90 citations · 348 across the 53 of their papers we have counts for
53 papers
Holographic Beamforming for Semantic Communication
Shuhao Zeng, Haobo Zhang, Su Wang +5
Holographic beamforming enabled by metamaterial antennas has been proposed to facilitate spatial multiplexing at low hardware cost and low power consumption. However, existing holo…
Deep Reinforcement Learning Based Block Coordinate Descent for Downlink Weighted Sum-rate Maximization on AI-Native Wireless Networks
Siya Chen, Chee Wei Tan, H. Vincent Poor
This paper introduces a deep reinforcement learning-based block coordinate descent (DRL-based BCD) algorithm to address the nonconvex weighted sum-rate maximization (WSRM) problem…
Learning More with Less: A Generalizable, Self-Supervised Framework for Privacy-Preserving Capacity Estimation with EV Charging Data
Anushiya Arunan, Yan Qin, Xiaoli Li +3
Accurate battery capacity estimation is key to alleviating consumer concerns about battery performance and reliability of electric vehicles (EVs). However, practical data limitatio…
A New Class of Analog Precoding for Multi-Antenna Multi-User Communications over High-Frequency Bands
W. Zhu, H. D. Tuan, E. Dutkiewicz +2
A network relying on a large antenna-array-aided base station is designed for delivering multiple information streams to multi-antenna users over high-frequency bands such as the m…
Holographic Multi-User Multi-Stream Beamforming Maintaining Rate-Fairness
W. Zhu, H. D. Tuan, E. Dutkiewicz +2
We present the first investigation into the transmission of multi-stream information from a base station equipped with reconfigurable holographic surfaces (RHS) to multiple users w…
Optimal Sizing and Control of a Grid-Connected Battery in a Stacked Revenue Model Including an Energy Community
Tudor Octavian Pocola, Valentin Robu, Jip Rietveld +5
Recent years have seen rapid increases in intermittent renewable generation, requiring novel battery energy storage systems (BESS) solutions. One recent trend is the emergence of l…
Towards AI-Driven RANs for 6G and Beyond: Architectural Advancements and Future Horizons
Mathushaharan Rathakrishnan, Samiru Gayan, Rohit Singh +4
It is envisioned that 6G networks will be supported by key architectural principles, including intelligence, decentralization, interoperability, and digitalization. With the advanc…
Trellis Waveform Shaping for Sidelobe Reduction in Integrated Sensing and Communications: A Duality with PAPR Mitigation
Henglin Pu, Husheng Li, Zhu Han +1
A key challenge in integrated sensing and communications (ISAC) is the synthesis of waveforms that can modulate communication messages and achieve good sensing performance simultan…
Revisiting Near-Far Field Boundary in Dual-Polarized XL-MIMO Systems
Shuhao Zeng, Boya Di, Hongliang Zhang +2
Extremely large-scale multiple-input multiple-output (XL-MIMO) is expected to be an important technology in future sixth generation (6G) networks. Compared with conventional single…
Collaborative Inference over Wireless Channels with Feature Differential Privacy
Mohamed Seif, Yuqi Nie, Andrea J. Goldsmith +1
Collaborative inference among multiple wireless edge devices has the potential to significantly enhance Artificial Intelligence (AI) applications, particularly for sensing and comp…
Building Resilience in Wireless Communication Systems With a Secret-Key Budget
Karl-Ludwig Besser, Rafael F. Schaefer, H. Vincent Poor
Resilience and power consumption are two important performance metrics for many modern communication systems, and it is therefore important to define, analyze, and optimize them. I…
Statistical Delay and Error-Rate Bounded QoS Provisioning for AoI-Driven 6G Satellite-Terrestrial Integrated Networks Using FBC
Jingqing Wang, Wenchi Cheng, H. Vincent Poor
As one of the pivotal enablers for 6G, satellite-terrestrial integrated networks have emerged as a solution to provide extensive connectivity and comprehensive 3D coverage across t…
Distributed Stochastic Gradient Descent with Staleness: A Stochastic Delay Differential Equation Based Framework
Siyuan Yu, Wei Chen, H. Vincent Poor
Distributed stochastic gradient descent (SGD) has attracted considerable recent attention due to its potential for scaling computational resources, reducing training time, and help…
Decentralized Federated Learning Over Imperfect Communication Channels
Weicai Li, Tiejun Lv, Wei Ni +3
This paper analyzes the impact of imperfect communication channels on decentralized federated learning (D-FL) and subsequently determines the optimal number of local aggregations p…
Differentially Private Online Community Detection for Censored Block Models: Algorithms and Fundamental Limits
Mohamed Seif, Liyan Xie, Andrea J. Goldsmith +1
We study the private online change detection problem for dynamic communities, using a censored block model (CBM). We consider edge differential privacy (DP) in both local and centr…
Neuromorphic Split Computing with Wake-Up Radios: Architecture and Design via Digital Twinning
Jiechen Chen, Sangwoo Park, Petar Popovski +2
Neuromorphic computing leverages the sparsity of temporal data to reduce processing energy by activating a small subset of neurons and synapses at each time step. When deployed for…
Cooperative Backscatter Communications with Reconfigurable Intelligent Surfaces: An APSK Approach
Qiang Li, Yehuai Feng, Miaowen Wen +4
In this paper, a novel amplitude phase shift keying (APSK) modulation scheme for cooperative backscatter communications aided by a reconfigurable intelligent surface (RIS-CBC) is p…
Block-Sparse Tensor Recovery
Liyang Lu, Zhaocheng Wang, Zhen Gao +2
This work explores the fundamental problem of the recoverability of a sparse tensor being reconstructed from its compressed embodiment. We present a generalized model of block-spar…
Learning Based Dynamic Cluster Reconfiguration for UAV Mobility Management with 3D Beamforming
Irshad A. Meer, Karl-Ludwig Besser, Mustafa Ozger +3
In modern cell-less wireless networks, mobility management is undergoing a significant transformation, transitioning from single-link handover management to a more adaptable multi-…
Acceleration Estimation of Signal Propagation Path Length Changes for Wireless Sensing
Jiacheng Wang, Hongyang Du, Dusit Niyato +3
As indoor applications grow in diversity, wireless sensing, vital in areas like localization and activity recognition, is attracting renewed interest. Indoor wireless sensing relie…
Reinforcement Learning Based Dynamic Power Control for UAV Mobility Management
Irshad A. Meer, Karl-Ludwig Besser, Mustafa Ozger +2
Modern communication systems need to fulfill multiple and often conflicting objectives at the same time. In particular, new applications require high reliability while operating at…
A Comprehensive Survey of Wireless Time-Sensitive Networking (TSN): Architecture, Technologies, Applications, and Open Issues
Kouros Zanbouri, Md. Noor-A-Rahim, Jobish John +3
Time-sensitive networking (TSN) is expected to be a key component of critical machine-type communication networks in areas such as Industry 4.0, robotics and autonomous vehicles. W…
Beamforming Design for Active RIS-Aided Over-the-Air Computation
Deyou Zhang, Ming Xiao, Mikael Skoglund +1
Over-the-air computation (AirComp) is emerging as a promising technology for wireless data aggregation. However, its performance is hampered by users with poor channel conditions.…
Modelling the Formation of Peer-to-Peer Trading Coalitions and Prosumer Participation Incentives in Transactive Energy Communities
Ying Zhang, Valentin Robu, Sho Cremers +5
Peer-to-peer (P2P) energy trading and energy communities have garnered much attention over in recent years due to increasing investments in local energy generation and storage asse…