Dataset for multi-perspective traffic video analysis Ramon Sanchez-Iborra, Vasileios Kouvakis, Stylianos E. Trevlakis, Gonzalo Alarcon-Hellin, Theodoros Tsiftsis, Luis Bernal-Escobedo, Rodrigo Asensio-Garriga, Alexandros-Apostolos A. Boulogeorgos, Antonio Skarmeta Scientific Data, 2026 Multi-angle video recordings are of significant interest as they provide comprehensive and synchronized data from multiple perspectives. This enables advanced analysis and modeling in environments with complex conditions due to their dynamics or the presence of obstacles, which lead to occlusions or loss of information in single-camera setups. This dataset comprises video footage of vehicular and pedestrian activity from three complementary viewpoints: A vehicle-mounted camera, a road side unit-mounted surveillance camera, and a drone-mounted camera. The dataset can be used in several domains including object, event, and activity recognition and tracking, urban analysis and planning, digital twinning, as well as semantic communication. To demonstrate its usefulness, standardized metrics are employed to provide quantitative evidence of the dataset's quality and reliability in comparison with existing datasets. The multi-modal nature of the footage paves the way for novel research in sensor fusion architectures and multi-scale modeling, critical for next-generation smart urban infrastructures.
Active RIS-Aided Full-Duplex Cell-Free Massive MIMO for Mobile Wireless Networks of Limited Capacity Sravani Kurma, Keshav Singh, Alexandros-Apostolos A. Boulogeorgos, Theodoros A. Tsiftsis, Chih-Peng Li IEEE Transactions on Vehicular Technology, 2026 In the era of fifth-generation (5G) mobile networks and the impending advent of sixth-generation (6G) networks, the demand for higher data rates, improved spectral efficiency, and seamless user experiences is exponentially growing. One of the promising countermeasures is the integration of active reconfigurable intelligent surfaces (RIS) with full-duplex (FD) cell-free massive multiple-input multiple-output (CFm-MIMO) systems, catering to the dynamic mobility of users and limited fronthaul resources. However, the feasibility of such system is questionable. To cover this research gap, this paper presents a comprehensive outage performance analysis of the FD CFm-MIMO system, considering the impact of the realistic parameters, such as user mobility, partial channel state information (CSI), and limited fronthaul capacity. In this direction, we provide a tight approximation for the outage probability. The findings of this research underscore the pivotal role of user mobility, CSI accuracy, configuration of active RIS, users and access point antennas, and quantization parameters on the outage performance of the active RIS-assisted FD CFm-MIMO wireless system.
Secure and Green RSMA-Assisted Heterogeneous ISAC Xudong Li, Rugui Yao, Theodoros A. Tsiftsis, Alexandros-Apostolos A. Boulogeorgos IEEE Transactions on Vehicular Technology, 2026 This paper investigates sensing, communication, security, and energy efficiency of the heterogeneous integrated sensing and communication networks under challenging operational conditions. We focus on scenarios in which communication performance, security, and sensing accuracy are degraded by interference, eavesdropping, and imperfect channel state information. To this end, we analyze communication and sensing signals within ISAC framework as well as the communication signals of a multicast network based on <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">rate-splitting multiple access</i> (RSMA). Then, sensing signal-to-cluster-plus-noise ratio, communication rate, security rate, and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">security energy efficiency</i> (SEE) are evaluated. To simultaneously enhance these system performances, we propose a targeted optimization framework aimed at maximizing SEE. This framework characterizes the sensing-security trade-off by jointly optimizing the transmit <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">beamforming</i> (BF) vectors and the echo BF vector to construct green interference using the echo signal, as well as common and private streams generated by RSMA. Particularly, the joint design improves the security rate and reduces power consumption, thereby enabling a higher SEE. Given the non-convex nature of the optimization problem, we present an alternative approach that leverages Taylor series expansion, majorization-minimization, semi-definite programming, and successive convex approximation techniques. Specifically, we decompose the original non-convex and intractable optimization problem into three simplified sub-optimization problems, which are iteratively solved using an alternating optimization strategy. Simulations provide comparisons with state-of-the-art schemes, highlighting the superior efficiency, robustness, and scalability of the proposed joint multi-BF optimization scheme based on RSMA and green interference in improving system performances.
