Recently, semantic communications are envisioned as a key enabler of future 6G networks. Back to Shannon's information theory, the goal of communication has long been to guarantee the correct reception of transmitted messages irrespective of their meaning. However, in general, whenever communication occurs to convey a meaning, what matters is the receiver's understanding of the transmitted message and not necessarily its correct reconstruction. Hence, semantic communications introduce a new paradigm: transmitting only relevant information sufficient for the receiver to capture the meaning intended can save significant communication bandwidth. Thus, this work explores the opportunity offered by semantic communications for beyond 5G networks. In particular, we focus on the benefit of semantic compression. We refer to semantic message as a sequence of well-formed symbols learned from the "meaning" underlying data, which have to be interpreted at the receiver. This requires a reasoning unit, here artificial, on a knowledge base: a symbolic knowledge representation of the specific application. Therefore, we present and detail a novel architecture that enables representation learning of semantic symbols for effective semantic communications. We first discuss theoretical aspects and successfully design objective functions, which help learn effective semantic encoders and decoders. Eventually, we show promising numerical results for the scenario of text transmission, especially when the sender and receiver speak different languages.
Knowledge Base Enabled Semantic Communication: A Generative Perspective
Shenzhen Future Network of Intelligence Institute (FNii-Shenzhen)（深圳未来智能网络研究院（深圳FNii））；School of Science and Engineering (SSE)（科学与工程学院）；The Chinese University of Hong Kong (Shenzhen)（香港中文大学（深圳））；Peng Cheng Laboratory（鹏城实验室）；Beijing University of Posts and Telecommunications（北京邮电大学）
Federated Latent Space Alignment for Multi-user Semantic Communications
DIAG Department, Sapienza University of Rome（罗马大学DIAG系）；Consorzio Nazionale Interuniversitario per le Telecomunicazioni (CNIT)（国家跨大学电信研究会）；CEA Leti, University Grenoble Alpes（CEA Leti，格勒诺布尔大学）；DIET Department, Sapienza University of Rome（罗马大学DIET系）
Semantic Communications: Principles and Challenges
Queen Mary University of London（伦敦玛丽女王大学）；Tsinghua University（清华大学）；Beijing National Research Center for Information Science and Technology（北京信息科学与技术国家研究中心）；Huawei Technologies（华为技术有限公司）；Imperial College London（帝国理工学院）
Less Data, More Knowledge: Building Next Generation Semantic Communication Networks
Virginia Tech（弗吉尼亚理工大学）；Technology Innovation Institute（技术创新研究院）；CentraleSupelec（巴黎中央理工-高等电力学院）；University Paris-Saclay（巴黎萨克雷大学）；University of Houston（休斯顿大学）；Kyung Hee University（庆熙大学）；Princeton University（普林斯顿大学）
Holographic Beamforming for Semantic Communication
Princeton University（普林斯顿大学）；Peking University Shenzhen Graduate School（北京大学深圳研究生院）；University of Cambridge（剑桥大学）；Peking University（北京大学）；University of Houston（休斯顿大学）；Kyung Hee University（庆熙大学）；Xiangtan University（湘潭大学）
Adaptive Resource Allocation for Semantic Communication Networks
Nanjing University of Posts and Telecommunications（南京邮电大学）；Nanjing University of Aeronautics and Astronautics（南京航空航天大学）；Zhejiang Lab（之江实验室）；Zhejiang University（浙江大学）；Tsinghua University（清华大学）
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications
Imperial College London（帝国理工学院）；Tsinghua University（清华大学）；Amazon（亚马逊）；Virginia Tech（弗吉尼亚理工学院）；Zhejiang Lab（之江实验室）；Zhejiang University（浙江大学）；The Ohio State University（俄亥俄州立大学）；University College London（伦敦大学学院）；Yonsei University（延世大学）
Imitation Learning-based Implicit Semantic-aware Communication Networks: Multi-layer Representation and Collaborative Reasoning
Huazhong University of Science and Technology（华中科技大学）；Peng Cheng Laboratory（鹏城实验室）；Pazhou Laboratory (Huangpu)（琶洲实验室（黄埔））；Xidian University（西安电子科技大学）；Nanyang Technological University（南洋理工大学）
Semantic Communication Enabled Holographic Video Processing and Transmission
Department of Electronic Engineering, Tsinghua University（清华大学电子工程系）；Beijing National Research Center for Information Science and Technology (BNRist)（北京信息科学与技术国家研究中心）；State Key Laboratory of Space Network and Communications（空间网络与通信国家重点实验室）；State Key Laboratory of Mobile Network and Mobile Multimedia Technology（移动网络与移动多媒体技术国家重点实验室）；ZTE Corporation（中兴通讯）；Department of Electrical and Computer Engineering, University of Houston（休斯顿大学电气与计算机工程系）；Department of Computer Science and Engineering, Kyung Hee University（庆熙大学计算机科学与工程系）；Institute for Communication Systems (ICS), 5G/6G Innovation Centre, University of Surrey（Surrey 大学通信系统研究所（ICS）、5G/6G 创新中心）；Faculty of Mathematics and Computer Science, Weizmann Institute of Science（魏兹曼科学研究院数学与计算机科学学院）
