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Faster-than-Nyquist (FTN) signaling and superimposed pilot (SP) techniques are effective solutions for significantly enhancing the spectral efficiency (SE) in next-generation wireless communication systems. This paper proposes an innovative…

Signal Processing · Electrical Eng. & Systems 2025-03-26 Simin Keykhosravi , Ebrahim Bedeer

In this work, we consider a typical three-node, two-way relaying network (TWRN) over fading channels. The aim is to minimize the entire system energy usage for a TWRN in the long run, while satisfying the required average symmetric exchange…

Information Theory · Computer Science 2016-11-17 Zhi Chen , Pin-Han Ho

Discrete representation has emerged as a powerful tool in task-oriented semantic communication (ToSC), offering compact, interpretable, and efficient representations well-suited for low-power edge intelligence scenarios. Its inherent…

Signal Processing · Electrical Eng. & Systems 2025-08-07 Anbang Zhang , Shuaishuai Guo , Chenyuan Feng , Hongyang Du , Haojin Li , Chen Sun , Haijun Zhang

Modulation recognition is a challenging task while performing spectrum sensing in a cognitive radio setup. Recently, the use of deep convolutional neural networks (CNNs) has shown to achieve state-of-the-art accuracy for modulation…

Signal Processing · Electrical Eng. & Systems 2018-03-06 Kumar Yashashwi , Amit Sethi , Prasanna Chaporkar

Point-to-multipoint communications are expected to play a pivotal role in next-generation networks. This paper refers to a cellular system transmitting layered multicast services to a multicast group of users. Reliability of communications…

Information Theory · Computer Science 2016-11-17 Andrea Tassi , Ioannis Chatzigeorgiou , Daniel E. Lucani

Two-way relaying is one of the major applications of broadband communication satellites, for which an efficient technique is Physical Layer Network Coding (PLNC). Earlier studies have considered satellites employing PLNC with onboard…

Information Theory · Computer Science 2017-03-14 Saket D. Buch , B. Sundar Rajan

Spiking neural networks (SNNs) are neural networks that enable energy-efficient signal processing due to their event-based nature. This paper proposes a novel decoding algorithm for low-density parity-check (LDPC) codes that integrates SNNs…

Signal Processing · Electrical Eng. & Systems 2024-10-16 Alexander von Bank , Eike-Manuel Edelmann , Sisi Miao , Jonathan Mandelbaum , Laurent Schmalen

In this paper, a new cooperation structure for spectrum sensing in cognitive radio networks is proposed which outperforms the existing commonly-used ones in terms of energy efficiency. The efficiency is achieved in the proposed design by…

Information Theory · Computer Science 2015-09-11 Younes Abdi , Tapani Ristaniemi

In this paper, we propose a novel linear physicallayer network coding (LPNC) for Rayleigh fading 2-way relay channels (2-WRC). Rather than the simple modulo-2 (bit-XOR) operation, the relay directly maps the superimposed signal of the two…

Information Theory · Computer Science 2012-11-05 Dong Fang , Alister Burr

As the next-generation wireless networks thrive, full-duplex and relay techniques are combined to improve the network performance. Random linear network coding (RLNC) is another popular technique to enhance the efficiency and reliability of…

Information Theory · Computer Science 2022-11-04 Rina Su , Qifu Tyler Sun , Zhongshan Zhang , Zongpeng Li

In this work we demonstrate an FPGA-based coherent optical frequency domain reflectometry setup for cable monitoring. Using coherent detection for averaging and narrowband filtering, we significantly improve the signal-to-noise ratio (SNR)…

Current optical coherent transponders technology is driving data rates towards 1 Tb/s/{\lambda}and beyond. This trend requires both high-performance coded modulation schemes and efficient implementation of the forward-error-correction (FEC)…

Signal Processing · Electrical Eng. & Systems 2020-07-15 Gabriele Liga , Bin Chen , Sjoerd van der Heide , Alireza Sheikh , Menno van der Hout , Chigo Okonkwo , Alex Alvarado

Predictive coding (PC) is an influential theory in computational neuroscience, which argues that the cortex forms unsupervised world models by implementing a hierarchical process of prediction error minimization. PC networks (PCNs) are…

Neural and Evolutionary Computing · Computer Science 2022-08-05 Beren Millidge , Yuhang Song , Tommaso Salvatori , Thomas Lukasiewicz , Rafal Bogacz

In this paper, we study a wireless packet broadcast system that uses linear network coding (LNC) to help receivers recover data packets that are missing due to packet erasures. We study two intertwined performance metrics, namely throughput…

Information Theory · Computer Science 2017-01-18 Mingchao Yu , Parastoo Sadeghi

Short message noisy network coding (SNNC) differs from long message noisy network coding (LNNC) in that one transmits many short messages in blocks rather than using one long message with repetitive encoding. Several properties of SNNC are…

Information Theory · Computer Science 2013-08-13 Jie Hou , Gerhard Kramer

Spectrum sensing, which aims at detecting spectrum holes, is the precondition for the implementation of cognitive radio (CR). Collaborative spectrum sensing among the cognitive radio nodes is expected to improve the ability of checking…

Information Theory · Computer Science 2015-11-23 Jia Meng , Wotao Yin , Husheng Li , Ekram Hossain , Zhu Han

In this paper, we present a novel approach to interference detection in 5G New Radio (5G-NR) networks using Convolutional Neural Networks (CNN). Interference in 5G networks challenges high-quality service due to dense user equipment…

Signal Processing · Electrical Eng. & Systems 2024-08-22 Desire Guel , Arsene Kabore , Didier Bassole

We consider efficient communications over the multiple-input multiple-output (MIMO) multiway distributed relay channel (MDRC) with full data exchange, where each user, equipped with multiple antennas, broadcasts its message to all the other…

Information Theory · Computer Science 2016-12-28 Xiang Zhao , Jianwen Zhang , Yingjun Zhang , Xiaojun Yuan

Network traffic classification is a core primitive for network security and management, yet it is increasingly challenged by pervasive encryption and evolving protocols. A central bottleneck is representation: hand-crafted flow statistics…

Networking and Internet Architecture · Computer Science 2026-02-10 Zhaochen Guo , Tianyufei Zhou , Honghao Wang , Ronghua Li , Shinan Liu

In this paper, we investigate the joint design of channel and network coding in bi-directional relaying systems and propose a combined low complexity physical network coding and LDPC decoding scheme. For the same LDPC codes employed at both…

Information Theory · Computer Science 2013-02-21 Kui Xu , Zhenxing Lv , Youyun Xu , Dongmei Zhang , Xinyi Zhong , Wenwen Liang
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