On the Joint Effect of Disorientation and Misalignment on LiDAR Systems Alexandros-Apostolos A. Boulogeorgos, Stylianos E. Trevlakis, Theodoros A. Tsiftsis, Joonas Kokkoniemi, Markku Juntti IEEE Wireless Communications Letters, 2026 Light detection and ranging (LiDAR) systems are a key technology for sensing in terms of ranging and velocity of a mobile target for various environments, such as terrestrial, satellite, underwater, etc. However, the turbulence-induced fading and pointing errors are inherent detrimental effects in laser communications. In this paper, we study both the disorientation and misalignment errors of LiDAR systems over Gamma-Gamma turbulence fading channels. The analysis puts emphasis on either time of flight (ToF) or frequency-modulated continuous wave (FMCW) LiDAR ranging and velocity precision and provides the theoretical frameworks for deriving the aforementioned key performance indicators. In more detail, we extract closed-form Cramér-Rao Lower Bounds (CRLBs) for ranging and velocity precision and validation via Monte Carlo simulations. As a final step, we extract the operational bounds of both ToF and FMCW LiDARs due to the joint effect of disorientation and misalignment.
Towards Joint Optimization for UAV-Integrated RIS-Assisted Fluid Antenna Systems Ali Reda, Tamer Mekkawy, Theodoros A. Tsiftsis, Chan-Byoung Chae, Kai-Kit Wong IEEE Transactions on Vehicular Technology, 2026 Unmanned aerial vehicles (UAVs) integrated into cellular networks face significant challenges from air-to-ground interference. To address this, we propose a downlink UAV communication system that leverages a fluid antenna system (FAS)-assisted reconfigurable intelligent surface (RIS) to enhance signal quality. By jointly optimizing the FAS port positions and RIS phase shifts, we maximize the achievable rate. The resulting non-convex optimization problem is solved using successive convex approximation (SCA) based on second-order cone programming (SOCP), which reformulates the constraints into a tractable form. Simulation results show that the proposed algorithm significantly improves both outage probability and achievable rate over conventional fixed-position antenna (FPA) schemes, with particularly large gains in large-scale RIS configurations. Moreover, the algorithm converges rapidly, making it suitable for real-time applications.
Speed-Aware Asynchronous Deep Reinforcement Learning for Joint Handover Parameter Adaptation in 5G and Beyond Networks Chenhao Shi, Chiew Foong Kwong, Qianyu Liu, Zekai Huang, Zheng Chu, Theodoros A. Tsiftsis IEEE Communications Letters, 2026 In response to the explosive growth of data rates and traffic in 5G and beyond, network densification has emerged as a key solution. However, this approach presents significant challenges for mobility management, including high frequency of handovers (HOs), ping-pong effects, and HO failures. To address these problems, this letter proposes the speed-aware asynchronous reinforcement learning (RL) HO algorithm to dynamically adjust two HO control parameters in Self-Organizing Networks (SON), i.e., HO Margin and Time-to-Trigger. Simulation results demonstrate that the speed-aware asynchronous RL approach achieves superior performance compared to speed-unaware one, Reference Signal Received Power (RSRP)-based and other RL-based approaches.
