238 citations · 802 across the 40 of their papers we have counts for
16 papers · 1 filter
Universal Approximation of Linear Time-Invariant (LTI) Systems through RNNs: Power of Randomness in Reservoir Computing
Shashank Jere, Lizhong Zheng, Karim Said +1
Recurrent neural networks (RNNs) are known to be universal approximators of dynamic systems under fairly mild and general assumptions. However, RNNs usually suffer from the issues…
Learning to Estimate: A Real-Time Online Learning Framework for MIMO-OFDM Channel Estimation
Lianjun Li, Sai Sree Rayala, Jiarui Xu +2
In this paper we introduce StructNet-CE, a novel real-time online learning framework for MIMO-OFDM channel estimation, which only utilizes over-the-air (OTA) pilot symbols for onli…
DRL meets DSA Networks: Convergence Analysis and Its Application to System Design
Ramin Safavinejad, Hao-Hsuan Chang, Lingjia Liu
In dynamic spectrum access (DSA) networks, secondary users (SUs) need to opportunistically access primary users' (PUs) radio spectrum without causing significant interference. Sinc…
Bayesian Inference-assisted Machine Learning for Near Real-Time Jamming Detection and Classification in 5G New Radio (NR)
Shashank Jere, Ying Wang, Ishan Aryendu +2
The increased flexibility and density of spectrum access in 5G New Radio (NR) has made jamming detection and classification a critical research area. To detect coexisting jamming a…
Detect to Learn: Structure Learning with Attention and Decision Feedback for MIMO-OFDM Receive Processing
Jiarui Xu, Lianjun Li, Lizhong Zheng +1
The limited over-the-air (OTA) pilot symbols in multiple-input-multiple-output orthogonal-frequency-division-multiplexing (MIMO-OFDM) systems presents a major challenge for detecti…
Learning to Equalize OTFS
Zhou Zhou, Lingjia Liu, Jiarui Xu +1
Orthogonal Time Frequency Space (OTFS) is a novel framework that processes modulation symbols via a time-independent channel characterized by the delay-Doppler domain. The conventi…
Federated Dynamic Spectrum Access
Yifei Song, Hao-Hsuan Chang, Zhou Zhou +2
Due to the growing volume of data traffic produced by the surge of Internet of Things (IoT) devices, the demand for radio spectrum resources is approaching their limitation defined…
UAV Swarm-Enabled Aerial Reconfigurable Intelligent Surface
Bodong Shang, Rubayet Shafin, Lingjia Liu
Reconfigurable intelligent surface (RIS) offers tremendous spectrum and energy efficiency in wireless networks by adjusting the amplitudes and/or phases of passive reflecting eleme…
Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing
Zhou Zhou, Kangjun Bai, Nima Mohammadi +2
This article introduces a neural network-based signal processing framework for intelligent reflecting surface (IRS) aided wireless communications systems. By modeling radio-frequen…
Learning with Knowledge of Structure: A Neural Network-Based Approach for MIMO-OFDM Detection
Zhou Zhou, Shashank Jere, Lizhong Zheng +1
In this paper, we explore neural network-based strategies for performing symbol detection in a MIMO-OFDM system. Building on a reservoir computing (RC)-based approach towards symbo…
Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5G
Shashank Jere, Qiang Fan, Bodong Shang +2
Owing to the large volume of sensed data from the enormous number of IoT devices in operation today, centralized machine learning algorithms operating on such data incur an unbeara…
RCNet: Incorporating Structural Information into Deep RNN for MIMO-OFDM Symbol Detection with Limited Training
Zhou Zhou, Lingjia Liu, Shashank Jere +3
In this paper, we investigate learning-based MIMO-OFDM symbol detection strategies focusing on a special recurrent neural network (RNN) -- reservoir computing (RC). We first introd…
CogRF: A New Frontier for Machine Learning and Artificial Intelligence for 6G RF Systems
Tarun Cousik, Rubayet Shafin, Zhou Zhou +3
The concept of CogRF, a novel tunable radio frequency (RF) frontend that uses artificial intelligence (AI) to meet mission requirements for beyond 5G and 6G systems, is introduced.…
Learning for Detection: MIMO-OFDM Symbol Detection through Downlink Pilots
Zhou Zhou, Lingjia Liu, Hao-Hsuan Chang
Reservoir computing (RC) is a special recurrent neural network which consists of a fixed high dimensional feature mapping and trained readout weights. In this paper, we introduce a…
Self-Tuning Sectorization: Deep Reinforcement Learning Meets Broadcast Beam Optimization
Rubayet Shafin, Hao Chen, Young Han Nam +6
Beamforming in multiple input multiple output (MIMO) systems is one of the key technologies for modern wireless communication. Creating appropriate sector-specific broadcast beams…
Content-Aware User Association and Multi-User MIMO Beamforming over Mobile Edge Caching
Susanna Mosleh, Qiang Fan, Lingjia Liu +3
Mobile edge caching (MEC) has been introduced to support ever-growing end-users' needs. To reduce the backhaul traffic demand and content delivery latency, cache-enabled edge serve…