Article
Engineering, Electrical & Electronic
Yongzhi Wu, Joonas Kokkoniemi, Chong Han, Markku Juntti
Summary: This study analyzed the indoor blockage effects in the THz band and proposed a THz channel model, deriving the aggregated interference and theoretical expressions to approximate coverage probability and average network throughput. Results showed that for the nearest-AP user association scheme, the optimal AP density is 0.15/m^2, leading to improved coverage probability and network throughput.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Ai Hui Tan
Summary: This article proposes a fingerprint distance maximization (FDM) method for AP selection in indoor positioning using wireless networks. The method evaluates APs based on their contribution to the largest difference term between fingerprints measured at different locations. Performance analysis shows that the FDM method achieves the highest accuracy and lowest uncertainty, and when combined with PCA, it reduces data storage requirement and execution time compared to competitors.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Electrical & Electronic
Ersan Kabalci, Yasin Kabalci, Pierluigi Siano
Summary: This paper proposes a smart metering infrastructure with DC and AC analog front ends, wired and wireless communication interfaces, and remote monitoring software. The implemented metering device includes isolated measurement transducers, a signal conditioning tier with highly accurate operational amplifiers, and signal processing by a PIC microcontroller. The processed measurement data is transmitted wirelessly and a graphical user interface software is coded at the receiving end host computer.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Review
Computer Science, Hardware & Architecture
Ampalavanapillai Nirmalathas, Tingting Song, Sampath Edirisinghe, Ke Wang, Christina Lim, Elaine Wong, Chathurika Ranaweera, Kamal Alameh
Summary: Optical wireless access networks have seen rapid progress due to their high capacity, support for user mobility, and guarantee of low-latency links, making them a promising communication technology.
JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING
(2021)
Article
Computer Science, Information Systems
Sudhanshu Arya, Yeon Ho Chung
Summary: This article presents a novel UV indoor communication scheme, showcasing its potential effectiveness and application advantages through research on design implementation, channel modeling, and performance analysis.
IEEE SYSTEMS JOURNAL
(2021)
Article
Computer Science, Information Systems
Yiming Huo, Xiaodai Dong, Nuwan Ferdinand
Summary: With the commercialization and rapid deployment of 5G networks, the development of 6G wireless communication is focusing on providing competitive Quality of Service (QoS) to global users. This research emphasizes the modeling and characterization of wireless propagation in the terahertz (THz) domain and addresses the energy efficiency of future networks. By utilizing reconfigurable intelligent surface (RIS)-assisted wireless communications and a distributed RISs framework (DRF), the study demonstrates the efficacy of overcoming human blockage, improving THz signal coverage, and increasing signal-to-noise ratios (SNRs) and QoS. Moreover, the research explores the practical implementation of such a system with integrated sensing and communication techniques for efficient THz communications in IoT networks.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Fadhil Firyaguna, Jacek Kibilda, Carlo Galiotto, Nicola Marchetti
Summary: This article investigates the deployment of dense millimeter-wave access points in urban areas and the impact of human body blockages on signal propagation. The study finds that coverage and area spectral efficiency exhibit non-trivial behavior with respect to access point density, with an optimal configuration that maximizes either coverage or area spectral efficiency. Such optimal configuration changes depending on the body blockage probability, requiring network designers to carefully consider their intended application and scenario.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2021)
Article
Computer Science, Information Systems
Venkata Gadiraju, Hsiao-Chun Wu, Costas Busch, Prasanga Neupane, Shih Yu Chang, Scott C-H Huang
Summary: The study focuses on maximizing coverage area within an arbitrary polygonal ROI by placing sensor/access points, using a maximum-area clique approach over the visibility graph. The proposed optimal scheme shows higher coverage efficiencies compared to existing solutions and traditional methods, making it valuable for various types of polygons.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
Article
Chemistry, Analytical
Mohamed S. El-Gendy, Imran Ashraf, Samy El-Hennawey
Summary: This study proposes a new technique for indoor positioning systems that utilizes Wi-Fi technology and a new design of two orthogonal phased antenna arrays. The design parameters were chosen through parametric sweeps and software testing results showed the feasibility and suitability of the proposed antenna array for indoor positioning.
