{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T17:14:19Z","timestamp":1761239659342,"version":"build-2065373602"},"publisher-location":"New York, NY, USA","reference-count":42,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,27]]},"DOI":"10.1145\/3704413.3764423","type":"proceedings-article","created":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T17:08:23Z","timestamp":1761239303000},"page":"261-270","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["To Theoretically Understand Transformer-Based In-Context Learning for Optimizing CSMA"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2296-7004","authenticated-orcid":false,"given":"Shugang","family":"Hao","sequence":"first","affiliation":[{"name":"Singapore University of Technology and Design, Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8173-234X","authenticated-orcid":false,"given":"Hongbo","family":"Li","sequence":"additional","affiliation":[{"name":"The Ohio State University, Columbus, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0217-6507","authenticated-orcid":false,"given":"Lingjie","family":"Duan","sequence":"additional","affiliation":[{"name":"Singapore University of Technology and Design, Singapore, Singapore"},{"name":"Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,10,23]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.naacl-long.605"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/49.840210"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Gordon Owusu Boateng Hani Sami Ahmed Alagha Hanae Elmekki Ahmad Hammoud Rabeb Mizouni Azzam Mourad Hadi Otrok Jamal Bentahar Sami Muhaidat et al. 2024. A Survey on Large Language Models for Communication Network and Service Management: Application Insights Challenges and Future Directions. arXiv preprint arXiv:2412.19823 (2024).","DOI":"10.1109\/COMST.2025.3564333"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/BMEI.2009.5304779"},{"key":"e_1_3_2_1_5_1","volume-title":"Floriano De Rango, and Andrea Baiocchi","author":"Cordeschi Nicola","year":"2024","unstructured":"Nicola Cordeschi, Floriano De Rango, and Andrea Baiocchi. 2024. Optimal BackOff Distribution for Maximum Weighted Throughput in CSMA. IEEE\/ACM Transactions on Networking (2024)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2022.3164458"},{"key":"e_1_3_2_1_7_1","volume-title":"A Theoretical Framework for Random Access: Effects of Carrier Sensing on Stability","author":"Dai Lin","year":"2024","unstructured":"Lin Dai. 2024. A Theoretical Framework for Random Access: Effects of Carrier Sensing on Stability. IEEE Transactions on Communications (2024)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.3012715"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.emnlp-main.64"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3164463"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2023.3264195"},{"key":"e_1_3_2_1_12_1","volume-title":"An Introductory Survey. McGrawHill-","author":"Heath Michael T","year":"2002","unstructured":"Michael T Heath and Scientific Computing. 2002. An Introductory Survey. McGrawHill- (2002)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.5555\/3692070.3692863"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2009.2035046"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2018.2871099"},{"key":"e_1_3_2_1_16_1","unstructured":"Chanho Lee et al. 2024. Dynamic-Persistent CSMA: A Reinforcement Learning Approach for Multi-User Channel Access. IEEE Access (2024)."},{"key":"e_1_3_2_1_17_1","volume-title":"LLM-empowered resource allocation in wireless communications systems. arXiv preprint arXiv:2408.02944","author":"Lee Woongsup","year":"2024","unstructured":"Woongsup Lee and Jeonghun Park. 2024. LLM-empowered resource allocation in wireless communications systems. arXiv preprint arXiv:2408.02944 (2024)."},{"key":"e_1_3_2_1_18_1","volume-title":"International Conference on Machine Learning. PMLR, 28734\u201328783","author":"Li Hongkang","year":"2024","unstructured":"Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, and Pin-Yu Chen. 2024. How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?. In International Conference on Machine Learning. PMLR, 28734\u201328783."},{"key":"e_1_3_2_1_19_1","volume-title":"What makes in-context learning effective for mathematical reasoning: A theoretical analysis. arXiv preprint arXiv:2412.12157","author":"Liu Jiayu","year":"2024","unstructured":"Jiayu Liu, Zhenya Huang, Chaokun Wang, Xunpeng Huang, Chengxiang Zhai, and Enhong Chen. 2024. What makes in-context learning effective for mathematical reasoning: A theoretical analysis. arXiv preprint arXiv:2412.12157 (2024)."},{"key":"e_1_3_2_1_20_1","volume-title":"MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts. In The Twelfth International Conference on Learning Representations.","author":"Lu Pan","year":"2024","unstructured":"Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, and Jianfeng Gao. 2024. MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts. In The Twelfth International Conference on Learning Representations."