Backscatter-Assisted High-Speed Rail Communications in Straight Tunnel Environments: Effects of Tag Number and Phase Control Yunping Mu, Gongpu Wang, Ruisi He, Theodoros A. Tsiftsis, Saman Atapattu, Chintha Tellambura IEEE Wireless Communications Letters, 2026 Backscatter communication is a promising technology to enhance the signal strength received by the receiver in straight tunnel environments. The impact of the number of tags and their phase adjustment on system performance remains a challenging issue though. Therefore, in this paper, we investigate the channel gain of backscatter-assisted communication with multiple tags in straight tunnels. In particular, we derive the probabilities that the backscatter link gain is greater than the direct link under adjustable and random phase assumptions by applying the Gaussian and Gamma approximations to derive tractable expressions. The simulation results show that phase-adjustable tags significantly improve the channel gain of the backscatter links compared to the random phase case. Moreover, the number of tags has an upper threshold for an effective tag deployment pattern. These insights provide valuable guidelines for the efficient design of backscatter communication systems in tunnel environments.
SORIS: A Self-Organized Reconfigurable Intelligent Surface Architecture for Wireless Communications Evangelos Koutsonas, Alexandros-Apostolos A. Boulogeorgos, Stylianos E. Trevlakis, George C. Alexandropoulos, Theodoros A. Tsiftsis, Rui Zhang IEEE Transactions on Green Communications and Networking, 2026 In this paper, a new reconfigurable intelligent surface (RIS) hardware architecture, called self-organized RIS (SORIS), is proposed. The architecture incorporates a microcontroller connected to a single-antenna receiver operating at the same frequency as the RIS unit elements, operating either in transmission or reflection mode. The transmitting RIS elements enable the low latency estimation of both the incoming and outcoming channels at the micro-controller’s side. In addition, a machine learning approach for estimating the incoming and outcoming channels involving the remaining RIS elements operating in reflection mode is devised. Specifically, by appropriately selecting a small number of elements in transmission mode, and based on the channel reciprocity principle, the respective channel coefficients are first estimated, which are then fed to a low-complexity neural network that, leveraging spatial channel correlation over RIS elements, returns predictions of the channel coefficients referring to the rest of elements. In this way, the SORIS microcontroller acquires channel state information, and accordingly reconfigures the panel’s metamaterials to assist data communication between a transmitter and a receiver, without the need for separate connections with them. Moreover, the impact of channel estimation on the proposed solution, and a detailed complexity analysis for the used model, as well as a wiring density and control signaling analysis, is performed. The feasibility and efficacy of the proposed self-organized RIS design and operation are verified by Monte Carlo simulations, providing useful guidelines on the selection of the RIS elements for operating in transmission mode for initial channel estimation.
Maneuverable-Jamming-Aided Secure Communication and Sensing in A2G-ISAC Systems Libiao Lou, Yuan Liu, Fotis Foukalas, Hongjiang Lei, Gaofeng Pan, Theodoros A. Tsiftsis, Hongwu Liu IEEE Transactions on Vehicular Technology, 2026 In this paper, we propose a maneuverable-jamming-aided secure communication and sensing (SCS) scheme for an air-to-ground integrated sensing and communication (A2G-ISAC) system, where a dual-functional source UAV and a maneuverable jamming UAV operate collaboratively in a hybrid monostatic-bistatic radar configuration. The maneuverable jamming UAV emits artificial noise to assist the source UAV in detecting multiple ground targets while interfering with an eavesdropper. The effects of residual interference caused by imperfect successive interference cancellation on the received signal-to-interference-plus-noise ratio are considered, which degrades the system performance. To maximize the average secrecy rate (ASR) under transmit power budget, UAV maneuvering constraints, and sensing requirements, the dual-UAV trajectory and beamforming are jointly optimized. Given that secure communication and sensing fundamentally conflict in terms of resource allocation, making it difficult to achieve optimal performance for both simultaneously, we adopt a two-phase design to address this challenge. By dividing the mission into the secure communication (SC) phase and the SCS phase, the A2G-ISAC system can focus on optimizing distinct objectives separately. In the SC phase, a block coordinate descent algorithm employing the trust-region successive convex approximation and semidefinite relaxation iteratively optimizes dual-UAV trajectory and beamforming. For the SCS phase, a weighted distance minimization problem determines the suitable dual-UAV sensing positions by a greedy algorithm, followed by the joint optimization of source beamforming and jamming beamforming. Simulation results demonstrate that the proposed scheme achieves the highest ASR among benchmarks while maintaining robust sensing performance, and confirm the impact of the SIC residual interference on both secure communication and sensing.
