Article
Computer Science, Hardware & Architecture
Sandeep Gulia, Anwar Ahmad, Sandeep Singh, Mangal Deep Gupta
Summary: Interference is a major issue in cellular networks, especially for cell-edge users. In heterogeneous networks, time domain enhanced inter-cell interference coordination (TD-eICIC) and coordinated multipoint (CoMP) are two methods that can improve network performance. This article proposes a simplified and efficient multi-tier adaptive cell-coordination approach, combining the features of TD-eICIC and joint transmission CoMP (JT-CoMP), to address the challenges in dynamically varying mobile environments.
COMPUTERS & ELECTRICAL ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Wen Sun, Lu Wang, Jiajia Liu, Nei Kato, Yanning Zhang
Summary: The paper explores how to choose the appropriate BS cooperation set to reduce handover rate, introducing MACH and iMACH schemes. Utilizing stochastic geometry method, the performance expressions of these schemes are derived. Theoretical analyses show that the proposed schemes outperform the existing schemes in terms of coverage probability, handover probability, and throughput, making them more intelligent and suitable for ultra-dense scenarios.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Bin Li, Yonghong Dai, Zhicheng Dong, Erdal Panayirci, Huilin Jiang, Hao Jiang
Summary: This paper investigates the optimization of energy efficiency in mmWave massive MIMO systems within ultra-dense HetNets. By proposing an iterative EE algorithm and applying CoMP technology, the study achieves improved energy efficiency while increasing network density.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Muhammad Sohaib J. Solaija, Hanadi Salman, Abuu B. Kihero, Mehmet Izzet Saglam, Huseyin Arslan
Summary: The diversity of services in 5G and beyond networks requires a coordinated and flexible network architecture. Generalizing CoMP to a proactive and efficient resource management framework can support different user requirements while considering network constraints, enabling diverse use cases in the network.
Article
Engineering, Electrical & Electronic
Jie Zheng, Ling Gao, Haijun Zhang, Dusit Niyato, Jie Ren, Hai Wang, Hongbo Guo, Zheng Wang
Summary: Interference management and power transfer can significantly improve dense Internet of Things heterogeneous networks over 5G networks. The proposed approach in this paper optimizes interference aware UL/DL decoupling, airtime resource allocation, and energy transfer to achieve over 20% improvement in system utility compared to state-of-the-art solutions in dense IoT HetNets. The algorithm efficiently translates the complex optimization problem into a solvable space, maintaining user fairness and rate experience in a fast and scalable manner.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Mohamad Khattar Awad, Ali A. M. R. Behiry, Mohammed W. Baidas
Summary: The demand for high-capacity network services with stringent quality of service requirements is growing rapidly, driving the use of heterogeneous network (HetNet) architectures. A load balancing scheme for CoMP-enabled HetNets has been proposed to optimize user latency and green energy utilization. The new scheme improves data rates for edge users, reduces latency and power consumption, and increases network sum-rate.
PHYSICAL COMMUNICATION
(2021)
Article
Computer Science, Information Systems
Abdelhamied A. Ateya, Abeer D. Algarni, Monia Hamdi, Andrey Koucheryavy, Naglaa. F. Soliman
Summary: The Internet of things (IoT) is the third evolution of the traditional Internet that enables interaction and communication among machines. Integrating heterogeneous IoT networks with existing cellular networks face challenges related to dense deployment and a massive number of connected devices. The proposed system in this research provides a framework for integrating heterogeneous IoT networks with 5G networks through the deployment of mobile edge computing, device-to-device communications, and software-defined networking.
Article
Telecommunications
Amandeep Noliya, Sanjeev Kumar
Summary: The study presents a framework for allocating efficient resources among users in dense networks. It utilizes affinity propagation unsupervised learning to form clusters and proposes a victim aware and coordination multipoint mechanism. The proposed framework significantly enhances the total throughputs, edge throughput, and spectral efficiency of the system.
WIRELESS PERSONAL COMMUNICATIONS
(2021)
Proceedings Paper
Telecommunications
Aymen Askri, Ghaya Rekaya-Ben Othman
Summary: This paper focuses on Coordinated Multi-Point (CoMP) transmission in small dense networks, proposing a novel JT-CoMP scheme to minimize network backhaul while utilizing limited radio resources. The results demonstrate that the proposed CoMP scheme achieves the highest sum rate in comparison to other schemes.
