{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T13:04:56Z","timestamp":1760101496355,"version":"3.41.2"},"reference-count":36,"publisher":"Wiley","issue":"17","license":[{"start":{"date-parts":[[2024,7,21]],"date-time":"2024-07-21T00:00:00Z","timestamp":1721520000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Int J Communication"],"published-print":{"date-parts":[[2024,11,25]]},"abstract":"<jats:title>Summary<\/jats:title><jats:p>Traditional Orthogonal Multiple Access (OMA) and spectrum sharing methods struggle to provide the diverse quality of service (QoS) demands for enhanced mobile broadband (eMBB), ultra\u2010reliable low latency communications (uRLLC), and massive machine type communications (mMTC) leading to suboptimal performance and service quality degradation. Single\u2010carrier\u2010non\u2010orthogonal multiple access (SC\u2010NOMA) appears to be a more optimized solution. It can serve multiple users simultaneously on the same time\u2010frequency resources. This approach offers both enhanced spectrum efficiency and meets the QoS requirements for the coexistence of eMBB, uRLLC, and mMTC. However, SC\u2010NOMA has some drawbacks. Decoding a user's signal involves a complex successive interference cancellation (SIC) process that gets harder with more users causing delays and errors. Additionally, strong user signals can interfere with weaker ones, limiting the number of users per channel. In order to overcome the drawbacks associated with OMA and SC\u2010NOMA, this paper introduces a new method called user\u2010paired NOMA (hybrid NOMA). Hybrid NOMA adopts a strategic approach, employing two user pairing techniques: near\u2010far\/far\u2010near (NF\u2010FN) and near\u2010near\/far\u2010far (NN\u2010FF). NF\u2010FN pairing prioritizes users with similar signal strengths but different distances from the base station. This minimizes interference for the weaker user during SIC. NN\u2010FF pairing, on the other hand, groups users with similar signal strengths and proximity. This approach further simplifies SIC and minimizes potential interference altogether. The simulation results demonstrate trade\u2010offs between eMBB and uRLLC performance. OMA suffers with dedicated resource allocation, while SC\u2010NOMA balances performance but experiences interference. NN\u2010FF prioritizes eMBB and offers best latency, while NF\u2010FN prioritizes uRLLC with high spectral efficiency but suffers from higher latency. Finally, by providing a thorough grasp of how hybrid NOMA resource allocation works to improve the performance of various use cases, this research makes a significant contribution to the field of 5G spectrum optimization.<\/jats:p>","DOI":"10.1002\/dac.5928","type":"journal-article","created":{"date-parts":[[2024,7,22]],"date-time":"2024-07-22T04:34:36Z","timestamp":1721622876000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Optimization of resource allocation in 5G networks: A network slicing approach with hybrid NOMA for enhanced uRLLC and eMBB coexistence"],"prefix":"10.1002","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5654-9882","authenticated-orcid":false,"given":"Rebba","family":"Chandra Sekhar","sequence":"first","affiliation":[{"name":"ECE Department Dhanekula Institute of Engineering and Technology  Vijayawada India"}]},{"given":"Poonam","family":"Singh","sequence":"additional","affiliation":[{"name":"ECE Department NIT Rourkela  Odisha India"}]}],"member":"311","published-online":{"date-parts":[[2024,7,21]]},"reference":[{"key":"e_1_2_10_2_1","unstructured":"IMT vision\u2013framework and overall objectives of the future development of IMT for 2020 and beyond document 2083 2015."},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2872781"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2023.02.009"},{"key":"e_1_2_10_5_1","doi-asserted-by":"crossref","unstructured":"ZhangY ZhangH LiY YuanS.Joint resource allocation and task offloading for hybrid NOMA\u2010assisted MEC network with network slicing. 19\u2010Feb\u20102023. doi:10.23919\/ICACT56868.2023.10079379","DOI":"10.23919\/ICACT56868.2023.10079379"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/6644323"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2023.3295804"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781316534298"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11276\u2010020\u201002479\u2010w"},{"key":"e_1_2_10_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2017.2725519"},{"key":"e_1_2_10_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2838585"},{"key":"e_1_2_10_12_1","doi-asserted-by":"publisher","DOI":"10.3390\/s23083884"},{"key":"e_1_2_10_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3176018"},{"key":"e_1_2_10_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11276\u2010023\u201003328\u20102"},{"key":"e_1_2_10_15_1","doi-asserted-by":"crossref","unstructured":"Al\u2010AliM. 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