Reducing the PAPR in FBMC-OQAM systems with low-latency trellis-based SLM technique - Archive ouverte HAL Access content directly
Journal Articles EURASIP Journal on Advances in Signal Processing Year : 2016

Reducing the PAPR in FBMC-OQAM systems with low-latency trellis-based SLM technique

(1) , (1) , (1)
1

Abstract

The coexistence of broadband systems with currently deployed professional mobile radio (PMR) communication systems like public protection and disaster relief has gained much deserved attention. Recently, it has been shown that a conventional orthogonal frequency division multiplexing (OFDM)-based long-term evolution (LTE) system needs sufficient guard-band or additional filtering in order to coexist in a PMR band, even without considering the radio frequency (RF) impairments of the transmitter. In practice, it is imperative to take into account the RF impairments in radio communication systems, such as the non-linear (NL) nature of a high power amplifier (PA). This paper aims at investigating some enhanced multicarrier techniques allowing the coexistence of narrowband and broadband PMR systems that can support asynchronism, have low latency, and be able to be operated with NL devices. The simulation results show that a LTE-like post-OFDM broadband system working with NL PA devices can still coexist with legacy PMR systems with high spectrum and energy efficiencies when proper PA linearisation techniques are applied in combination with effective peak-to-average power ratio reduction methods.
Fichier principal
Vignette du fichier
81552332.pdf (1.11 Mo) Télécharger le fichier
Origin : Publisher files allowed on an open archive
Loading...

Dates and versions

hal-02448501 , version 1 (12-02-2020)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

S.S. Krishna Chaitanya Bulusu, Hmaied Shaiek, Daniel Roviras. Reducing the PAPR in FBMC-OQAM systems with low-latency trellis-based SLM technique. EURASIP Journal on Advances in Signal Processing, 2016, 2016 (1), ⟨10.1186/s13634-016-0429-9⟩. ⟨hal-02448501⟩
35 View
71 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More