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相关论文: Distributed Transmit Beamforming using Feedback Co…

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Classical beamforming techniques rely on highly linear transmitters and receivers to allow phase-coherent combining at the transmitter and receiver. The transmitter uses beamforming to steer signal power towards the receiver, and the…

信息论 · 计算机科学 2018-02-15 Kang Gao , J. Nicholas Laneman , Bertrand Hochwald

We propose, analyze and demonstrate an architecture for scalable cooperative reception. In a cluster of N + 1 receive nodes, one node is designated as the final receiver, and the N other nodes act as amplify-and-forward relays which adapt…

信息论 · 计算机科学 2016-11-17 Francois Quitin , Andrew T. Irish , Upamanyu Madhow

A distributed antenna system is studied whose goal is to provide data communication and positioning functionalities to Mobile Stations (MSs). Each MS receives data from a number of Base Stations (BSs), and uses the received signal not only…

信息论 · 计算机科学 2014-04-30 Seongah Jeong , Osvaldo Simeone , Alexander Haimovich , Joonhyuk Kang

Transmit beamforming is a versatile technique for signal transmission from an array of $N$ antennas to one or multiple users [1]. In wireless communications, the goal is to increase the signal power at the intended user and reduce…

信息论 · 计算机科学 2014-07-22 Emil Björnson , Mats Bengtsson , Björn Ottersten

Base station cooperation improves the sum-rates that can be achieved in cellular systems. Conventional cooperation techniques require sharing large amounts of information over finite-capacity backhaul links and assume that base stations…

信息论 · 计算机科学 2009-12-08 Ramya Bhagavatula , Robert W. Heath

We present an adaptive approach for synchronizing both the phase and frequency of radio-frequency transceivers over long-range wireless links to support distributed antenna array applications. To enable distributed beamforming between…

信号处理 · 电气工程与系统科学 2020-09-14 Serge R. Mghabghab , Anton Schlegel , Jeffrey A. Nanzer

We consider a network of agents that locate themselves in an environment through sensor measurements and aim to transmit a message signal to a base station via collaborative beamforming. The agents' sensor measurements result in…

信号处理 · 电气工程与系统科学 2021-03-19 Erfaun Noorani , Yagiz Savas , Alec Koppel , John Baras , Ufuk Topcu , Brian M. Sadler

In this paper, we consider multiple channels and wireless nodes with multiple transceivers. Each node assigns one transmitter at each available channel. For each assigned transmitter the node decides the power level and data rate of…

动力系统 · 数学 2011-10-31 Themistoklis Charalambous

Via collaborative beamforming, nodes in a wireless network are able to transmit a common message over long distances in an energy efficient fashion. However, the process of making available the same message to all collaborating nodes…

信息论 · 计算机科学 2016-11-17 Lun Dong , Athina P. Petropulu , H. Vincent Poor

This work considers distributed sensing and transmission of sporadic random samples. Lower bounds are derived for the reconstruction error of a single normally or uniformly-distributed finite-dimensional vector imperfectly measured by a…

信息论 · 计算机科学 2015-11-20 Ayşe Ünsal , Raymond Knopp

Feedback of quantized channel state information (CSI), called limited feedback, enables transmit beamforming in multiple-input-multiple-output (MIMO) wireless systems with a small amount of overhead. Due to its efficiency, beamforming with…

信息论 · 计算机科学 2008-05-05 Kaibin Huang , Robert W. Heath , Jeffrey G. Andrews

We consider a wireless sensor network, consisting of N heterogeneous sensors and a fusion center (FC), tasked with solving a binary distributed detection problem. Sensors communicate directly with the FC over orthogonal fading channels.…

信号处理 · 电气工程与系统科学 2021-08-25 Ghazaleh Ardeshiri , Azadeh Vosoughi

We implement and experimentally demonstrate a 60 GHz distributed system leveraging an optical time synchronization system that provides precise time and frequency alignment between independent elements of the distributed mesh. Utilizing…

Transmit beamforming is a simple multi-antenna technique for increasing throughput and the transmission range of a wireless communication system. The required feedback of channel state information (CSI) can potentially result in excessive…

信息论 · 计算机科学 2015-05-14 Kaibin Huang , Vincent K. N. Lau , Dongku Kim

This letter proposes a novel distributed compressed estimation scheme for sparse signals and systems based on compressive sensing techniques. The proposed scheme consists of compression and decompression modules inspired by compressive…

信息论 · 计算机科学 2015-02-05 S. Xu , R. C. de Lamare , H. V. Poor

A new approach to distributed syntonization (frequency alignment) for the coordination of nodes in open loop coherent distributed antenna arrays to enable distributed beamforming is presented. This approach makes use of the concept of…

信号处理 · 电气工程与系统科学 2019-11-25 Hassna Ouassal , Ming Yan , Jeffrey A. Nanzer

Recognising the limitations of various existing channel-estimation schemes for energy beamforming, we propose an energy-preserving indirect feedback-based approach for finding the optimal beamforming vector. Upon elaborating on the key…

信号处理 · 电气工程与系统科学 2023-07-25 Siddhartha Sarma , Rahul Shrestha , Rohit B. Chaurasiya

In this article we consider the problems of distributed detection and estimation in wireless sensor networks. In the first part, we provide a general framework aimed to show how an efficient design of a sensor network requires a joint…

分布式、并行与集群计算 · 计算机科学 2013-07-08 Sergio Barbarossa , Stefania Sardellitti , Paolo Di Lorenzo

The beamforming techniques have been recently studied as possible enablers for underlay spectrum sharing. The existing beamforming techniques have several common limitations: they are usually system model specific, cannot operate with…

The performance of collaborative beamforming is analyzed using the theory of random arrays. The statistical average and distribution of the beampattern of randomly generated phased arrays is derived in the framework of wireless ad hoc…

信息论 · 计算机科学 2016-08-31 Hideki Ochiai , Patrick Mitran , H. Vincent Poor , Vahid Tarokh