Results 11 to 20 of about 51,577 (270)
Journal of Automation and Intelligence, 2023 Two novel spline adaptive filtering (SAF) algorithms are proposed by combining different iterative gradient methods, i.e., Adagrad and RMSProp, named SAF-Adagrad and SAF-RMSProp, in this paper.
Sihai Guan, Bharat Biswal
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A deep learning‐based low complexity approach for joint transceiver beamforming
IET Communications, 2022 In this paper, massive multiple‐input‐multiple‐output (MIMO) wireless communication systems are considered to investigate joint transceiver beamforming. A base station (BS) equipped with a uniform planar array (UPA) serves several multi‐antennas users in
Yibiao Wang +4 more
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Sensors, 2022 Unsourced random access (URA) has emerged as a pragmatic framework for next-generation distributed sensor networks. Within URA, concatenated coding structures are often employed to ensure that the central base station can accurately recover the set of ...
Vamsi K. Amalladinne +3 more
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Estimating the Number of Wideband Radio Sources [PDF]
Journal of Electrical and Computer Engineering Innovations, 2016 In this paper, a new approach for estimating the number of wideband sources is proposed which is based on RSS or ISM algorithms. Numerical results show that the MDL-based and EIT-based proposed algorithm havea much better detection performance than that ...
S. Jalaei, S. Shirvani Moghaddam
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Partially-Connected Hybrid Beamforming for Multi-User Massive MIMO Systems
IEEE Access, 2020 Due to the high power consumption and hardware cost of radio frequency (RF) chains, the conventional fully-digital beamforming will be impractical for large-scale antenna systems (LSAS).
Guangda Zang +4 more
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Design of Group Precoding for MU-MIMO Systems with Exponential Spatial Correlation Channel [PDF]
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2021 In this paper, a low-complexity precoding algorithm is proposed to reduce the computational complexity and improve the performance for MU-MIMO systems under exponential spatial correlation channel conditions.
Van-Khoi Dinh +3 more
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Low-Complexity Multi-User Detection Based on Gradient Information for Uplink Grant-Free NOMA
IEEE Access, 2020 Massive machine type communication (mMTC) serves an irreplaceable role in the development process of the Internet of Things (IoT). Because of its characteristics of massive connection and sporadic transmission, compressed sensing (CS) has been applied in
Fang Jiang +4 more
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Local Alignment of DNA Sequence Based on Deep Reinforcement Learning
IEEE Open Journal of Engineering in Medicine and Biology, 2021 Goal: Over the decades, there have been improvements in the sequence alignment algorithm, with significant advances in various aspects such as complexity and accuracy. However, human-defined algorithms have an explicit limitation in view of developmental
Yong-Joon Song, Dong-Ho Cho
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Remote Sensing, 2023 Modern radar signal processing techniques make strong use of compressed sensing, affine rank minimization, and robust principle component analysis. The corresponding reconstruction algorithms should fulfill the following desired properties: complex ...
Reinhard Panhuber
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Journal of Engineering, 2022 Massive multiple input multiple output (massive MIMO) is a key technology in fifth-generation (5G) and beyond fifth-generation (B5G) networks. It improves performance metrics such as gain, energy efficiency, spectral efficiency, and bit error rate (BER).
Zelalem Melak Gebeyehu +3 more
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