Search Results - "Modulation and coding"

Optical Communication in Space: Challenges and Mitigation Techniques by Kaushal, Hemani, Kaddoum, Georges

“…In recent years, free space optical (FSO) communication has gained significant importance owing to its unique features: large bandwidth, license free spectrum,…”
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Throughput Modeling and Validation of MIMO Terminals With Adaptive MCS and Layers by Wei, Jianchuan, Huang, Xiaoyu, Qian, Bingyi, Zhang, Liuyang, Zhang, Aofang, Wei, Kunpeng, Chen, Xiaoming

“…Throughput modeling in multiple-input multiple-output (MIMO) systems have attracted widespread attentions. Nevertheless, the current throughput model is…”
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Underwater Optical Wireless Communication by Kaushal, Hemani, Kaddoum, Georges

“…Underwater wireless information transfer is of great interest to the military, industry, and the scientific community, as it plays an important role in…”
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Massive MIMO Adaptive Modulation and Coding Using Online Deep Learning Algorithm by Bobrov, Evgeny, Kropotov, Dmitry, Lu, Hao, Zaev, Danila

“…The letter describes an online deep learning algorithm (ODL) for adaptive modulation and coding in massive MIMO. The algorithm is based on a fully connected…”
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Adaptive Modulation and Coding Technology in 5G System by Wang, Yue, Liu, Wei, Fang, Linquan

“…Internet of Things(IoT) makes everything intelligently possible. In the IoT era, the application of products such as smart cities and smart homes will provide…”
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Adaptive Modulation and Coding for Underwater Acoustic OFDM by Wan, Lei, Zhou, Hao, Xu, Xiaoka, Huang, Yi, Zhou, Shengli, Shi, Zhijie, Cui, Jun-Hong

“…Underwater acoustic channels are fast varying spatially and temporally according to environmental conditions. Adaptive modulation and coding (AMC) is appealing…”
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Reinforcement Learning for Efficient and Tuning-Free Link Adaptation by Saxena, Vidit, Tullberg, Hugo, Jalden, Joakim

“…Wireless links adapt the data transmission parameters to the dynamic channel state - this is called link adaptation . Classical link adaptation relies on…”
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Nonlinearity-Tolerant Four-Dimensional 2A8PSK Family for 5–7 Bits/Symbol Spectral Efficiency by Kojima, Keisuke, Yoshida, Tsuyoshi, Koike-Akino, Toshiaki, Millar, David S., Parsons, Kieran, Pajovic, Milutin, Arlunno, Valeria

“…We describe in detail the recently proposed four-dimensional modulation format family based on 2-ary amplitude 8-ary phase-shift keying (2A8PSK), supporting…”
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Toward Throughput Optimization: A Congestion Control Scheme for CAM Delivery via NR Sidelink by Fu, Qiang, Liu, Jiajia, Wang, Jiadai, Kong, Jun

“…In the new radio (NR) vehicle-to-everything (V2X), congestion control (CC) is adopted to reduce channel occupancy and improve delivery performance. However,…”
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A cross-layer scheduling algorithm with QoS support in wireless networks by Qingwen Liu, Xin Wang, Giannakis, G.B.

“…Scheduling plays an important role in providing quality of service (QoS) support to multimedia communications in various kinds of wireless networks, including…”
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FAS Meets OFDM: Enabling Wideband 5G NR by Hong, Hanjiang, Wong, Kai-Kit, Li, Haoyang, Xu, Hao, Xiao, Han, Shin, Hyundong, Tong, Kin-Fai, Zhang, Yangyang

“…Fluid antenna system (FAS) is an emerging technology that uses the new form of shape- and position-reconfigurable antennas to empower the physical layer for…”
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Deep Reinforcement Learning Based Link Adaptation Technique for LTE/NR Systems by Ye, Xiaowen, Yu, Yiding, Fu, Liqun

“…Outdated channel quality indicator (CQI) feedback causes severe performance degradation of traditional link adaptation (LA) techniques in long term evolution…”
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CNN-Based Joint SNR and Doppler Shift Classification Using Spectrogram Images for Adaptive Modulation and Coding by Kojima, Shun, Maruta, Kazuki, Feng, Yi, Ahn, Chang-Jun, Tarokh, Vahid

“…This paper proposes a novel convolutional neural network (CNN) based joint classification method to characterize the signal-to-noise power ratio (SNR) and…”
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DeepReceiver: A Deep Learning-Based Intelligent Receiver for Wireless Communications in the Physical Layer by Zheng, Shilian, Chen, Shichuan, Yang, Xiaoniu

“…A canonical wireless communication system consists of a transmitter and a receiver. The information bit stream is transmitted after coding, modulation, and…”
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DQN-Based Adaptive MCS and SDM for 5G Massive MIMO-OFDM Downlink by Liao, Yong, Yang, Zhijing, Yin, Zisong, Shen, Xuanfan

“…In this letter, we propose a deep Q-network (DQN)-based joint adaptive scheduling algorithm of modulation and coding scheme (MCS) and space division…”
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Fairness-Aware Optimal Power and Discrete Rate Adaptation for K-User NOMA With Imperfect SIC and Adaptive Decoding Order by Sruthy, S., Mehta, Neelesh B.

“…Practical physical layer limitations such as discrete rate adaptation and imperfect successive interference cancellation (SIC) fundamentally alter the spectral…”
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Multi-Connectivity for URLLC and Coexistence With eMBB in Time-Varying and Frequency-Selective Fading Channels by Kesava, Govindu Sai, Mehta, Neelesh B.

“…Multi-connectivity enables a 5G cellular system to meet the challenging reliability requirements of downlink ultra-reliable low-latency communication (URLLC)…”
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Adaptive Modulation and Coding for Underwater Acoustic OTFS Communications Based on Meta-Learning by Jing, Lianyou, Dong, Chaofan, He, Chengbing, Shi, Wentao, Wang, Han, Zhou, Yi

“…This letter proposes an adaptive modulation and coding (AMC) scheme based on deep learning for underwater acoustic (UWA) communications. To achieve good…”
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Recognition of error correcting codes based on CNN with block mechanism and embedding by Li, Sida, Zhou, Jing, Huang, Zhiping, Hu, Xiaochang

“…An error correcting code type recognition technique based on a deep learning approach is proposed in this paper. This problem could be addressed in the context…”
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How Can Optical Communications Shape the Future of Deep Space Communications? A Survey by Karmous, Sarah, Adem, Nadia, Atiquzzaman, Mohammed, Samarakoon, Sumudu

“…With a large number of deep space (DS) missions anticipated by the end of this decade, reliable and high-capacity DS communications are needed more than ever…”
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