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Exploiting FDD Channel Reciprocity for Physical Layer Secret Key Generation in IoT Networks

IEEE Communications Letters
The utilization of physical layer Secret Key Generation (SKG) is increasingly prevalent in securing wireless communication within Internet of Things systems, particularly in Narrow-band IoT.
Ehsan Olyaei Torshizi, Werner Henkel
semanticscholar   +1 more source

Directional Training for FDD Massive MIMO

IEEE Transactions on Wireless Communications, 2018
A key challenge for frequency-division duplexing (FDD) massive multi-input multi-output (MIMO) is the large overhead in acquiring channel state information (CSI) for transmits beamforming. In this paper, we propose a scalable method called directional training to obtain downlink CSI.
Xing Zhang 0011   +2 more
openaire   +1 more source

UTRA FDD Mode

2002
This chapter provides a detailed description of the UTRA FDD mode. In the first section the key parameters are listed as a reference. A short section on the system architecture, the layer structure of the radio interface and its interworking with higher layers, and the bearer services provided in UMTS follows.
Andreas Springer, Robert Weigel
openaire   +1 more source

UTRA/FDD RF Transceiver Requirements

Wireless Personal Communications, 2002
Unified RF requirements are derived for an UMTS Terrestrial Radio Access/Frequency Division Duplex (UTRA/FDD) compliant mobile transceiver. A set of transceiver requirements are proposed with consideration to system issues including duplex aspects. From these design-compatible requirements are proposed for each functional block in the transceiver.
Per Madsen   +8 more
openaire   +1 more source

VAVAC systems modeling and simulation for FDD applications

2011 9th IEEE International Conference on Control and Automation (ICCA), 2011
Faulty operation of HVAC systems can lead to discomfort for the occupants, energy wastage, unreliability and shorter equipment life. Cost-effective Fault Detection and Diagnosis (FDD) methods can therefore ensure an increase in the system uptime, reliability, and overall efficiency.
BEGHI, ALESSANDRO   +3 more
openaire   +1 more source

Deep Autoencoder Based CSI Feedback With Feedback Errors and Feedback Delay in FDD Massive MIMO Systems

IEEE Wireless Communications Letters, 2019
In this letter, we study the channel state information (CSI) feedback based on the deep autoencoder (AE) considering the feedback errors and feedback delay in the frequency division duplex massive multiple-input multiple-output system.
Y. Jang   +4 more
semanticscholar   +1 more source

Information-Theoretic Pilot Design for Downlink Channel Estimation in FDD Massive MIMO Systems

IEEE Transactions on Signal Processing, 2019
Massive multiple-input multiple-output (MIMO) is one of the most promising techniques for next generation wireless communications due to its superior capability to provide high spectrum and energy efficiency. Considering the very large number of antennas
Yujie Gu, Yimin D. Zhang
semanticscholar   +1 more source

Tracking FDD Massive MIMO Downlink Channels by Exploiting Delay and Angular Reciprocity

IEEE Journal on Selected Topics in Signal Processing, 2019
The massive multiple-input multiple-output (MIMO) technology considerably enhances the spectral efficiency of a wireless communication system. However, it suffers from substantial performance degradation caused by the movement of users and the difficulty
Yu Han   +4 more
semanticscholar   +1 more source

Performance of a WCDMA FDD Cellular Multihop Network

2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications, 2006
Cellular multihop networks have the potential to decrease power consumption, increase coverage and/or enable higher data rates. We propose using in-band transmissions for the connection between a fixed repeating device and the cellular base station. A user connected via the repeater use one frequency band (fq2) for the communication to the repeater and
Robert S. Karlsson   +3 more
openaire   +1 more source

Investigation on Multi-Antenna Technologies Evolution from FDD LTE to NR FDD

2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2021
Jinge Guo   +5 more
openaire   +1 more source

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