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.201"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.759"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.disopt.2016.01.005"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.191"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/VTC2024-Fall63153.2024.10757657"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2021.3063626"},{"key":"e_1_3_2_1_27_1","volume-title":"Neuromorphic In-Context Learning for energy-efficient MIMO symbol detection. In 2024 IEEE SPAWC","author":"Song Zihang","unstructured":"Zihang Song, Osvaldo Simeone, and Bipin Rajendran. 2024. Neuromorphic In-Context Learning for energy-efficient MIMO symbol detection. In 2024 IEEE SPAWC. IEEE, 1\u20135."},{"key":"e_1_3_2_1_28_1","first-page":"36637","article-title":"The learnability of in-context learning","volume":"36","author":"Wies Noam","year":"2023","unstructured":"Noam Wies, Yoav Levine, and Amnon Shashua. 2023. The learnability of in-context learning. Advances in Neural Information Processing Systems 36 (2023), 36637\u201336651.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2011.051811.100241"},{"key":"e_1_3_2_1_30_1","volume-title":"Contention window optimization in IEEE 802.11 ax networks with deep reinforcement learning. In 2021 IEEE wireless communications and networking conference (WCNC)","author":"Wydma\u0144ski Witold","unstructured":"Witold Wydma\u0144ski and Szymon Szott. 2021. Contention window optimization in IEEE 802.11 ax networks with deep reinforcement learning. In 2021 IEEE wireless communications and networking conference (WCNC). IEEE, 1\u20136."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/VTC2024-Spring62846.2024.10683016"},{"key":"e_1_3_2_1_32_1","volume-title":"Ali Afana, and Melike Erol-Kantarci.","author":"Zhang Han","year":"2024","unstructured":"Han Zhang, Akram Bin Sediq, Ali Afana, and Melike Erol-Kantarci. 2024. Large language models in wireless application design: In-context learning-enhanced automatic network intrusion detection. arXiv preprint arXiv:2405.11002 (2024)."},{"key":"e_1_3_2_1_33_1","first-page":"1","article-title":"Trained transformers learn linear models in-context","volume":"25","author":"Zhang Ruiqi","year":"2024","unstructured":"Ruiqi Zhang, Spencer Frei, and Peter L Bartlett. 2024. Trained transformers learn linear models in-context. Journal of Machine Learning Research 25, 49 (2024), 1\u201355.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_34_1","first-page":"17773","article-title":"What makes good examples for visual in-context learning","volume":"36","author":"Zhang Yuanhan","year":"2023","unstructured":"Yuanhan Zhang, Kaiyang Zhou, and Ziwei Liu. 2023. What makes good examples for visual in-context learning? Advances in Neural Information Processing Systems 36 (2023), 17773\u201317794.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2014.2337315"},{"key":"e_1_3_2_1_36_1","volume-title":"Large language model (llm)-enabled in-context learning for wireless network optimization: A case study of power control. arXiv preprint arXiv:2408.00214","author":"Zhou Hao","year":"2024","unstructured":"Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xue Liu, and Charlie Zhang. 2024. Large language model (llm)-enabled in-context learning for wireless network optimization: A case study of power control. arXiv preprint arXiv:2408.00214 (2024)."},{"key":"e_1_3_2_1_37_1","volume-title":"Provable In-Context Learning of Nonlinear Regression with Transformers. arXiv preprint arXiv:2507.20443","author":"Li Hongbo","year":"2025","unstructured":"Hongbo Li, Lingjie Duan, and Yingbin Liang. 2025. Provable In-Context Learning of Nonlinear Regression with Transformers. arXiv preprint arXiv:2507.20443 (2025)."},{"key":"e_1_3_2_1_38_1","volume-title":"To Theoretially Understand Transformer-Based In-Context Learning for Optimizing CSMA. arXiv preprint arXiv:2508.09146","author":"Hao Shugang","year":"2025","unstructured":"Shugang Hao, Hongbo Li, and Lingjie Duan. 2025. To Theoretially Understand Transformer-Based In-Context Learning for Optimizing CSMA. arXiv preprint arXiv:2508.09146 (2025)."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49660.2025.10887891"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM55648.2025.11044567"},{"key":"e_1_3_2_1_41_1","volume-title":"Theory on Mixture-of-Experts in Continual Learning. In The Thirteenth International Conference on Learning Representations.","author":"Li Hongbo","year":"2025","unstructured":"Hongbo Li, Sen Lin, Lingjie Duan, Yingbin Liang, and Ness Shroff. 2025. Theory on Mixture-of-Experts in Continual Learning. In The Thirteenth International Conference on Learning Representations."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49660.2025.10888544"}],"event":{"name":"MobiHoc '25: Twenty-sixth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing","location":"Rice University Houston TX USA","acronym":"MobiHoc '25","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing"]},"container-title":["Proceedings of the Twenty-sixth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3704413.3764423","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T17:09:31Z","timestamp":1761239371000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3704413.3764423"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,23]]},"references-count":42,"alternative-id":["10.1145\/3704413.3764423","10.1145\/3704413"],"URL":"https:\/\/doi.org\/10.1145\/3704413.3764423","relation":{},"subject":[],"published":{"date-parts":[[2025,10,23]]},"assertion":[{"value":"2025-10-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}