publication . Conference object . Other literature type . 2017

Distributed Massive MIMO for Estimation of a Correlated Source Vector in Sensor Networks

Serra, Jordi; Pubill, David; Verikoukis, Christos;
Open Access English
  • Published: 18 Dec 2017
Abstract
Distributed massive MIMO (DM-MIMO) systems are a key enabler to improve the energy efficiency (EE) in future wireless networks. Thereby, herein this architecture is considered for the estimation of a correlated source vector in wireless sensor networks (WSN), where each sensor node amplifies and forwards its observation through a coherent Multiple Access Channel (MAC) channel. Namely, the fusion centre (FC) consists of a large number of distributed single antenna access points (AP) connected through a backhaul network to a central processing unit (CPU), where a Linear Minimum Mean Square Error (LMMSE) estimation is computed. Within this setting the exact and an ...
Subjects
free text keywords: Distributed Massive MIMO,, power allocation, estimation, sensor networks, Sensor node, Computer vision, Semidefinite programming, Minimum mean square error, Wireless sensor network, Communication channel, MIMO, Wireless network, Topology, Computer science, Artificial intelligence, business.industry, business, Backhaul (telecommunications)
Funded by
EC| IoSense
Project
IoSense
Flexible FE/BE Sensor Pilot Line for the Internet of Everything
  • Funder: European Commission (EC)
  • Project Code: 692480
  • Funding stream: H2020 | ECSEL-IA
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Conference object . 2017
Provider: ZENODO
Zenodo
Other literature type . 2017
Provider: Datacite
Zenodo
Other literature type . 2017
Provider: Datacite
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publication . Conference object . Other literature type . 2017

Distributed Massive MIMO for Estimation of a Correlated Source Vector in Sensor Networks

Serra, Jordi; Pubill, David; Verikoukis, Christos;