Article
Engineering, Electrical & Electronic
Yi Chen, Yuanbo Li, Chong Han, Ziming Yu, Guangjian Wang
Summary: This study investigates the indoor channel characteristics of THz communications by conducting extensive channel measurement activities and studying hybrid channel models. Through careful system calibration, MPC clustering, and ray-tracing techniques, the research comprehensively analyzes the propagation features and multi-path characteristics of THz signals.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Shukai Fan, Yongzhi Wu, Chong Han, Xudong Wang
Summary: This paper proposes a structured intra-attention bidirectional recurrent deep learning method to solve the CSI-based 3D THz indoor localization problem with significantly improved accuracy. The method extracts hidden information through recurrent neural network and ResNet for indoor positioning, demonstrating fast convergence and robustness against interference.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2021)
Article
Optics
Govind Sharan Yadav, Pouya Torkaman, Xuan-Wei Miao, Kai-Ming Feng, Shang-Hua Yang
Summary: This Letter proposes and experimentally validates a sparse deep learning method (SDLM) for terahertz indoor wireless-over-fiber. The findings demonstrate that SDLM provides improved performance in mitigating nonlinear distortions with reduced complexity compared to traditional methods.
Article
Engineering, Electrical & Electronic
Shihao Ju, Yunchou Xing, Ojas Kanhere, Theodore S. Rappaport
Summary: This study presents an indoor 3-D spatial statistical channel model for mmWave and sub-THz frequencies based on extensive radio propagation measurements at 28 and 140 GHz. The resulting channel statistics show that the number of time clusters follows a Poisson distribution and the number of subpaths within each cluster follows a composite exponential distribution. A unified indoor statistical channel model for mmWave and sub-Terahertz frequencies is proposed, and a corresponding indoor channel simulator is developed for future air-interface, beamforming, and transceiver designs in 6G and beyond.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Jia Ye, Shuping Dang, Guoqing Ma, Osama Amin, Basem Shihada, Mohamed-Slim Alouini
Summary: This paper analyzes the outage performance of terahertz communication systems using a compound channel model, which incorporates various factors affecting the performance. The proposed model achieves a balance between mathematical tractability and realistic channel representation. Additionally, a maximum likelihood estimation-based approach is designed for channel parameter estimation. The analytical results are presented in closed form and verified through numerical experiments.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Rupesh Rai, Huiling Zhu, Jiangzhou Wang
Summary: This paper conducts a performance analysis of non-orthogonal multiple access (NOMA) in cloud radio access networks (C-RAN). The joint optimization problem of user association, muting, and power-bandwidth allocation is formulated for NOMA-enabled C-RANs. The paper proposes centralized and heuristic algorithms to obtain feasible solutions for the RRH muting problem and achieves significant fairness improvement compared to orthogonal multiple access (OMA)-based C-RANs.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Joaquin Torres-Sospedra, Darwin P. Quezada Gaibor, Jari Nurmi, Yevgeni Koucheryavy, Elena Simona Lohan, Joaquin Huerta
Summary: Indoor positioning based on IEEE 802.11 wireless LAN (Wi-Fi) fingerprinting requires a reference data set called a radio map to match incoming fingerprints and estimate device position. To address scalability issues, researchers divide the radio map into smaller clusters to reduce the computational load. However, these clustering models lack domain knowledge for indoor positioning. This study proposes clustering variants to optimize search and evaluates their performance, providing guidelines for efficient and accurate positioning. Results show that the proposed variants reduce execution time by half and positioning error by approximately 7% compared to traditional clustering models.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Telecommunications
Mateen Ashraf, Bo Tan, Dmitri Moltchanov, John S. S. Thompson, Mikko Valkama
Summary: This paper studies a dual functional radar communication (DFRC) system with multiple communication users (CUs) and a radar target. The goal is to optimize the beamforming vectors at the transmitter to enhance radar performance while satisfying the data rate requirements of CUs. Efficient algorithms based on convex optimization techniques are proposed to solve the formulated non-convex optimization problems. The results show that separate probing signals for radar detection are not needed in both clutter scenarios, reducing the complexity of the algorithm.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2023)
Article
Engineering, Electrical & Electronic
Nadezhda Chukhno, Olga Chukhno, Dmitri Moltchanov, Anna Gaydamaka, Andrey Samuylov, Antonella Molinaro, Yevgeni Koucheryavy, Antonio Iera, Giuseppe Araniti
Summary: This study investigates the efficient use of multicast services in 5G NR systems and proposes several machine learning methods to address the problem. The results show a trade-off between accuracy and computational complexity in multicast grouping using decision tree-based algorithms, and the nature of cell coverage also affects the solution options.
