (B5G) services such as enhanced eMBB, enhanced URLLC, enhanced MTC, massive MTC - (RS)MA in Internet-of-Things (IoT) networks - (RS)MA in artificial intelligence-empowered wireless communication networks - Implementation and standardization of (RS)MA
Last updated by Dou Sun in 2022-09-11
Special Issue on Intelligent Communication and Perceptual of Smart City Towards 6G: Emerging Trends and Challenges
Submission Date: 2022-12-31

The IEEE Open Journal of Communications Society (OJ-COMS) invites manuscript submissions in the area of Intelligent Communication and Perceptual of Smart City Towards 6G: Emerging Trends and Challenges. The sixth generation (6G) wireless communication networks are expected to bring networking technologies with higher throughput, massive connections, and pervasive coverage in highly-dynamic environments to fulfill diverse application requirements. It is believed that artificial intelligence will be a central driver in the evolution towards 6G, and that 6G will enable a new generation of Internet-of-Intelligent-Things (IoIT) applications that must simultaneously deliver high reliability, low latency, and high data rates for heterogeneous network, such as future intelligent transport, smart grid, smart infrastructure, smart health, smart agriculture, and smart recreation in respect of smart cities. How the 6G communication networks should look like to support the emerging IoIT services, which will also require an end-to-end co-design of communication, perceptual, and computing functionalities, has been largely overlooked so far. To solve this new breed of IoIT services, unique challenges must be addressed ranging from characterizing the fundamental rate-reliability-latency tradeoffs governing their performance to exploiting frequencies beyond millimeter-wave and transforming wireless systems into a self-sustaining, intelligent network fabric which flexibly provisions and orchestrates communication-perceptual-computing resources tailored to the requisite Internet-of-Everything services. Motivated by these trends, this Special Issue targets to disseminate the latest theoretical and experimental works in the domain of massive communication and intelligent perceptual technologies towards enabling massively connected, fully intelligent, and sustainable green 6G networks. The main topics of interest include, but not limited to the following: - Energy-efficient machine learning algorithms for smart cities - Energy harvesting and green communications for smart cities - Signal processing and green communications for smart cities - Physical modeling and testbed implementations for smart cities - Cache -assisted communication and computing systems for smart cities - Reconfigurable intelligent surfaces for smart cities - Performance limits of intelligent communications for smart cities - Artificial intelligence (AI)-enabled optimization and edge computing for smart cities - AI-enabled algorithms and protocol design for smart cities - Novel smart city applications with AI and existing wireless technologies (massive MIMO, millimeter-wave communications, THz communications, device-to-device communications, UAV communications, energy harvesting)
Last updated by Dou Sun in 2022-05-22
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