Waveform Design for Partial-Time Superimposed ISAC Systems Xi Nan, Rugui Yao, Ye Fan, Ruikang Zhong, Xiaoya Zuo, Theodoros A. Tsiftsis, Alexandros-Apostolos A. Boulogeorgos IEEE Transactions on Green Communications and Networking, 2026
Edge deep learning for low capabilities devices Fotios Filippou, Fotis Foukalas, Theodoros Tsiftsis Balkancom 2025 8th International Balkan Conference on Communications and Networking Empowering Connections Enabling Innovation, 2025
An Innovative Architectural Blueprint Towards Sustainable 6G Systems Stylianos E. Trevlakis, Maria Belesioti, Harilaos Koumaras, Alexandros–Apostolos A. Boulogeorgos, Ioannis Chochliouros, Theodoros A. Tsiftsis IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks Camad, 2024
On Secure NOMA-Aided Semi-Grant-Free Systems Hongjiang Lei, Fangtao Yang, Hongwu Liu, Imran Shafique Ansari, Kyeong Jin Kim, Theodoros A. Tsiftsis IEEE Transactions on Wireless Communications, 2024
Markov Chain-Based Model of Blockchain Radio Access Networks Vasileios Kouvakis, Stylianos E. Trevlakis, Alexandros-Apostolos A. Boulogeorgos, Hongwu Liu, Theodoros A. Tsiftsis, Octavia A. Dobre IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks Camad, 2024
When Sign Language Meets Semantic Communications Vasileios Kouvakis, Stylianos E. Trevlakis, Alexandros-Apostolos A. Boulogeorgos, Theodoros Tsiftsis, Keshav Singh, Nan Qi IEEE International Symposium on Personal Indoor and Mobile Radio Communications PIMRC, 2024
Hardware-Limited Cooperative SWIPT-enabled NOMA Networks Orken Omarov, Sultangali Arzykulov, Galymzhan Nauryzbayev, Theodoros A. Tsiftsis 2020 12th International Symposium on Communication Systems Networks and Digital Signal Processing Csndsp 2020, 2020
Wireless Powered Cognitive Cooperative Networks: Outage Performance Sultangali Arzykulov, Galymzhan Nauryzbayev, Behrouz Maham, Theodoros A. Tsiftsis, Khaled M. Rabie 2019 13th International Conference on Signal Processing and Communication Systems Icspcs 2019 Proceedings, 2019
Effective capacity analysis for VR-HARQ systems Zheng Shi, Theodoros Tsiftsis, Weiqiang Tan, Guanghua Yang, Shaodan Ma, Mohamed-Slim Alouini 2019 IEEE Cic International Conference on Communications in China Iccc 2019, 2019
Outage Performance of Underlay CR-NOMA Networks Sultangali Arzykulov, Galymzhan Nauryzbayev, Theodoros A. Tsiftsis, Mohamed Abdallah 2018 10th International Conference on Wireless Communications and Signal Processing Wcsp 2018, 2018
Broadcast underlay cognitive radio with dirty paper coding over fading channels 2017 10th International Conference on Electrical and Electronics Engineering Eleco 2017, 2017
Coverage Aspects of Indoor VLC Networks Alexander Vavoulas, Harilaos G. Sandalidis, Theodoros A. Tsiftsis, Nicholas Vaiopoulos Journal of Lightwave Technology, 2015
Investigation of a Waste Heat Recovery System for a more electric ship Charoula G. Zogogianni, Dionisis Voglitsis, Stefanos Saridakis, Stylianos P. Syrigos, Nick P. Papanikolaou, Anastasios Kyritsis, Michael Loupis, Theodoros A. Tsiftsis, Emmanuel C. Tatakis 2015 17th European Conference on Power Electronics and Applications EPE Ecce Europe 2015, 2015
