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相关论文: Over-the-Air Fronthaul Signaling for Uplink Cell-F…

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We propose a novel resource efficient analog over-the-air (OTA) computation framework to address the demanding requirements of the uplink (UL) fronthaul between the access points (APs) and the central processing unit (CPU) in cell-free…

信息论 · 计算机科学 2023-11-15 Zakir Hussain Shaik , Sai Subramanyam Thoota , Emil Björnson , Erik G. Larsson

To improve the capacity and coverage of current cellular networks, many advanced technologies such as massive MIMO, inter-cell coordination, small cells, device-to-device communications, and so on, are under studying. Many proposed…

信息论 · 计算机科学 2013-11-13 Chunliang Yang

Over-the-Air (OTA) computation is the problem of computing functions of distributed data without transmitting the entirety of the data to a central point. By avoiding such costly transmissions, OTA computation schemes can achieve a…

信息论 · 计算机科学 2022-07-13 Matthias Frey , Igor Bjelakovic , Slawomir Stanczak

Most works on cell-free massive multiple-input multiple-output (MIMO) consider non-cooperative precoding strategies at the base stations (BSs) to avoid extensive channel state information (CSI) exchange via backhaul signaling. However,…

信息论 · 计算机科学 2020-10-14 Italo Atzeni , Bikshapathi Gouda , Antti Tölli

Cell-free massive MIMO is emerging as a promising technology for future wireless communication systems, which is expected to offer uniform coverage and high spectral efficiency compared to classical cellular systems. We study in this paper…

信号处理 · 电气工程与系统科学 2023-09-19 Houssem Sifaou , Geoffrey Ye Li

The emerging concept of Over-the-Air (OtA) computation has shown great potential for achieving resource-efficient data aggregation across large wireless networks. However, current research in this area has been limited to the standard…

信息论 · 计算机科学 2023-05-15 Zheng Chen , Yura Malitsky

6G and beyond networks will merge communication and computation capabilities in order to adapt to changes. As they will consist of many sensors gathering information from its environment, new schemes for managing these large amounts of data…

信号处理 · 电气工程与系统科学 2023-06-29 Marc Martinez-Gost , Ana Pérez-Neira

Cell-free massive MIMO systems have promising data rate and uniform coverage gains. These systems, however, typically rely on optical fiber based fronthaul for the communication between the central processing unit (CPU) and the distributed…

信息论 · 计算机科学 2022-08-09 Umut Demirhan , Ahmed Alkhateeb

In response to the increasing number of devices expected in next-generation networks, a shift to over-the-air (OTA) computing has been proposed. By leveraging the superposition of multiple access channels, OTA computing enables efficient…

Cell-free massive multiple-input-multiple-output (mMIMO) is an emerging technology for beyond 5G with its promising features such as higher spectral efficiency and superior spatial diversity as compared to conventional…

信息论 · 计算机科学 2020-12-29 Zakir Hussain Shaik , Emil Björnson , Erik G. Larsson

Federated edge learning (FEEL) enables wireless devices to collaboratively train a centralised model without sharing raw data, but repeated uplink transmission of model updates makes communication the dominant bottleneck. Over-the-air (OTA)…

信息论 · 计算机科学 2025-12-24 Antonio Tarizzo , Mohammad Kazemi , Deniz Gündüz

Recently, Over-the-Air (OTA) computation has emerged as a promising federated learning (FL) paradigm that leverages the waveform superposition properties of the wireless channel to realize fast model updates. Prior work focused on the OTA…

机器学习 · 计算机科学 2024-04-01 Muhammad Faraz Ul Abrar , Nicolò Michelusi

We propose a novel quadrature over-the-air computing (Q-OTAC) framework that enables the simultaneously computation of two independent functions and/or data stream within a single transmission. In contrast to conventional OTAC schemes,…

信号处理 · 电气工程与系统科学 2026-02-05 Hyeon Seok Rou , Kengo Ando , Giuseppe Thadeu Freitas de Abreu , David González G

Wireless devices are expected to provide a wide range of AI services in 6G networks. The increasing computing capabilities of wireless devices and the surge of wireless data motivate the use of privacy-preserving federated learning (FL). In…

信号处理 · 电气工程与系统科学 2025-01-31 Chen Chen , Emil Björnson , Carlo Fischione

Cell-free massive MIMO (multiple-input multiple-output) enhances spectral and energy efficiency compared to conventional cellular networks by enabling joint transmission and reception across a large number of distributed access points…

信号处理 · 电气工程与系统科学 2026-02-10 Özlem Tuğfe Demir , Emil Björnson

With the evolution of multiple-input multiple-output (MIMO) technology toward extremely large (XL) MIMO systems comprising hundreds of, or more, antennas, this work investigates scalable and fronthaul-efficient reception design for the…

信号处理 · 电气工程与系统科学 2026-04-24 Dogon Kim , Hyunmin Noh , Seok-Hwan Park

Over-the-air federated learning (OTA-FL) offers an exciting new direction over classical FL by averaging model weights using the physics of analog signal propagation. Since each participant broadcasts its model weights concurrently in time…

Future wireless systems are trending towards higher carrier frequencies that offer larger communication bandwidth but necessitate the use of large antenna arrays. Existing signal processing techniques for channel estimation do not scale…

信号处理 · 电气工程与系统科学 2022-05-26 Akash Doshi , Manan Gupta , Jeffrey G. Andrews

This paper explores the application of uplink fronthaul compression techniques within Open RAN (O-RAN) to mitigate fronthaul load in decentralized distributed MIMO (DD-MIMO) systems. With the ever-increasing demand for high data rates and…

信号处理 · 电气工程与系统科学 2025-07-08 Mostafa Rahmani , Junbo Zhao , Vida Ranjbar , Ahmed Al-Tahmeesschi , Hamed Ahmadi , Sofie Pollin , Alister G. Burr

LTE femtocells have been widely deployed to increase network capacity and to offload mobile data traffic from macrocells. While cellular users' mobility behaviors are taken into consideration, a dilemma is formed: Should a User Equipment…

网络与互联网体系结构 · 计算机科学 2016-07-14 Wei-Han Chen , Yi Ren , Chia-Wei Chang , Jyh-Cheng Chen
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