WiMAX physical layer optimization by implementing SOVA Decoding algorithm

Kene, Jagdish D.; Kulat, K. D.

doi:10.1109/cscita.2014.6839256

Cited by 2 publications

(1 citation statement)

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“…The iterative approach of decoding such as; MAP and SOV (soft output viterbi) algorithm requires the complex operations of decoding over some iteration cycles [12]. Whereas, the turbo code delivers an owing coding gain similar to Shannon limit at AWGN channel in order to achieve the maximum throughput for WiMAX system application [13]. In paper [14] provided the Mobile WiMAX system analysis by applying the turbo codes using SOV Algorithm, but SOV has the worse BER presentation and less computational complexity while the MAP algorithm delivers better BER performance and high computational complexity.…”

Section: Literature Surveymentioning

confidence: 99%

A performance enhancement of physical layer at Wi-MAX system with RLDPC code

Bawage¹,

Manjula²,

Bhavikatti³

2021

IJEECS

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<span>In present wireless communication network, the error correction codes plays the major role for efficient data transmission in noisy environments. To get minimum BER and PAPR has been the main aim towards the field in forward error control coding. Majority of the researchers has considered turbo codes at specific SNR over AWGN channel but have complexity issues with the iterative output decoder and causes degradation in the Wi-Max network system. In this paper, the author presents and evaluates WiMAX physical layer performance with using MIMO technologies, where a Robust-LDPC technique of coding and decoding in OFDM based WiMAX system is consider. The decoding method of RLDPC has processed by Belief Propagation at the logarithmic domain in an iterative manner, the proposed methodology shows good decoding outcome for RLDPC codes at Rician and Rayleigh channel. Moreover, the applicability of our proposed model channel codes is defined under IEEE Wi-MAX standard and the results analysis is done under different code-rate and modulation schemes.</span>

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Section: Literature Surveymentioning

confidence: 99%