IEEE TRANSACTIONS ON BROADCASTING
(2023)
Article
Computer Science, Information Systems
Nadezhda Chukhno, Olga Chukhno, Dmitri Moltchanov, Antonella Molinaro, Yuliya Gaidamaka, Konstantin Samouylov, Yevgeni Koucheryavy, Giuseppe Araniti
Summary: The support of multicast communications in 5G NR system poses challenges to system designers due to highly directional antennas. This study presents a globally optimal solution for multi-beam antenna operation in 5G mmWave systems. The results show that a single beam is always utilized for small cell radii, while the optimal number of beams is upper bounded by 3 for higher cell coverage and practical user ranges (5-50).
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Engineering, Electrical & Electronic
Anastasia Daraseliya, Eduard Sopin, Dmitri Moltchanov, Yevgeni Koucheryavy, Konstantin Samouylov
Summary: In this paper, the deployment of NR-U base stations operating in licensed and unlicensed mmWave bands in the presence of WiGig traffic is investigated. Performance of different offloading strategies is compared using session loss probability as the main metric of interest.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Nhan Thanh Nguyen, Van-Dinh Nguyen, Hieu Van Nguyen, Hien Quoc Ngo, Symeon Chatzinotas, Markku Juntti
Summary: This article explores an HR-RIS-aided CF mMIMO system, which combines HR-RIS technology with CF mMIMO to achieve better performance. The article models the uplink/downlink channels and derives the minimum-mean-square-error estimate of the effective channels. Additionally, a comprehensive analysis of the system's spectral efficiency is presented, with closed-form expressions for uplink and downlink SE. These results are crucial for designing new transmission strategies and optimizing HR-RIS-aided CF mMIMO systems.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Leatile Marata, Onel Luis Alcaraz Lopez, Hamza Djelouat, Markus Leinonen, Hirley Alves, Markku Juntti
Summary: This study proposes a unified framework for the amicable coexistence of machine-type communication (MTC) and human-type communication (HTC) by introducing transceiver techniques to promote efficient signal recovery. Results show that harmonious coexistence of the heterogeneous services can be achieved with properly configured average signal-to-noise ratios and pilot length.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Praneeth re Susarla, Bikshapathi Gouda, Yansha Deng, Markku Juntti, Olli Silven, Antti Tolli
Summary: This paper proposes a deep Q-Network based framework for uplink UAV-BS beam alignment, which utilizes location information to maximize beamforming gain. Experimental results show that the proposed framework converges faster and performs similarly to the traditional exhaustive approach in real-time conditions.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Vaibhav Kumar, Muhammad Fainan Hanif, Markku Juntti, Le-Nam Tran
Summary: In order to bridge the computational power gap between the network core and edges, mobile edge computing (MEC) is crucial for future wireless networks. This study proposes a non-orthogonal multiple access (NOMA) transmission model and develops a provably convergent and efficient algorithm to optimize task offloading and maximize the number of offloaded bits in a multi-user NOMA-MEC system. Compared to the traditional approach of optimized orthogonal multiple access (OMA), the NOMA-based system outperforms its OMA-based counterpart in MEC settings, considering MEC delay, power, and energy constraints. Numerical results demonstrate the effectiveness of the proposed NOMA-based MEC algorithm, especially for delay-sensitive applications.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Mathematics
Vladislav Prosvirov, Amjad Ali, Abdukodir Khakimov, Yevgeni Koucheryavy
Summary: Channel state information is crucial for various tasks in mmWave/THz communications systems. This paper assesses the effective correlation distances in different scenarios and proposes a methodology based on ConvLSTM model to reduce computational efforts for ray-tracing. The results show that the ConvLSTM model accurately predicts the angles up to a certain distance.