Aggregation of Spectrum Opportunities Florian Kaltenberger, Theodoros A. Tsiftsis, Fotis Foukalas, Shuyu Ping, Oliver Holland Opportunistic Spectrum Sharing and White Space Access the Practical Reality, 2015
Inter-band carrier aggregation in heterogeneous networks: Design and assessment Georgia D. Ntouni, Alexandros-Apostolos A. Boulogeorgos, Dimitrios S. Karas, Theodoros A. Tsiftsis, Fotis Foukalas, Vasileios M. Kapinas, George K. Karagiannidis 2014 11th International Symposium on Wireless Communications Systems Iswcs 2014 Proceedings, 2014
New results for wireless multihop diversity systems 12th European Wireless Conference 2006 Enabling Technologies for Wireless Multimedia Communications European Wireless 2006, 2006
Performance of broadband multihop networks with cooperative diversity over fading channels Proceedings of the 5th International Network Conference INC 2005, 2005
Multihop communications with fixed-gain relays over generalized fading channels Globecom IEEE Global Telecommunications Conference, 2004
Dual hop wireless communications over nakagami fading IEEE Vehicular Technology Conference, 2004
High Efficient and Near-Optimal Binary Computation Offloading Strategy Based on Game Theory and Greedy Optimization L Liu, R Yao, X Zuo, AK Timotijevic, Y Fan, L Yu, TA Tsiftsis IEEE Internet of Things Journal , 2026 2026
Metaverse Framework for Wireless Systems Management I Chrysovergis, AAA Boulogeorgos, TA Tsiftsis, D Niyato IEEE Internet of Things Magazine , 2026 2026 Citations: 1
Towards Autonomous Driving with Short-Packet Rate Splitting: Age of Information Analysis and Optimization Z Zheng, Y Chen, X Pei, X Wang, Z Liu, TA Tsiftsis, M Wen, P Fan arXiv preprint arXiv:2604.13691 , 2026 2026
RSMA-enabled covert communications against multiple spatially random wardens X Pei, J Liu, X Luo, X Wang, Y Chen, M Wen, TA Tsiftsis IEEE Transactions on Vehicular Technology , 2026 2026 Citations: 2
Enhancing C-V2X with Blockchain and Zero-Knowledge Proofs for Improved Privacy, and Trustworthiness N Chen, CF Kwong, D Chieng, P Kar, C Yang, Q Liu, TA Tsiftsis, Y Chen IEEE Transactions on Vehicular Technology , 2026 2026
On the Joint Effect of Disorientation and Misalignment on LiDAR Systems AAA Boulogeorgos, SE Trevlakis, TA Tsiftsis, J Kokkoniemi, M Juntti IEEE Wireless Communications Letters , 2026 2026
Secure and Green RSMA-Assisted Heterogeneous ISAC X Li, R Yao, TA Tsiftsis, AAA Boulogeorgos IEEE Transactions on Vehicular Technology , 2026 2026
Speed-Aware Asynchronous Deep Reinforcement Learning for Joint Handover Parameter Adaptation in 5G and Beyond Networks C Shi, CF Kwong, Q Liu, Z Huang, Z Chu, TA Tsiftsis IEEE Communications Letters , 2026 2026 Citations: 1
Dataset for multi-perspective traffic video analysis R Sanchez-Iborra, V Kouvakis, SE Trevlakis, G Alarcon-Hellin, T Tsiftsis, ... Scientific Data , 2026 2026
Waveform Design for Partial-Time Superimposed ISAC Systems X Nan, R Yao, Y Fan, R Zhong, X Zuo, TA Tsiftsis, AAA Boulogeorgos IEEE Transactions on Green Communications and Networking , 2026 2026
Maneuverable-jamming-aided secure communication and sensing in A2G-ISAC systems L Lou, Y Liu, F Foukalas, H Lei, G Pan, TA Tsiftsis, H Liu arXiv preprint arXiv:2602.04209 , 2026 2026 Citations: 1
