Article
Engineering, Electrical & Electronic
Yeongjin Kim, Jaehwan Jeong, Suyoung Ahn, Jeongho Kwak, Song Chong
Summary: This paper studies the joint beam activation and user scheduling problem in a 5G cellular network with massive MIMO and CoMP. The proposed BEANS policy, based on Lyapunov drift-plus-penalty framework and a greedy algorithm, can reduce the energy expenditure of RRHs and ensure finite service time for all user traffic arrivals. Simulation results show that BEANS achieves significant energy savings compared to other algorithms.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Jiajia Guo, Yiping Zuo, Chao-Kai Wen, Shi Jin
Summary: This study proposes a user-centric online training strategy to improve the performance of the autoencoder framework in reducing the feedback overhead of the downlink channel state information (CSI). The strategy takes advantage of the stable movement pattern of user equipment in practical systems and introduces data augmentation strategies to improve neural network generalization. The proposed method is extended to the multi-user scenario for considerable performance improvement using gossip learning.
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING
(2022)
Article
Computer Science, Information Systems
Akio Ikami, Naoki Aihara, Yu Tsukamoto, Takahide Murakami, Hiroyuki Shinbo
Summary: This study aims to achieve uniform radio quality anywhere anytime with a user-centric radio access network and Cell-free massive MIMO technology. However, the distributed deployment of CPUs results in radio quality degradation due to interference. To address this issue, an inter-site CPU cooperation method is proposed to reduce inter-site interference and optimize the degree of cooperation among CPUs. The proposed method shows a significant reduction in transmission load while maintaining the same area throughput, as demonstrated by computational simulation.
Article
Engineering, Electrical & Electronic
Lu Yang, Ping Li, Miaomiao Dong, Bo Bai, Dmitry Zaporozhets, Xiang Chen, Wei Han, Baochun Li
Summary: This paper proposes a capacity-centric (C2) architecture for future wireless networking, which aims to balance capacity requirements and signaling overhead by maximizing the number of non-overlapping clusters with guaranteed high average cluster capacity.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Chemistry, Multidisciplinary
Ahmed M. Awad, Mohamed Shehata, Safa M. Gasser, Hesham EL-Badawy
Summary: The massive traffic demand in 5G calls for radical changes in mobile network architecture. This paper proposes a model for BBU placement in C-RAN deployment over a 5G optical aggregation network to minimize inter-CoMP users and reduce X2 signalling overhead.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Hardware & Architecture
Marcus Wong, Anand Prasad, Anthony C. K. Soong
Summary: During the development of 5G, the emphasis was initially placed on the core network and access enhancement. However, attention is now being given to the security aspect of the 5G fronthaul as well. This article discusses the evolution of the fronthaul from CPRI to eCPRI and analyzes the security issues and missing enhancements in areas such as security provisioning, certificate enrollment, secure environment, and synchronization plane security.
IEEE WIRELESS COMMUNICATIONS
(2022)
Article
Telecommunications
Shahrukh Khan Kasi, Umair Sajid Hashmi, Sabit Ekin, Adnan Abu-Dayya, Ali Imran
Summary: 6G and beyond cellular networks need to meet heterogeneous application requirements and a redesign of the cellular architecture is necessary. This paper proposes an intelligent and demand-driven UCRAN architecture that can provide services to diverse use cases, using deep reinforcement learning and multi-objective optimization.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2023)
Article
Telecommunications
Shahrukh Khan Kasi, Umair Sajid Hashmi, Muhammad Nabeel, Sabit Ekin, Ali Imran
Summary: This paper investigates the use of coordinated multipoint transmission in a User-centric Cloud-based Radio Access Network, showing that the performance gain of enabling CoMP is insignificant in architectures where cell-edge users are virtually removed. Analysis includes comparative performance of different joint transmission schemes and analytical expressions for network-wide coverage probability, area spectral efficiency, and energy efficiency. Extensive Monte Carlo simulations validate the proposed analytical framework and provide insights into next-generation cellular architecture design.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2021)
Article
Computer Science, Information Systems
Azza H. Ahmed, Steven Hicks, Michael Alexander Riegler, Ahmed Elmokashfi
Summary: The increasing number of applications running over mobile networks with bounded end-to-end delay expectations presents challenges due to the stochastic and shared nature of the wireless medium. This study explores the use of multiple network interfaces and the development of predictive models to accurately detect and preempt delays. The findings suggest the feasibility of establishing an open-loop control system for multiplexing among several interfaces to proactively manage delays.
Article
Telecommunications
Kottilingam Kottursamy, Atta Ur Rehman Khan, Banupriya Sadayappillai, Gunasekaran Raja
Summary: The proposed eNB/gNB aware data retrieval algorithm and data replacement algorithm in 5G networks can effectively reduce mobile traffic and improve cache hit ratio. By optimizing data selection and storage locations, the advantages of low latency and low congestion have been achieved.