Article
Computer Science, Information Systems
Emil Khayrov, Yevgeni Koucheryavy
Summary: With the introduction of Integrated Access and Backhaul (IAB) technology by 3GPP, the last mile in beyond 5G cellular systems will have multiple wireless backhaul links between user equipment and base station, leading to packet latency as a dominant factor in QoS. Due to blockage and micromobility, directional communications at millimeter wave (mmWave) frequencies may experience frequent outages, resulting in periods of silence and subsequent rate compensation. This paper assesses the impact of mmWave propagation on delay and medium access control (MAC) buffer overflow performance in a 5G NR IAB network node.
Proceedings Paper
Automation & Control Systems
Roman Kovalchukov, Roman Glazkov, Srikathyayani Srikanteswara, Yi Zhang, Dmitri Moltchanov, Gabriel Arrobo, Hao Feng, Marcin Spoczynski, Nageen Himayat
Summary: This paper proposes a new approach for in-network fully distributed dynamic compute composition. The approach allows data and software to be assembled inside the network and enables compute node selection using standardized NDN functionalities. It offers smooth support for dynamic compute services over wireless/mobile edge and edge/fog NDN-based systems.
2023 IEEE 97TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-SPRING
(2023)
Proceedings Paper
Automation & Control Systems
Radek Mozny, Pavel Masek, Martin Stusek, Karol Molnar, Marketa Palenska, Dmitri Moltchanov, Jiri Hosek
Summary: Unmanned aerial vehicles (UAVs) have attracted significant attention and offer many potential business opportunities. Airborne infrastructures have unique attributes, such as increased flexibility and line-of-sight connections, which bring new research questions and challenges. Achieving reliable service in all altitudes for unmanned traffic management (UTM) is a key challenge. Results from a measurement campaign at Twente airport showed that the performance of the 4G cellular network is stable up to 60m altitude but degrades significantly at higher altitudes, particularly for downlink transmissions.
2023 IEEE 97TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-SPRING
(2023)
Proceedings Paper
Automation & Control Systems
Andrey Samuylov, Dmitri Molichanov, Juho Pirskanen, Jussi Numminen, Yevgeni Koucheryavy, Mikko Valkama
Summary: The recently standardized ETSI DECT-2020 NR technology is expected to enable operator-independent IoT services. Through system-level simulation, this paper evaluates coexistence solutions for DECT-2020 and classic DECT systems, showing that standard listen-before-talk access ensures excellent performance while last-minute scan leads to significant degradation in DECT-2020 performance.
2023 IEEE 97TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-SPRING
(2023)
Article
Engineering, Electrical & Electronic
Nhan Thanh Nguyen, Nir Shlezinger, Yonina C. Eldar, Markku Juntti
Summary: This research proposes a method to improve the tradeoff between communication and sensing performance in wideband multiuser multiple-input multiple-output systems. By allocating a subset of subcarriers for radar sensing and utilizing the entire bandwidth for communication, the proposed scheme achieves a significant improvement in system performance while requiring fewer radio frequency chains.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2023)
