Performance Analysis of Turbo Codes for 5G Massive Machine-Type Communication(mMTC)
| dc.contributor.author | Adamu, Mohammed Jajere | |
| dc.contributor.author | Qiang, Li | |
| dc.contributor.author | Zakariyya, Rabiu Saleh | |
| dc.contributor.author | Jabire, Adamu Halilu | |
| dc.contributor.author | Kukawa, Halima Bello | |
| dc.contributor.author | Saminu, Sani | |
| dc.date.accessioned | 2023-08-28T11:26:54Z | |
| dc.date.available | 2023-08-28T11:26:54Z | |
| dc.date.issued | 2021-12 | |
| dc.description.abstract | In our present and future wireless communication systems, high-performance codes with low design complexity are required for optimum coding gain. In this paper, an efficient Long Term Evolution (LTE) based Turbo decoding algorithm is proposed. it is derived by remodeling the conventional maximum a posteriori probability (MAP) decoder. The proposed scheme aims to reduce the complexity of actualizing the conventional MAP Turbo decoder in the newly mMTC PHY layer features. The overall system performance is analyzed in terms of bit error rate (BER). | en_US |
| dc.identifier.uri | https://uilspace.unilorin.edu.ng/handle/20.500.12484/11709 | |
| dc.language.iso | en | en_US |
| dc.publisher | IEEExplore | en_US |
| dc.subject | maximum a posteriori probability (MAP) , bit error rate (BER) , massive Machine-Type Communication (mMTC) | en_US |
| dc.title | Performance Analysis of Turbo Codes for 5G Massive Machine-Type Communication(mMTC) | en_US |
| dc.type | Article | en_US |
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