WIRELESS PERSONAL COMMUNICATIONS
(2022)
Article
Computer Science, Hardware & Architecture
Salvatore D'Oro, Leonardo Bonati, Francesco Restuccia, Tommaso Melodia
Summary: This paper introduces the application of RAN slicing technology in 5G networks, highlighting the two requirements that RAN slicing algorithms must meet and proposing corresponding solutions. Through simulations and experiments, the results show that these algorithms can effectively improve network throughput and signal-to-interference-plus-noise ratio.
IEEE-ACM TRANSACTIONS ON NETWORKING
(2021)
Article
Computer Science, Hardware & Architecture
Qiaolun Zhang, Jun Wu, Michele Zanella, William Fornaciari, Wu Yang, Ali Kashif Bashir
Summary: In large-scale emergency scenarios, massive content is generated and transmitted in intelligent Internet of vehicular things (IIoVT). Existing IP-networks-based emergency systems suffer from inefficient content dissemination and high-latency response. Previous works fail to address trust issues, resulting in fake content and malicious emergency services. To overcome these challenges, we propose an emergent semantic-based information-centric fog system, which ensures trustworthy and intelligent emergency analysis and management. The proposed system achieves a short average semantic analyzing time and a low failure rate of emergency services.
IEEE CONSUMER ELECTRONICS MAGAZINE
(2023)
Article
Computer Science, Information Systems
Lorenzo Bertizzolo, Tuyen X. Tran, John Buczek, Bharath Balasubramanian, Rittwik Jana, Yu Zhou, Tommaso Melodia
Summary: Enabling high data-rate uplink cellular connectivity for drones is a challenging problem. We propose a low-complexity, closed-loop control system that optimizes the drone's location and transmission directionality to support video streaming and minimize uplink interference impact on the network.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Mathematics, Applied
Zhenhua Wang
Summary: This paper investigates the consensus problem of first-order continuous-time agents with delays, using control gain based on delay bounds to design protocols for ensuring consensus. The study shows that consensus can be achieved when the sum of unknown delays is less than the provided bound.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Computer Science, Information Systems
Abu Jahid, Mohammed H. Alsharif, Peerapong Uthansakul, Jamel Nebhen, Ayman A. Aly
Summary: This paper proposes a dynamic point selection coordinated multipoint (DPS CoMP) based load balancing paradigm to enhance throughput and energy efficiency in communication networks. By utilizing green energy harvesting for powering C-RAN, it reduces the reliance on utility grid, carbon footprint, and operational expenses. Extensive simulations show that the proposed framework not only improves system performance, but also saves significant energy consumption and increases energy efficiency.
Article
Computer Science, Information Systems
Nazanin Moosavi, Mahnaz Sinaie, Paeiz Azmi, Pin-Hsun Lin, Eduard Jorswieck
Summary: This paper proposes a framework for meeting high data rate, low energy consumption, and low latency requirements in OFDMA-NOMA based H-CRAN. By maximizing effective energy efficiency and considering spectrum and power cooperation between macro base stations and radio remote heads, an efficient resource allocation scheme is proposed. Simulation results show that the algorithm can achieve a reasonable trade-off between delay and energy efficiency, and spectrum and power cooperation can improve the network's energy efficiency.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Computer Science, Information Systems
Moslem Forouzesh, Farid Samsami Khodadad, Paeiz Azmi, Ali Kuhestani, Hossein Ahmadi
Summary: This article investigates the security of a simple IoT-based point-to-point communication. It addresses the attacks of overhearing and detecting data communication, and proposes an optimization problem to enhance the security design. The numerical results demonstrate that a more accurate estimation of Willie's location has a more positive impact on the secrecy performance compared to the accuracy of Eves' CSI estimation.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Telecommunications
Amir Hossein Zarif, Paeiz Azmi, Nader Mokari Yamchi, Mohammad Reza Javn, Eduard A. Jorswieck
Summary: This paper studies a novel spectrum sharing and energy harvesting system using artificial intelligence (AI) and solves the problem using deep Q-network (DQN) and dueling double deep Q-network (D3QN). The simulation analysis shows that the proposed scheme is effective in improving the average age of information (AoI) and user access rate compared to existing models.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2022)
Article
Telecommunications
Nazanin Moosavi, Alessio Zappone, Paeiz Azmi, Mahnaz Sinaie
Summary: This letter proposes a novel framework to address the energy efficiency and latency issues in RIS-based communications for future 6G wireless networks. The framework maximizes the effective energy efficiency (EEE) metric through optimization of transmit powers and RIS phase shifts. Numerical results demonstrate improved system performance.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Telecommunications
Jafar Norolahi, Paeiz Azmi
Summary: In this study, a novel machine learning based algorithm is proposed to improve the performance of the beyond 5th generation wireless communication system. The algorithm utilizes a non-linear soft margin support vector machine problem to provide an automatic modulation classifier and a signal power to noise and interference ratio estimator. The results show that the algorithm can improve the success rate, decrease power consumption, and increase capacity in the system.
