Search Results - "IEEE transactions on signal processing"

Deep Learning Enabled Semantic Communication Systems by Xie, Huiqiang, Qin, Zhijin, Li, Geoffrey Ye, Juang, Biing-Hwang

“…Recently, deep learned enabled end-to-end communication systems have been developed to merge all physical layer blocks in the traditional communication…”
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Robust Aggregation for Federated Learning by Pillutla, Krishna, Kakade, Sham M., Harchaoui, Zaid

“…We present a novel approach to federated learning that endows its aggregation process with greater robustness to potential poisoning of local data or model…”
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Fractional Programming for Communication Systems-Part I: Power Control and Beamforming by Shen, Kaiming, Yu, Wei

“…Fractional programming (FP) refers to a family of optimization problems that involve ratio term(s). This two-part paper explores the use of FP in the design…”
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Learning to Optimize: Training Deep Neural Networks for Interference Management by Sun, Haoran, Chen, Xiangyi, Shi, Qingjiang, Hong, Mingyi, Fu, Xiao, Sidiropoulos, Nicholas D.

“…Numerical optimization has played a central role in addressing key signal processing (SP) problems. Highly effective methods have been developed for a large…”
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A Framework of Robust Transmission Design for IRS-Aided MISO Communications With Imperfect Cascaded Channels by Zhou, Gui, Pan, Cunhua, Ren, Hong, Wang, Kezhi, Nallanathan, Arumugam

“…Intelligent reflection surface (IRS) has recently been recognized as a promising technique to enhance the performance of wireless systems due to its ability of…”
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CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters by Levie, Ron, Monti, Federico, Bresson, Xavier, Bronstein, Michael M.

“…The rise of graph-structured data such as social networks, regulatory networks, citation graphs, and functional brain networks, in combination with resounding…”
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Tensor Decomposition for Signal Processing and Machine Learning by Sidiropoulos, Nicholas D., De Lathauwer, Lieven, Xiao Fu, Kejun Huang, Papalexakis, Evangelos E., Faloutsos, Christos

“…Tensors or multiway arrays are functions of three or more indices (i, j, k, . . . )-similar to matrices (two-way arrays), which are functions of two indices…”
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Beyond Massive MIMO: The Potential of Data Transmission With Large Intelligent Surfaces by Sha Hu, Rusek, Fredrik, Edfors, Ove

“…In this paper, we consider the potential of data transmission in a system with a massive number of radiating and sensing elements, thought of as a contiguous…”
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Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview by Yuejie Chi, Lu, Yue M., Yuxin Chen

“…Substantial progress has been made recently on developing provably accurate and efficient algorithms for low-rank matrix factorization via nonconvex…”
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Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar by Liu, Xiang, Huang, Tianyao, Shlezinger, Nir, Liu, Yimin, Zhou, Jie, Eldar, Yonina C.

“…Future wireless communication systems are expected to explore spectral bands typically used by radar systems, in order to overcome spectrum congestion of…”
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Reconfigurable Intelligent Surfaces for Localization: Position and Orientation Error Bounds by Elzanaty, Ahmed, Guerra, Anna, Guidi, Francesco, Alouini, Mohamed

“…Next-generation cellular networks could witness the creation of smart radio environments (SREs), where walls and objects will be coated with reconfigurable…”
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Massive Connectivity With Massive MIMO-Part I: Device Activity Detection and Channel Estimation by Liu, Liang, Yu, Wei

“…This two-part paper considers an uplink massive device communication scenario in which a large number of devices are connected to a base station (BS), but user…”
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Cramér-Rao Bound Optimization for Joint Radar-Communication Beamforming by Liu, Fan, Liu, Ya-Feng, Li, Ang, Masouros, Christos, Eldar, Yonina C.

“…In this paper, we propose multi-input multi-output (MIMO) beamforming designs towards joint radar sensing and multi-user communications. We employ the…”
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Learning to Detect by Samuel, Neev, Diskin, Tzvi, Wiesel, Ami

“…In this paper, we consider multiple-input-multiple-output detection using deep neural networks. We introduce two different deep architectures: a standard fully…”
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Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning by Ying Sun, Babu, Prabhu, Palomar, Daniel P.

“…This paper gives an overview of the majorization-minimization (MM) algorithmic framework, which can provide guidance in deriving problem-driven algorithms with…”
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Direction-of-Arrival Estimation for Coprime Array via Virtual Array Interpolation by Zhou, Chengwei, Gu, Yujie, Fan, Xing, Shi, Zhiguo, Mao, Guoqiang, Zhang, Yimin D.

“…Coprime arrays can achieve an increased number of degrees of freedom by deriving the equivalent signals of a virtual array. However, most existing methods fail…”
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Model-Driven Deep Learning for MIMO Detection by He, Hengtao, Wen, Chao-Kai, Jin, Shi, Li, Geoffrey Ye

“…In this paper, we investigate the model-driven deep learning (DL) for MIMO detection. In particular, the MIMO detector is specially designed by unfolding an…”
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Toward Dual-functional Radar-Communication Systems: Optimal Waveform Design by Liu, Fan, Zhou, Longfei, Masouros, Christos, Li, Ang, Luo, Wu, Petropulu, Athina

“…We focus on a dual-functional multi-input-multi-output (MIMO) radar-communication (RadCom) system, where a single transmitter with multiple antennas…”
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Convolutional Neural Network Architectures for Signals Supported on Graphs by Gama, Fernando, Marques, Antonio G., Leus, Geert, Ribeiro, Alejandro

“…Two architectures that generalize convolutional neural networks (CNNs) for the processing of signals supported on graphs are introduced. We start with the…”
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Intelligent Reflecting Surface Aided Multigroup Multicast MISO Communication Systems by Zhou, Gui, Pan, Cunhua, Ren, Hong, Wang, Kezhi, Nallanathan, Arumugam

“…Intelligent reflecting surface (IRS) has recently been envisioned to offer unprecedented massive multiple-input multiple-output (MIMO)-like gains by deploying…”
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