2021 IEEE INTERNATIONAL MEDITERRANEAN CONFERENCE ON COMMUNICATIONS AND NETWORKING (IEEE MEDITCOM 2021)
(2021)
Proceedings Paper
Engineering, Electrical & Electronic
Williams-Paul Nwadiugwu, Dong-Seong Kim
Summary: This paper introduces a JT-CoMP wireless terminal network with UAV-based cooperative C-NOMA, and presents four novel terminal communication protocols to coordinate communication among terminals. The proposed multi-UAV UL-DL model demonstrates robustness in different network environments, achieving antenna gain, low transmission power, and improved throughput in LoS and NLoS conditions.
12TH INTERNATIONAL CONFERENCE ON ICT CONVERGENCE (ICTC 2021): BEYOND THE PANDEMIC ERA WITH ICT CONVERGENCE INNOVATION
(2021)
Article
Engineering, Electrical & Electronic
Dania Marabissi, Giulio Bartoli, Andrea Stomaci
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2019)
Article
Computer Science, Information Systems
Giulio Bartoli, Romano Fantacci, Dania Marabissi
IEEE INTERNET OF THINGS JOURNAL
(2019)
Article
Engineering, Electrical & Electronic
Andrea Tani, Francesco Chiti, Romano Fantacci, Dania Marabissi
IET COMMUNICATIONS
(2020)
Article
Engineering, Electrical & Electronic
Giulio Bartoli, Romano Fantacci, Dania Marabissi
Summary: This paper introduces a new method to maximize the achievable throughput of an ultra dense network with suitable spatial spectrum reuse, and solves the newly defined problem using the Gibbs Sampling approach. The method's effectiveness is proven through comparison with other optimization methods.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Telecommunications
Francesco Chiti, Romano Fantacci, Dania Marabissi, Andrea Tani
Summary: Regulatory bodies anticipate the coexistence of multiple heterogeneous secondary networks in TV-white spaces, leading to the proposal of a weighted autocorrelation-based spectrum sensing technique to address this issue. The technique allows for the identification of concurrent secondary networks and detection of potential unknown networks in a blind mode. Performance comparisons with alternative schemes demonstrate the advantages of the proposed solution.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2021)
Article
Engineering, Electrical & Electronic
Giulio Bartoli, Dania Marabissi
Summary: This paper investigates the effects of CQI aging on UAV control information delivery, and proposes a deep learning prediction mechanism to address the issue of CQI aging. Experimental results show that the proposed prediction mechanism outperforms previously proposed methods in terms of decode error probability and throughput.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Andrea Tani, Dania Marabissi, Romano Fantacci
Summary: This paper demonstrates the feasibility of full-duplex techniques in improving spectrum usage in wireless systems, proposes a generalized likelihood ratio test detector exploiting the multipath correlation due to the primary user's channel, and proves its robustness with respect to imperfect self-interference cancellation.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Dania Marabissi, Lorenzo Mucchi, Andrea Stomaci
Summary: This paper discusses the use of physical layer security in future wireless systems as a means of communication security, with a focus on node authentication and spoofing detection in wireless sensor networks. Through machine learning and wireless fingerprinting, nodes can be effectively classified and verified for identity, improving the security performance of the system.
Article
Telecommunications
Dania Marabissi, Lorenzo Mucchi, Stefano Caputo, Francesca Nizzi, Tommaso Pecorella, Romano Fantacci, Tassadaq Nawaz, Marco Seminara, Jacopo Catani
JOURNAL OF SENSOR AND ACTUATOR NETWORKS
(2020)
Proceedings Paper
Telecommunications
Giulio Bartoli, Romano Fantacci, Dania Marabissi, Benedetta Picano
2019 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC)
(2019)
Article
Telecommunications
Dania Marabissi, Romano Fantacci, Linda Simoncini
JOURNAL OF SENSOR AND ACTUATOR NETWORKS
(2019)
Article
Computer Science, Information Systems
Dania Marabissi, Lorenzo Mucchi, Romano Fantacci, Maria Rita Spada, Fabio Massimiani, Andrea Fratini, Giorgio Cau, Jia Yunpeng, Lucio Fedele