Overlap Sliding Window Algorithm for Better BER in Turbo Decoding

Overlap Sliding Window Algorithm for Better BER in Turbo Decoding

Pushpa Velu, Ranganathan Hariharan, Palanivelan M.
ISSN: 2640-4249|EISSN: 2640-4257|EISBN13: 9781799809111|DOI: 10.4018/IJMDWTFE.2021010101
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MLA

Velu, Pushpa, et al. "Overlap Sliding Window Algorithm for Better BER in Turbo Decoding." IJMDWTFE vol.11, no.1 2021: pp.1-25. http://doi.org/10.4018/IJMDWTFE.2021010101

APA

Velu, P., Hariharan, R., & Palanivelan M. (2021). Overlap Sliding Window Algorithm for Better BER in Turbo Decoding. International Journal of Mobile Devices, Wearable Technology, and Flexible Electronics (IJMDWTFE), 11(1), 1-25. http://doi.org/10.4018/IJMDWTFE.2021010101

Chicago

Velu, Pushpa, Ranganathan Hariharan, and Palanivelan M. "Overlap Sliding Window Algorithm for Better BER in Turbo Decoding," International Journal of Mobile Devices, Wearable Technology, and Flexible Electronics (IJMDWTFE) 11, no.1: 1-25. http://doi.org/10.4018/IJMDWTFE.2021010101

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Abstract

With the proliferation of smartphones and exchange of voluminous data through them, it becomes essential for service providers to deliver quality multimedia through the network even at low signal-to-noise ratio (SNR) situations for extended battery life. For meeting this requirement, the stress is on finding attractive coding schemes that can deliver high data rates with good bit error rate (BER) at low SNR levels. Turbo codes were the mainstay up to 3G networks. Currently, LDPC codes are being recognized as the codes that can deliver the data rates required for 4G and beyond. Sliding window algorithm addressed the problem of high latency and the requirement of a large number of devices with MAP algorithm to a greater extent, and it is in use for turbo decoding. But it suffers degraded BER, especially at low SNR levels. The proposed overlap sliding window (OLSW) algorithm can offer better BER with expected marginal degradation in terms of device requirements, keeping the same latency.

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