A Novel Tone Reservation Scheme Based on Deep Learning for PAPR Reduction in OFDM Systems

2020 ◽  
Vol 24 (6) ◽  
pp. 1271-1274
Author(s):  
Benwei Wang ◽  
Qintuya Si ◽  
Minglu Jin
Keyword(s):  
Deep Learning ◽  
Papr Reduction ◽  
Ofdm Systems ◽  
Tone Reservation

PAPR Reduction Based on Parallel Tabu Search for Tone Reservation in OFDM Systems

2019 ◽  
Vol 8 (2) ◽  
pp. 576-579 ◽  
Author(s):  
Yajun Wang ◽  
Renjie Zhang ◽  
Jun Li ◽  
Feng Shu
Keyword(s):  
Tabu Search ◽  
Papr Reduction ◽  
Ofdm Systems ◽  
Tone Reservation ◽  
Parallel Tabu Search

scholarly journals Algorithm Based New Tone Reservation Method for Mitigating PAPR in OFDM Systems

2017 ◽  
Vol 63 (3) ◽  
pp. 293-298 ◽  
Author(s):  
Tanmoy Saha ◽  
Shreyasi Chakrabarty ◽  
Subhankar Bhattacharjee ◽  
Sanjib Sil
Keyword(s):  
Low Complexity ◽  
Papr Reduction ◽  
Ofdm Systems ◽  
Tone Reservation ◽  
Ofdm Signals

AbstractThere are abundant methods to mitigate PAPR in OFDM signals among which algorithm based tone reservation is of great popularity owing to its low complexity as well as decent BER. Here we have put forward a new distinct algorithm based Tone Reservation technique which is not only less complex and calculates its own threshold as well as PRT signal (unlike other algorithms requiring predetermined threshold and PRT) but also aptly modifies the data by bit by bit comparison with a modified copy of itself (algorithm modified) thus scaling the peaks as and providing a decent BER and good PAPR reduction.

scholarly journals Optimization of Tone Reservation-Based PAPR Reduction for OFDM Systems

2017 ◽  
Vol 26 (3) ◽  
pp. 791-797 ◽  
Author(s):  
B. Horvath ◽  
B. Botlik
Keyword(s):  
Papr Reduction ◽  
Ofdm Systems ◽  
Tone Reservation
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