TELECOMMUNICATION SYSTEMS
(2023)
Review
Computer Science, Information Systems
Ijaz Ahmad, Felipe Rodriguez, Jyrki Huusko, Kari Seppanen
Summary: Sixth-generation communication networks must be highly dependable for critical infrastructures. Dependability is a compound metric of reliability, availability, safety, and security. This article explores the dependability of 6G networks using these concepts. It also studies the dependability of federated learning and mission-critical applications in 6G. The article provides important research directions for strengthening the dependability of 6G networks.
Article
Engineering, Electrical & Electronic
Changeez Amini, Paeiz Azmi, Seyed Sadra Kashef
Summary: This study investigates a visible light communication (VLC) system with an improved noise model applied to physical layer security (PLS), using secure beamforming signals with superposition coding. The improved model ensures that the output signal follows a signal-dependent Gaussian distribution. Two different methods are proposed to obtain lower and upper bounds on the secrecy rate of the strong user in direct transmission. Closed-form expressions for the lower and upper bounds on secrecy rate regions for various relaying schemes are derived, considering constraints and scenarios of blockage/outside coverage. The results show that the lower and upper bounds on secrecy rate regions are tight, and cooperative jamming outperforms other relaying schemes.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Proceedings Paper
Computer Science, Information Systems
Pawani Porambage, Jarno Pinola, Yasintha Rumesh, Chen Tao, Jyrki Huusko
Summary: The O-RAN architecture is an important entry point to 6G networks, but it may introduce new security issues. The current state-of-the-art lacks recommendations for dynamic security policy adjustments considering energy availability and risk. This paper proposes an XAI-based green security architecture, known as XcARet, which provides cognitive and transparent security solutions for O-RAN in a more energy efficient manner.
2023 JOINT EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS & 6G SUMMIT, EUCNC/6G SUMMIT
(2023)
Proceedings Paper
Computer Science, Information Systems
Rupender Singh, Ijaz Ahmad, Jyrki Huusko
Summary: 6G will revolutionize the world by providing high bandwidth, data rates, and coverage in remote areas through the integration of terrestrial and non-terrestrial networks. However, the security concerns regarding malicious attacks on satellite-terrestrial links have raised the need for physical layer security (PLS) to ensure the safety of the networks. This paper reviews the implementation of PLS in satellite communications, discusses ongoing research in satellite-based networks, categorizes different system architectures, and highlights future research directions and opportunities for leveraging PLS in satellite-based networks.
2023 JOINT EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS & 6G SUMMIT, EUCNC/6G SUMMIT
(2023)
Article
Computer Science, Information Systems
Afshin Souzani, Mohammad Ali Pourmina, Paeiz Azmi, Mohammad Naser-Moghadasi
Summary: Intelligence reconfigurable surfaces (IRS) have garnered attention for their ability to create an intelligent and controllable wireless propagation environment, promoting efficient and secure design. Physical layer security (PLS) is a vital technique in wireless networks, ensuring information-theoretic security despite the computational capability of eavesdroppers. The proposed system model combines IRS-assisted NOMA with obstacles hindering direct links, demonstrating enhanced secrecy rate through cooperative jamming signals and increased elements in the IRS, compared to orthogonal multiple access (OMA).
Article
Engineering, Electrical & Electronic
Najmeh Banitalebi, Paeiz Azmi, Nader Mokari, Atefeh Hajijamali Arani, Halim Yanikomeroglu
Summary: This paper investigates a resource allocation problem in a C-V2X network to improve energy efficiency. Self-organizing mechanisms and a multi-agent Q-learning algorithm are proposed for joint and disjoint subcarrier and power allocation in a distributed manner. Simulation results show significant performance gains of the multi-agent joint Q-learning algorithm in terms of energy efficiency.
IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY
(2022)
Article
Computer Science, Information Systems
Ijaz Ahmad, Jani Suomalainen, Pawani Porambage, Andrei Gurtov, Jyrki Huusko, Marko Hoyhtya
Summary: The article discusses the security challenges and potential solutions in satellite-terrestrial communication systems, and provides research directions for future studies on existing security gaps.
Article
Computer Science, Information Systems
Ijaz Ahmad, Zeeshan Asghar, Tanesh Kumar, Gaolei Li, Ahsan Manzoor, Konstantin Mikhaylov, Syed Attique Shah, Marko Hoyhtya, Jarmo Reponen, Jyrki Huusko, Erkki Harjula
Summary: This article discusses the latest technologies and technological paradigms in remote health care, emphasizing the need to use the latest technological developments and conducting a survey of existing technologies, challenges, and solutions. It also presents research gaps and future research directions to motivate further research in remote health care.
Article
Computer Science, Information Systems
Ijaz Ahmad, Jarno Pinola, Ilkka Harjula, Jani Suomalainen, Erkki Harjula, Jyrki Huusko, Tanesh Kumar
Summary: 5G technology enables different services to be provided over the same infrastructure through virtualization, softwarization, network slicing, and cloud computing. While this offers opportunities for innovation, it also brings about security challenges and requirements that need to be addressed.