Towards Joint Optimization for UAV-Integrated RIS-Assisted Fluid Antenna Systems A Reda, T Mekkawy, TA Tsiftsis, CB Chae, KK Wong IEEE Transactions on Vehicular Technology , 2026 2026
Soris: A self-organized reconfigurable intelligent surface architecture for wireless communications E Koutsonas, AAA Boulogeorgos, SE Trevlakis, GC Alexandropoulos, ... IEEE Transactions on Green Communications and Networking 10, 1749-1764 , 2026 2026 Citations: 2
Backscatter-Assisted High-Speed Rail Communications in Straight Tunnel Environments: Effects of Tag Number and Phase Control Y Mu, G Wang, R He, TA Tsiftsis, S Atapattu, C Tellambura IEEE Wireless Communications Letters 15, 1160-1164 , 2025 2025
Performance evaluation of 5G NR NTN communication services over GovSatCom system V Basiouris, F Foukalas, T Tsiftsis 2025 IEEE Conference on Network Function Virtualization and Software-Defined … , 2025 2025
FedSemiSelf: A Hybrid Semi-Self-Supervised Federated Learning Framework F Filippou, F Foukalas, T Tsiftsis 2025 3rd International Conference on Federated Learning Technologies and … , 2025 2025
High-Fidelity Coherent-One-Way QKD Simulation Framework for 6G Networks: Bridging Theory and Reality A Brazaola-Vicario, V Kouvakis, SE Trevlakis, A Ruiz, AAA Boulogeorgos, ... IEEE Transactions on Network and Service Management , 2025 2025
Secure Short-Packet Communications for RIS-Assisted AAV Networks H Liu, J Luo, S Wang, F Wang, TA Tsiftsis, S Chatzinotas arXiv preprint arXiv:2509.14705 , 2025 2025 Citations: 1
Active RIS-Aided Full-Duplex Cell-free Massive MIMO for Mobile Wireless Networks of Limited Capacity S Kurma, K Singh, AAA Boulogeorgos, TA Tsiftsis, CP Li IEEE Transactions on Vehicular Technology , 2025 2025 Citations: 2
Integrated Channel Estimation and Phase Optimization in RIS-Assisted MIMO Network: an End-to-End Deep Learning Approach X Mu, H Liu, AAA Boulogeorgos, TA Tsiftsis, W Wang 2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio … , 2025 2025
MOST CITED SCHOLAR PUBLICATIONS
Optical wireless links with spatial diversity over strong atmospheric turbulence channels TA Tsiftsis, HG Sandalidis, GK Karagiannidis, M Uysal IEEE transactions on wireless communications 8 (2), 951-957 , 2009 2009 Citations: 593
A survey on spatial modulation in emerging wireless systems: Research progresses and applications M Wen, B Zheng, KJ Kim, M Di Renzo, TA Tsiftsis, KC Chen, N Al-Dhahir IEEE Journal on Selected Areas in Communications 37 (9), 1949-1972 , 2019 2019 Citations: 517
Optical wireless communications with heterodyne detection over turbulence channels with pointing errors HG Sandalidis, TA Tsiftsis, GK Karagiannidis Journal of lightwave technology 27 (20), 4440-4445 , 2009 2009 Citations: 499
An amateur drone surveillance system based on the cognitive Internet of Things G Ding, Q Wu, L Zhang, Y Lin, TA Tsiftsis, YD Yao IEEE Communications Magazine 56 (1), 29-35 , 2018 2018 Citations: 492
Free-space optical communication with nonzero boresight pointing errors F Yang, J Cheng, TA Tsiftsis IEEE Transactions on Communications 62 (2), 713-725 , 2014 2014 Citations: 489
BER performance of FSO links over strong atmospheric turbulence channels with pointing errors HG Sandalidis, TA Tsiftsis, GK Karagiannidis, M Uysal IEEE Communications Letters 12 (1), 44-46 , 2008 2008 Citations: 478
