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BibTex Citation Data :
@article{JOIV2054, author = {Agung Widodo and Heri Wijayanto and I Gede Wijaya and Andika Wisnujati and Ahmad Musnansyah}, title = {Analyzing Coverage Probability of Reconfigurable Intelligence Surface-aided NOMA}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {7}, number = {3}, year = {2023}, keywords = {on-orthogonal multiple access (NOMA); outage probability (OP); p-CSI.}, abstract = {Along with the explosive growth of wireless communication network users who require large frequency bands and low latency, it is a challenge to create a new wireless communication network beyond 5G. This is because installing a massive 5G network requires a large investment by network providers. For this reason, the authors propose an alternative beyond 5G that has better quality than 5G and a relatively lower investment value than 5G networks. This study aims to analyze the downlink of the cooperative non-orthogonal multiple access (NOMA) network, which is usually used in 5G, combined with the use of a reconfigurable intelligence surface (RIS) antenna with decode and forward relay mechanisms. RIS is processed with a limited number of objects utilizing Rayleigh fading channels. The scenario is created by a user who relays without a direct link for users near the base station and with a direct link for users far from the base station. Under the Nakagami-m fading channel, the authors carefully evaluated the probability of loss for various users as a function of perfect channel statistical information (p-CSI) utilizing simply a single input-output (SISO) system with a finite number of RIS elements. As a key success metric, the efficiency of the proposed RIS-assisted NOMA transmission mechanism is evaluated through numerical data on the outage probability for each user. The modeling outcomes demonstrate that the RIS-aided NOMA network outperforms the traditional NOMA network}, issn = {2549-9904}, pages = {839--846}, doi = {10.30630/joiv.7.3.2054}, url = {https://joiv.org/index.php/joiv/article/view/2054} }
Refworks Citation Data :
@article{{JOIV}{2054}, author = {Widodo, A., Wijayanto, H., Wijaya, I., Wisnujati, A., Musnansyah, A.}, title = {Analyzing Coverage Probability of Reconfigurable Intelligence Surface-aided NOMA}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {7}, number = {3}, year = {2023}, doi = {10.30630/joiv.7.3.2054}, url = {} }Refbacks
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JOIV : International Journal on Informatics Visualization
ISSN 2549-9610 (print) | 2549-9904 (online)
Organized by Department of Information Technology - Politeknik Negeri Padang, and Institute of Visual Informatics - UKM and Soft Computing and Data Mining Centre - UTHM
W : http://joiv.org
E : joiv@pnp.ac.id, hidra@pnp.ac.id, rahmat@pnp.ac.id
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is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.