Pub Date : 2026-01-29DOI: 10.1109/twc.2026.3657047
Hyeongwon Lee, Kwonhue Choi
{"title":"PAPR Reduction in OTSM Using Small Walsh–Hadamard Transform and Random Interleaving","authors":"Hyeongwon Lee, Kwonhue Choi","doi":"10.1109/twc.2026.3657047","DOIUrl":"https://doi.org/10.1109/twc.2026.3657047","url":null,"abstract":"","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"3 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146089976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Considering the mobility of high-speed railway (HSR) trains, we propose an interruption-avoiding transmission paradigm for content delivery in HSR communication systems, enabled by a space-terrestrial integrated network (STIN) that supports both out-carriage and in-carriage communications. Each content delivery task must be fully transmitted from a satellite or terrestrial base station to the corresponding carriage femto-cell access point (FAP) before handoff occurs. To minimize the maximum transmission latency, we formulate the Content delivery task Scheduling and Resource Allocation problem for both Out-carriage and In-carriage communications (CSRA-OI) over a long-term scheduling period. To solve the CSRA-OI problem, we decompose it into two interrelated sub-problems, i.e., a transmission rate control and in-carriage bandwidth allocation (RCIBA) sub-problem, and a content delivery task scheduling and out-carriage resource management (CSORM) sub-problem. We show that the optimal solution to the RCIBA sub-problem can be obtained by solving a series of linear programming problems. To solve the CSORM sub-problem, we propose a multi-agent deep reinforcement learning (DRL)-based framework assisted by a graph attention network (GAT). We present a novel training scheme for the CSORM framework, where the policy networks are updated rapidly in a distributed manner while the critic network and GAT are updated jointly at a slower rate. Extensive experiments validate the advantages of our approach.
{"title":"Low-Latency Content Delivery in High-Speed Railway Communication Systems Enabled by Space-Terrestrial Integrated Networks","authors":"Zitian Zhang;Yunqiang Zheng;Xiaoli Chu;Dongmei Zhao;Bin Zhuge;Ligang Dong;Xian Jiang;Haibo Zhou","doi":"10.1109/TWC.2026.3656961","DOIUrl":"10.1109/TWC.2026.3656961","url":null,"abstract":"Considering the mobility of high-speed railway (HSR) trains, we propose an interruption-avoiding transmission paradigm for content delivery in HSR communication systems, enabled by a space-terrestrial integrated network (STIN) that supports both out-carriage and in-carriage communications. Each content delivery task must be fully transmitted from a satellite or terrestrial base station to the corresponding carriage femto-cell access point (FAP) before handoff occurs. To minimize the maximum transmission latency, we formulate the <underline>C</u>ontent delivery task <underline>S</u>cheduling and <underline>R</u>esource <underline>A</u>llocation problem for both <underline>O</u>ut-carriage and <underline>I</u>n-carriage communications (CSRA-OI) over a long-term scheduling period. To solve the CSRA-OI problem, we decompose it into two interrelated sub-problems, i.e., a transmission rate control and in-carriage bandwidth allocation (RCIBA) sub-problem, and a content delivery task scheduling and out-carriage resource management (CSORM) sub-problem. We show that the optimal solution to the RCIBA sub-problem can be obtained by solving a series of linear programming problems. To solve the CSORM sub-problem, we propose a multi-agent deep reinforcement learning (DRL)-based framework assisted by a graph attention network (GAT). We present a novel training scheme for the CSORM framework, where the policy networks are updated rapidly in a distributed manner while the critic network and GAT are updated jointly at a slower rate. Extensive experiments validate the advantages of our approach.","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"25 ","pages":"11834-11849"},"PeriodicalIF":10.7,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146089977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-28DOI: 10.1109/twc.2026.3656853
Cuong Le, Symeon Chatzinotas, Thang X. Vu
{"title":"Cooperative UAVs for Remote Data Collection under Limited Communications: An Asynchronous Multiagent Learning Framework","authors":"Cuong Le, Symeon Chatzinotas, Thang X. Vu","doi":"10.1109/twc.2026.3656853","DOIUrl":"https://doi.org/10.1109/twc.2026.3656853","url":null,"abstract":"","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"4 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146070218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-27DOI: 10.1109/twc.2026.3655342
Ziqi Chen, Jun Du, Chunxiao Jiang, Tony Q. S. Quek, Zhu Han
{"title":"RIS-based Communication Enhancement and Location Privacy Protection in UAV Networks","authors":"Ziqi Chen, Jun Du, Chunxiao Jiang, Tony Q. S. Quek, Zhu Han","doi":"10.1109/twc.2026.3655342","DOIUrl":"https://doi.org/10.1109/twc.2026.3655342","url":null,"abstract":"","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"117 1","pages":"1-1"},"PeriodicalIF":10.4,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146056674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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