Performance Analysis on Massive Random-Access Based on Repetition and Post-Encoding Processing
The relentless advancement of wireless mobile communication technology, evolving from 1G to 5G and now venturing into 6G, has prompted an exploration of massive random-access (MRA) techniques to accommodate the anticipated massive communication demands. This paper delves into the domain of MRA techn...
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11062819/ |
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| author | Wei Bai Shaoli Kang Shaohui Sun Shanzhi Chen |
| author_facet | Wei Bai Shaoli Kang Shaohui Sun Shanzhi Chen |
| author_sort | Wei Bai |
| collection | DOAJ |
| description | The relentless advancement of wireless mobile communication technology, evolving from 1G to 5G and now venturing into 6G, has prompted an exploration of massive random-access (MRA) techniques to accommodate the anticipated massive communication demands. This paper delves into the domain of MRA technology, garnering increasing attention in 6G Internet of Things (IoT) networks. Based on extensive prior research on MRA, this paper analyzes the impact of repetitions and post-encoding processing on MRA performance. Two scenarios are considered: the ideal post-encoding processing scenario with the maximum processing gain, where each repetition is treated as independent; and the identical post-encoding processing scenario with the most basic processing gain, where all repetitions undergo the same processing steps. Through theoretical derivations, performance bounds for MRA with joint decoding across all actual IoT devices and all repetitions are established for both scenarios. The special scenario concerning performance bounds, where the repetition number is 1, aligns with existing results. Numerical evaluations have confirmed the accuracy of the theoretical derivations and further demonstrated that, as the number of repetitions increases, the performance disparity between the ideal post-encoding processing scenario and the identical post-encoding processing scenario widens. The performance bounds of other post-encoding processing schemes lie between the ideal and the identical post-encoding processing. These findings emphasize optimizing post-encoding processing schemes to bring actual performance closer to the ideal post-encoding processing scenario. |
| format | Article |
| id | doaj-art-d73fcc99e920447d85942fd6ebbd4cba |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-d73fcc99e920447d85942fd6ebbd4cba2025-08-20T03:28:04ZengIEEEIEEE Access2169-35362025-01-011311964611965610.1109/ACCESS.2025.358518511062819Performance Analysis on Massive Random-Access Based on Repetition and Post-Encoding ProcessingWei Bai0https://orcid.org/0009-0008-8270-3442Shaoli Kang1Shaohui Sun2https://orcid.org/0000-0003-1383-8833Shanzhi Chen3https://orcid.org/0000-0002-5409-8168China Information and Communication Technology Mobile Communication Technology Company Ltd. (CICT Mobile), Wuhan, ChinaState Key Laboratory of Wireless Mobile Communications, China Information and Communication Technology (CICT) Group, Wuhan, ChinaState Key Laboratory of Wireless Mobile Communications, China Information and Communication Technology (CICT) Group, Wuhan, ChinaState Key Laboratory of Wireless Mobile Communications, China Information and Communication Technology (CICT) Group, Wuhan, ChinaThe relentless advancement of wireless mobile communication technology, evolving from 1G to 5G and now venturing into 6G, has prompted an exploration of massive random-access (MRA) techniques to accommodate the anticipated massive communication demands. This paper delves into the domain of MRA technology, garnering increasing attention in 6G Internet of Things (IoT) networks. Based on extensive prior research on MRA, this paper analyzes the impact of repetitions and post-encoding processing on MRA performance. Two scenarios are considered: the ideal post-encoding processing scenario with the maximum processing gain, where each repetition is treated as independent; and the identical post-encoding processing scenario with the most basic processing gain, where all repetitions undergo the same processing steps. Through theoretical derivations, performance bounds for MRA with joint decoding across all actual IoT devices and all repetitions are established for both scenarios. The special scenario concerning performance bounds, where the repetition number is 1, aligns with existing results. Numerical evaluations have confirmed the accuracy of the theoretical derivations and further demonstrated that, as the number of repetitions increases, the performance disparity between the ideal post-encoding processing scenario and the identical post-encoding processing scenario widens. The performance bounds of other post-encoding processing schemes lie between the ideal and the identical post-encoding processing. These findings emphasize optimizing post-encoding processing schemes to bring actual performance closer to the ideal post-encoding processing scenario.https://ieeexplore.ieee.org/document/11062819/Massive random-accessrepetitionpost-encoding processingperformance bounds6G |
| spellingShingle | Wei Bai Shaoli Kang Shaohui Sun Shanzhi Chen Performance Analysis on Massive Random-Access Based on Repetition and Post-Encoding Processing IEEE Access Massive random-access repetition post-encoding processing performance bounds 6G |
| title | Performance Analysis on Massive Random-Access Based on Repetition and Post-Encoding Processing |
| title_full | Performance Analysis on Massive Random-Access Based on Repetition and Post-Encoding Processing |
| title_fullStr | Performance Analysis on Massive Random-Access Based on Repetition and Post-Encoding Processing |
| title_full_unstemmed | Performance Analysis on Massive Random-Access Based on Repetition and Post-Encoding Processing |
| title_short | Performance Analysis on Massive Random-Access Based on Repetition and Post-Encoding Processing |
| title_sort | performance analysis on massive random access based on repetition and post encoding processing |
| topic | Massive random-access repetition post-encoding processing performance bounds 6G |
| url | https://ieeexplore.ieee.org/document/11062819/ |
| work_keys_str_mv | AT weibai performanceanalysisonmassiverandomaccessbasedonrepetitionandpostencodingprocessing AT shaolikang performanceanalysisonmassiverandomaccessbasedonrepetitionandpostencodingprocessing AT shaohuisun performanceanalysisonmassiverandomaccessbasedonrepetitionandpostencodingprocessing AT shanzhichen performanceanalysisonmassiverandomaccessbasedonrepetitionandpostencodingprocessing |