Bounds for multihop relayed communications in Nakagami-m fading GK Karagiannidis, TA Tsiftsis, RK Mallik IEEE Transactions on communications 54 (1), 18-22 , 2006 2006 Citations: 466
Secrecy performance analysis of RIS-aided wireless communication systems L Yang, J Yang, W Xie, MO Hasna, T Tsiftsis, M Di Renzo IEEE Transactions on Vehicular Technology 69 (10), 12296-12300 , 2020 2020 Citations: 448
Reconfigurable intelligent surface assisted two–way communications: Performance analysis and optimization S Atapattu, R Fan, P Dharmawansa, G Wang, J Evans, TA Tsiftsis IEEE Transactions on Communications 68 (10), 6552-6567 , 2020 2020 Citations: 376
Performance analysis of free-space optical communication systems over atmospheric turbulence channels HE Nistazakis, TA Tsiftsis, GS Tombras IET communications 3 (8), 1402-1409 , 2009 2009 Citations: 331
Private 5G networks: Concepts, architectures, and research landscape M Wen, Q Li, KJ Kim, D López-Pérez, OA Dobre, HV Poor, P Popovski, ... IEEE Journal of Selected Topics in Signal Processing 16 (1), 7-25 , 2021 2021 Citations: 262
Closed-form statistics for the sum of squared Nakagami-m variates and its applications GK Karagiannidis, NC Sagias, TA Tsiftsis IEEE Transactions on Communications 54 (8), 1353-1359 , 2006 2006 Citations: 240
Cellular-base-station-assisted device-to-device communications in TV white space G Ding, J Wang, Q Wu, YD Yao, F Song, TA Tsiftsis IEEE Journal on Selected Areas in Communications 34 (1), 107-121 , 2015 2015 Citations: 218
Energy Detection Based Spectrum Sensing Over and Extreme Fading Channels PC Sofotasios, E Rebeiz, L Zhang, TA Tsiftsis, D Cabric, S Freear IEEE Transactions on Vehicular Technology 62 (3), 1031-1040 , 2012 2012 Citations: 211
Multihop free-space optical communications over strong turbulence channels TA Tsiftsis, HG Sandalidis, GK Karagiannidis, NC Sagias 2006 IEEE international conference on communications 6, 2755-2759 , 2006 2006 Citations: 207
Resource allocation for energy harvesting-powered D2D communication underlaying UAV-assisted networks H Wang, J Wang, G Ding, L Wang, TA Tsiftsis, PK Sharma IEEE Transactions on Green Communications and Networking 2 (1), 14-24 , 2017 2017 Citations: 205
Physical-layer authentication for ambient backscatter-aided NOMA symbiotic systems X Li, Q Wang, M Zeng, Y Liu, S Dang, TA Tsiftsis, OA Dobre IEEE Transactions on Communications 71 (4), 2288-2303 , 2023 2023 Citations: 202
Nonregenerative dual-hop cooperative links with selection diversity TA Tsiftsis, GK Karagiannidis, PT Mathiopoulos, SA Kotsopoulos EURASIP Journal on Wireless Communications and Networking 2006 (1), 017862 , 2006 2006 Citations: 202
Wireless information and power transfer in relay systems with multiple antennas and interference G Zhu, C Zhong, HA Suraweera, GK Karagiannidis, Z Zhang, TA Tsiftsis IEEE Transactions on Communications 63 (4), 1400-1418 , 2015 2015 Citations: 170
Is backscatter link stronger than direct link in reconfigurable intelligent surface-assisted system? W Zhao, G Wang, S Atapattu, TA Tsiftsis, C Tellambura IEEE Communications Letters 24 (6), 1342-1346 , 2020 2020 Citations: 162