Guangyuan Zheng

Energy Efficiency Maximization in Hybrid Bit-Semantic Communication Networks

Guangyuan Zheng, Miaowen Wen, Yuankun Tang, Qianqian Wang et autres

cn, sg (code pays fourni par la source)

Enhancing generalized receive spatial modulation by symbol-level precoding: Design guidelines with or without intelligent reflecting surfaces

Miaowen Wen, Qiang Li, Guangyuan Zheng, Lixia Xiao

Existing Generalized Receive Spatial Modulation (GRSM) with Symbol-Level Precoding (SLP) forces the received signals (excluding noise) at unintended antennas to be zero, which restricts the generation of strong constructive interference to intended receive antennas and thus limits the performance improvement over conventional …

cn (code pays fourni par la source)

Trading Computing Power for Reducing Communication Loads: A Semantic Communication Perspective

Guangyuan Zheng, Miaowen Wen, Lexi Xu, Zhiguo Ding

As a new paradigm focusing on transmitting the meaning of information, semantic communications (SCs) have been revealed significant potential in alleviating network congestion and improving energy efficiency. By extracting a small-size semantic feature from the large-size raw-data, the communication loads can be …

cn, ae (code pays fourni par la source)

Computation-Aware Offloading for DNN Inference Tasks in Semantic Communication Assisted MEC Systems

Guangyuan Zheng, Miaowen Wen, Zhaolong Ning, Zhiguo Ding

In this paper, we focus on computation-aware offloading for executing deep neural network (DNN) inference tasks in a mobile edge computing (MEC) system. To cope with the challenges of insufficient wireless resources during task offloading, we resort to semantic communications (SCs), through …

ae, cn (code pays fourni par la source)

Exploiting Computation Dimension for Communication Improvement in Semantic Communication Networks

Guangyuan Zheng, Miaowen Wen, Xueqin Jiang, Zhiguo Ding

As a new paradigm focusing on transmitting the meaning of information, semantic communications (SCs) have revealed significant potential in alleviating network congestion and saving energy consumption. By extracting a small-size semantic feature from the large-size transmitted messages, the communication loads can be …

cn, ae (code pays fourni par la source)

Energy Efficient Computation Offloading for DNN Tasks in Semantic-Assisted Mobile Edge Computing Systems

Guangyuan Zheng, Miaowen Wen, Yiwei Tao, Qiang Li et autres

In this paper, we focus on semantic-aware computation offloading for executing the deep neural network (DNN) inference tasks in a mobile edge computing (MEC) system. To cope with the challenges of insufficient wireless resources during task offloading, we propose a compress-then-offload mode, …

cn, ae (code pays fourni par la source)

Joint Hybrid Precoding and Rate Allocation for RSMA in Near-Field and Far-Field Massive MIMO Communications

Guangyuan Zheng, Miaowen Wen, Jinming Wen, Chun Shan

In this letter, we propose to apply rate-splitting multiple access (RSMA) to improve the system’s spectral efficiency (SE) and manage the severe multi-user interference in the mixed near- and far-field communication system. Specifically, RSMA is utilized to serve all near-field and far-field …

cn (code pays fourni par la source)

Novel Over-the-Air Federated Learning via Reconfigurable Intelligent Surface and SWIPT

Guangyuan Zheng, Yuting Fang, Miaowen Wen, Zhiguo Ding

To provide sustainable energy support while meeting the demands for serving a rapidly increasing number of devices, in this paper, we propose a new Reconfigurable intelligent surface (RIS) Assisted simultaneous wireless information and Power transfer (SWIPT) and over-the-aIr computation (AirComp) feDerated learning …

cn, au, ae, gb (code pays fourni par la source)

Rate-Splitting Multiple Access in Wireless Backhaul HetNets: A Decentralized Spectral Efficient Approach

Guangyuan Zheng, Miaowen Wen, Yingyang Chen, Yik‐Chung Wu et autres

In this paper, we investigate the application of rate-splitting multiple access (RSMA) in a two-tier wireless backhaul heterogeneous network (HetNet), where a macro base station (MBS) simultaneously transmits wireless access signals to multiple macro-cell users (MCUs) and wireless backhaul signals to small …

cn, hk, us (code pays fourni par la source)

Joint Transmit Precoding and Rate Allocation for Rate-Splitting Multiple Access Based Wireless Backhaul HetNets

Guangyuan Zheng, Miaowen Wen, Yingyang Chen, Yik‐Chung Wu et autres

In this paper, we investigate the application of rate-splitting multiple access (RSMA) in a two-tier wireless backhaul heterogeneous network (HetNet), where a macro base station (MBS) simultaneously transmits wireless access signals to macro-cell users (MCUs) and wireless backhaul signals to small base …

cn, hk, us (code pays fourni par la source)

Service Caching Based Aerial Cooperative Computing and Resource Allocation in Multi-UAV Enabled MEC Systems

Guangyuan Zheng, Chen Guang Xu, Miaowen Wen, Xiongwen Zhao

Service caching refers to caching the necessary programs or/and the related databases for performing computational tasks at edge servers, which has been considered to save both computation and communication resources in mobile edge computing (MEC) systems. In this paper, we investigate computation …

cn (code pays fourni par la source)

Interference Exploitation for Ambient Backscatter Communication Networks via Symbol Level Precoding

Guangyuan Zheng, Miaowen Wen, Yingyang Chen, Shancheng Zhao et autres

Although ambient backscatter communications (AmBCs) are capable of achieving high spectrum- and energy-efficiency in numerous cutting-edge Internet-of-Things applications, the legacy user devices (UDs) will suffer from severe interference caused by the backscatter device (BD). In this letter, we leverage the symbol level …

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