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This paper investigates generic signal shaping methods for multiple-data-stream generalized spatial modulation (GenSM) and generalized quadrature spatial modulation (GenQSM) based on the maximizing the minimum Euclidean distance (MMED)…

Signal Processing · Electrical Eng. & Systems 2019-01-29 Shuaishuai Guo , Haixia Zhang , Peng Zhang , Shuping Dang , Liang Cong , Mohamed-Slim Alouini

Graph based codes such as low density parity check (LDPC) codes have been shown promising for the information reconciliation phase in quantum key distribution (QKD). However, existing graph coding schemes have not fully utilized the…

Information Theory · Computer Science 2020-01-06 Siyi Yang , Murat Can Sarihan , Kai-Chi Chang , Chee Wei Wong , Lara Dolecek

This paper proposes a method for simultaneous segmentation of multi-source images, using the multivariate mixture model (MvMM) and maximum of log-likelihood (LL) framework. The segmentation is a procedure of texture classification, and the…

Computer Vision and Pattern Recognition · Computer Science 2021-07-20 Xiahai Zhuang

Large Language Models (LLMs) are increasingly deployed in multi-agent systems, where effective inter-model communication is crucial. Existing communication protocols either rely on natural language, incurring high inference costs and…

Machine Learning · Computer Science 2026-02-24 Xiangyu Shi , Marco Chiesa , Gerald Q. Maguire , Dejan Kostic

Coherent Space-Time Shift Keying (CSTSK) is a recently developed generalized shift-keying framework for Multiple-Input Multiple-Output systems, which uses a set of Space-Time matrices termed as Dispersion Matrices (DM). CSTSK may be…

Information Theory · Computer Science 2012-10-10 Rakshith Rajashekar , K. V. S. Hari , L. Hanzo

Massive machine type communication (mMTC) has attracted new coding schemes optimized for reliable short message transmission. In this paper, a novel deep learning-based near-orthogonal superposition (NOS) coding scheme is proposed to…

Information Theory · Computer Science 2022-07-01 Chenghong Bian , Chin-Wei Hsu , Changwoo Lee , Hun-Seok Kim

We consider multi-user semantic communications over broadcast channels. While most existing works consider that each receiver requires either the same or independent semantic information, this paper explores the scenario where the semantic…

Information Theory · Computer Science 2024-06-13 Yufei Bo , Shuo Shao , Meixia tao

This paper studies a Shannon-theoretic version of the generalized distribution preserving quantization problem where a stationary and memoryless source is encoded subject to a distortion constraint and the additional requirement that the…

Information Theory · Computer Science 2015-07-10 Naci Saldi , Tamás Linder , Serdar Yüksel

Joint encryption-encoding schemes have been released to fulfill both reliability and security desires in a single step. Using Low Density Parity Check (LDPC) codes in joint encryption-encoding schemes, as an alternative to classical linear…

Information Theory · Computer Science 2019-02-22 Hossein Khayami , Taraneh Eghlidos , Mohammad Reza Aref

We prove that the ensemble the nested coset codes built on finite fields achieves the capacity of arbitrary discrete memoryless point-to-point channels. Exploiting it's algebraic structure, we develop a coding technique for communication…

Information Theory · Computer Science 2022-03-02 Arun Padakandla , Sandeep Pradhan

Effective task-oriented semantic communications relies on perfect knowledge alignment between transmitters and receivers for accurate recovery of task-related semantic information, which can be susceptible to knowledge misalignment and…

Signal Processing · Electrical Eng. & Systems 2025-01-06 Hong Chen , Fang Fang , Xianbin Wang

Cross-technology communication (CTC) is a promising technique that enables direct communications among incompatible wireless technologies without needing hardware modification. However, it has not been widely adopted in real-world…

Information Theory · Computer Science 2024-02-16 Shumin Yao , Xiaodong Xu , Hao Chen , Yaping Sun , Qinglin Zhao

Generative semantic communication models are reshaping semantic communication frameworks by moving beyond pixel-wise optimization to align with human perception. However, many existing approaches prioritize image-level perceptual quality,…

Signal Processing · Electrical Eng. & Systems 2025-04-08 Kailang Ye , Mingze Gong , Shuoyao Wang , Daquan Feng

Recently deep learning-based image compression methods have achieved significant achievements and gradually outperformed traditional approaches including the latest standard Versatile Video Coding (VVC) in both PSNR and MS-SSIM metrics. Two…

Image and Video Processing · Electrical Eng. & Systems 2024-02-13 Haisheng Fu , Feng Liang , Jianping Lin , Bing Li , Mohammad Akbari , Jie Liang , Guohe Zhang , Dong Liu , Chengjie Tu , Jingning Han

Immersive video, such as virtual reality (VR) and multi-view videos, is growing in popularity. Its wireless streaming is an instance of general multicast, extending conventional unicast and multicast, whose effective design is still open.…

Information Theory · Computer Science 2022-06-17 Lingzhi Zhao , Ying Cui , Sheng Yang , Shlomo Shamai

Coded multicasting has been shown to improve the caching performance of content delivery networks with multiple caches downstream of a common multicast link. However, the schemes that have been shown to achieve order-optimal perfor- mance…

Information Theory · Computer Science 2015-11-25 Mingyue Ji , Karthikeyan Shanmugam , Giuseppe Vettigli , Jaime Llorca , Antonia M. Tulino , Giuseppe Caire

This paper considers the achievable rates and decoding complexity of low-density parity-check (LDPC) codes over statistically independent parallel channels. The paper starts with the derivation of bounds on the conditional entropy of the…

Information Theory · Computer Science 2007-07-13 Igal Sason , Gil Wiechman

We consider the problem of polar coding for transmission over $m$-user multiple access channels. In the proposed scheme, all users encode their messages using a polar encoder, while a joint successive cancellation decoder is deployed at the…

Information Theory · Computer Science 2016-11-17 Hessam Mahdavifar , Mostafa El-Khamy , Jungwon Lee , Inyup Kang

Grassmannian codes are known to be useful in error-correction for random network coding. Recently, they were used to prove that vector network codes outperform scalar linear network codes, on multicast networks, with respect to the alphabet…

Information Theory · Computer Science 2019-02-11 Tuvi Etzion , Hui Zhang

Cloud-radio access networks (C-RAN) help overcoming the scarcity of radio resources by enabling dense deployment of base-stations (BSs), and connecting them to a central-processor (CP). This paper considers the downlink of a C-RAN, where…

Information Theory · Computer Science 2019-04-23 Alaa Alameer Ahmad , Hayssam Dahrouj , Anas Chaaban , Aydin Sezgin , Mohamed-Slim Alouini