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We consider the problem of energy-efficient point-to-point transmission of delay-sensitive data (e.g. multimedia data) over a fading channel. Existing research on this topic utilizes either physical-layer centric solutions, namely…

机器学习 · 计算机科学 2017-03-29 Nicholas Mastronarde , Mihaela van der Schaar

In reconfigurable intelligent surface (RIS)-assisted wireless communication systems, the pointing accuracy and intensity of reflections depend crucially on the 'profile,' representing the amplitude/phase state information of all elements in…

信号处理 · 电气工程与系统科学 2023-09-12 Wei Wang , Peizheng Li , Angela Doufexi , Mark A Beach

Distribution network reconfiguration (DNR) has proved to be an economical and effective way to improve the reliability of distribution systems. As optimal network configuration depends on system operating states (e.g., loads at each node),…

系统与控制 · 电气工程与系统科学 2023-05-03 Mukesh Gautam , Narayan Bhusal , Mohammed Benidris

The large number of antennas in massive MIMO systems allows the base station to communicate with multiple users at the same time and frequency resource with multi-user beamforming. However, highly correlated user channels could drastically…

信息论 · 计算机科学 2023-09-15 Qing An , Santiago Segarra , Chris Dick , Ashutosh Sabharwal , Rahman Doost-Mohammady

This letter investigates the reconfigurable intelligent surface (RIS)-assisted multiple-input single-output (MISO) wireless system, where both half-duplex (HD) and full-duplex (FD) operating modes are considered together, for the first time…

信号处理 · 电气工程与系统科学 2021-10-12 Alice Faisal , Ibrahim Al-Nahhal , Octavia A. Dobre , Telex M. N. Ngatched

The emerging technology of Reconfigurable Intelligent Surfaces (RISs) is provisioned as an enabler of smart wireless environments, offering a highly scalable, low-cost, hardware-efficient, and almost energy-neutral solution for dynamic…

In this paper, we propose a federated deep reinforcement learning framework to solve a multi-objective optimization problem, where we consider minimizing the expected long-term task completion delay and energy consumption of IoT devices.…

网络与互联网体系结构 · 计算机科学 2021-04-26 Sheyda Zarandi , Hina Tabassum

In this paper, dynamic non-cooperative coexistence between a cognitive pulsed radar and a nearby communications system is addressed by applying nonlinear value function approximation via deep reinforcement learning (Deep RL) to develop a…

信号处理 · 电气工程与系统科学 2020-08-28 Charles E. Thornton , Mark A. Kozy , R. Michael Buehrer , Anthony F. Martone , Kelly D. Sherbondy

As networks evolve towards 6G, Mobile Network Operators (MNOs) must accommodate diverse requirements and at the same time manage rising energy consumption. Integrated Access and Backhaul (IAB) networks facilitate dense cellular deployments…

Millions of battery-powered sensors deployed for monitoring purposes in a multitude of scenarios, e.g., agriculture, smart cities, industry, etc., require energy-efficient solutions to prolong their lifetime. When these sensors observe a…

机器学习 · 计算机科学 2021-09-30 Jernej Hribar , Andrei Marinescu , Alessandro Chiumento , Luiz A. DaSilva

Next-gen networks require significant evolution of management to enable automation and adaptively adjust network configuration based on traffic dynamics. The advent of software-defined networking (SDN) and programmable switches enables…

网络与互联网体系结构 · 计算机科学 2024-02-08 Akshita Abrol , Purnima Murali Mohan , Tram Truong-Huu

Space-air-ground integrated network (SAGIN) is a new type of wireless network mode. The effective management of SAGIN resources is a prerequisite for high-reliability communication. However, the storage capacity of space-air network segment…

网络与互联网体系结构 · 计算机科学 2022-02-07 Chao Wang , Lei Liu , Chunxiao Jiang , Shangguang Wang , Peiying Zhang , Shigen Shen

Recently, Cloud-based Radio Access Network (C-RAN) has been proposed as a potential solution to reduce energy cost in cellular networks. C-RAN centralizes the baseband processing capabilities of Base Stations (BSs) in a cloud computing…

信息论 · 计算机科学 2016-08-25 Qiang Fan , Hancheng Lu , Wei Jiang , Peilin Hong , Jun Wu , Chang Wen Chen

Link Adaptation (LA) that dynamically adjusts the Modulation and Coding Schemes (MCS) to accommodate time-varying channels is crucial and challenging in cellular networks. Deep reinforcement learning (DRL)-based LA that learns to make…

网络与互联网体系结构 · 计算机科学 2026-03-03 Lizhao You , Nanqing Zhou , Guanglong Pang , Jiajie Huang , Yulin Shao , Liqun Fu

Power grid load scheduling is a critical task that ensures the balance between electricity generation and consumption while minimizing operational costs and maintaining grid stability. Traditional optimization methods often struggle with…

机器学习 · 计算机科学 2024-10-24 Dongwen Luo

Effective resource management and network slicing are essential to meet the diverse service demands of vehicular networks, including Enhanced Mobile Broadband (eMBB) and Ultra-Reliable and Low-Latency Communications (URLLC). This paper…

This paper proposes a three-dimensional (3D) geometry-based channel model to accurately represent intelligent reflecting surfaces (IRS)-enhanced integrated sensing and communication (ISAC) networks using rate-splitting multiple access…

信息论 · 计算机科学 2025-01-28 Zhangfeng Ma , Ruichen Zhang , Bo Ai , Zhuxian Lian , Linzhou Zeng , Dusit Niyato

The Open Radio Access Network (Open RAN) paradigm, and its reference architecture proposed by the O-RAN Alliance, is paving the way toward open, interoperable, observable and truly intelligent cellular networks. Crucial to this evolution is…

网络与互联网体系结构 · 计算机科学 2025-10-08 Raoul Raftopoulos , Salvatore D'Oro , Tommaso Melodia , Giovanni Schembra

Integrated Access and Backhaul (IAB) has been recently proposed by 3GPP to enable network operators to deploy fifth generation (5G) mobile networks with reduced costs. In this paper, we propose to use IAB to build a dynamic wireless…

5G beyond is an end-edge-cloud orchestrated network that can exploit heterogeneous capabilities of the end devices, edge servers, and the cloud and thus has the potential to enable computation-intensive and delay-sensitive applications via…

机器学习 · 计算机科学 2020-11-19 Yueyue Dai , Ke Zhang , Sabita Maharjan , Yan Zhang