Two-Stage Single-Relay Channel Model for In-Home Broadband PLC Systems

Filomeno, Mateus de L.; Colen, Guilherme R.; Oliveira, Lucas Giroto de; Ribeiro, Moisés V.

doi:10.1109/jsyst.2018.2852221

Cited by 10 publications

(2 citation statements)

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“…Several wireless and wired technologies are being introduced and deployed (e.g. 5G, Long Range (LoRA), SigFox, narrowband and broadband power line communication (PLC), visible light communication) [6,7] to cope with these growing telecommunications demands. Moreover, [8,9] show a tendency to enormous power consumption in the telecommunication sector.…”

Section: Introductionmentioning

confidence: 99%

The implementation of the clustered‐OFDM‐based transceiver on an FPGA device: A comprehensive comparison

et al. 2021

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Aiming at reducing hardware complexity and power consumption of multicarrier-based broadband transceivers, this contribution discusses and analyzes the implementation of clustered-orthogonal frequency division multiplexing (OFDM)-based transceiver in a field programmable gate array (FPGA) device. In this sense, several OFDM schemes covering baseband and passband data communications are implemented. The hardware resource utilization and power consumption related to each scheme, after being implemented in the FPGA device, are discussed and compared. Numerical results show that the OFDM scheme based on  (⋅)-II and (⋅)-III, which is a modified version of the hermitian symmetric (HS)-OFDM scheme, which performs both baseband and passband data communications, demands the lowest hardware resource utilization and power consumption, reducing to 1/3 the hardware resource utilization. As a result,  (⋅)-II and (⋅)-III constitute an interesting candidate for implementing new generations of high data rate, low hardware resource utilization, and low-power consumption clustered-OFDM-based transceivers for broadband data communication. Last but not least, numerical results show that the controllers used to integrate all components of a clustered-OFDM-based transceiver can demand sizeable hardware resource utilization and power consumption and, therefore, they have to be carefully designed. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Introductionmentioning

confidence: 99%

The implementation of the clustered‐OFDM‐based transceiver on an FPGA device: A comprehensive comparison

et al. 2021

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“…Energy harvesting techniques [49], [50] aim to exploit information that is also of interest in resource allocation techniques, which are energy of noise components and transmission power, in order to improve energy efficiency and creating self-sustainable data networks. Further examples are studies on cooperative communication [51], [52] and data communication through hybrid PLC-wireless channels [53], [54], which use optimal allocation via WF algorithm in order to evaluate system performance bounds.…”

Section: Introductionmentioning

confidence: 99%

Resource Allocation in HS-OFDM-based PLC Systems: A Tutorial

Oliveira

Colen

Vinck

et al. 2018

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This work organizes and discusses important information on resource allocation in power line communication (PLC) systems based on the Hermitian symmetric orthogonal frequency-division multiplexing scheme. In the context of this work, the term resource refers to bits and transmission power, which can be optimally or sub-optimally allocated to subcarriers on the basis of the knowledge of the normalized signal-tonoise ratio (nSNR) of power line subchannels. In this sense, we thoroughly discuss the formulation of the resource allocation for PLC systems and accordingly derive expressions for the nSNR as well as bit and transmission power allocation in all subchannels. Additionally, we precisely detail greedy algorithms to assist practitioners and researchers in the implementation of the resource allocation procedure. Considering a frequency-selective PLC channel corrupted by additive colored Gaussian noise as well as M-ary pulse amplitude modulation and quadrature amplitude modulation as modulation schemes, the influence of the gap from the Shannon capacity curve on symbol error rate probability is discussed. On top of the carried out discussion, numerical results are presented in order to emphasize the usefulness of a proper comprehension of this subject.

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