Improved ACE method for reducing PAPR in OFDM system

Kashyap, Pranav; Thakur, Khushal

doi:10.1109/icicct.2018.8473009

Cited by 2 publications

(3 citation statements)

References 16 publications

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“…Precoding solutions targeting better BER, improved sum rates & at the same time reduced complexity should be targeted in future. Induction of OFDM & exploration of related problems [16][17][18] will be interesting in massive MIMO systems.…”

Section: Discussionmentioning

confidence: 99%

“…The analog precoding can be expressed mathematically as ( 15) represents the phase corresponding to the element of the conjugate transposed channel at a location (i, j). Thus, the overall channel H now becomes ( 16) The PZF is then implemented as ( 17) Where is a diagonal matrix for power normalization Precoding algorithm selected in this paper for BER analysis is as given below…”

Section: Precoder Designmentioning

confidence: 99%

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BER Analysis of Hybrid Precoded Massive MIMO Systems in Downlink with Receiver Beamforming over mmwave Channels

2019

IJITEE

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Next generation networks are required to deliver extremely high data rates in order to enable mission critical services, massive IoT and enhanced mobile broadband. In the pursuit of high data rates, significant research is focused on higher frequency bands. mmWaves are the most promising carriers because of their associated bandwidth benefits. However, on the other hand, mmWaves also bring along difficulties in link management as the channel is totally different from the traditional systems. This paper evaluates the BER performance of mmWave-massive MIMO systems with Hybrid precoding and receiver beamforming. The availability of perfect CSI at both the transmitting and receiving ends of the downlink is assumed. The results demonstrate that BER performance at low SNR region remains almost exclusive of the system dimensions as long as CSI is available. It was observed that almost 20 dB SNR is required to achieve error performance of 10-5 . Zero forcing and Wiener Filter precoder are also evaluated against each other with analog precoding and receiver beamforming

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Section: Discussionmentioning

confidence: 99%

Section: Precoder Designmentioning

confidence: 99%

BER Analysis of Hybrid Precoded Massive MIMO Systems in Downlink with Receiver Beamforming over mmwave Channels

2019

IJITEE

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“…These factors include the specific constellation design, Signal-to-Noise Ratio (SNR), and channel impairments. When selecting and optimizing extended constellation points, a balance must be struck between reducing the PAPR and maintaining BER performance [ 131 , 132 ]. In some situations, expanding constellation points can introduce additional signal distortions, which could potentially lead to an increased BER.…”

Section: Classical Papr Reduction Approachesmentioning

confidence: 99%

A Survey of PAPR Techniques Based on Machine Learning

da Silva,

Souto,

Souza

et al. 2024

Sensors

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Orthogonal Frequency Division Multiplexing (OFDM) is the modulation technology used in Fourth Generation (4G) and Fifth Generation (5G) wireless communication systems, and it will likely be essential to Sixth Generation (6G) wireless communication systems. However, OFDM introduces a high Peak to Average Power Ratio (PAPR) in the time domain due to constructive interference among multiple subcarriers, increasing the complexity and cost of the amplifiers and, consequently, the cost and complexity of 6G networks. Therefore, the development of new solutions to reduce the PAPR in OFDM systems is crucial to 6G networks. The application of Machine Learning (ML) has emerged as a promising avenue for tackling PAPR issues. Along this line, this paper presents a comprehensive review of PAPR optimization techniques with a focus on ML approaches. From this survey, it becomes clear that ML solutions offer customized optimization, effective search space navigation, and real-time adaptability. In light of the demands of evolving 6G networks, integration of ML is a necessity to propel advancements and meet increasing prerequisites. This integration not only presents possibilities for PAPR reduction but also calls for continued exploration to harness its potential and ensure efficient and reliable communication within 6G networks.

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Improved ACE method for reducing PAPR in OFDM system

Cited by 2 publications

References 16 publications

BER Analysis of Hybrid Precoded Massive MIMO Systems in Downlink with Receiver Beamforming over mmwave Channels

BER Analysis of Hybrid Precoded Massive MIMO Systems in Downlink with Receiver Beamforming over mmwave Channels

A Survey of PAPR Techniques Based on Machine Learning

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