{"title":"使用 FBC 在基于 mURLLC 的 6G Massive-MIMO 移动无线网络上为统计-服务质量驱动的数字孪生网络提供多层缓存","authors":"Xi Zhang;Qixuan Zhu;H. Vincent Poor","doi":"10.1109/JSTSP.2024.3377007","DOIUrl":null,"url":null,"abstract":"Digital Twin (DT) has been widely envisioned as a major intelligent application of 6G wireless networks requiring stringent quality-of-service (QoS) for \n<italic>massive ultra-reliable and low latency communications</i>\n (mURLLC) to support efficient interactions between physical and virtual objects. As a key multi-tier computing (MTC) technique of 6G mobile networks, multi-tier caching stores the highly-demanded data at different wireless network tiers to significantly reduce mURLLC-streaming delay and data move. However, how to efficiently cache mURLLC data at different caching tiers in wireless networks and how to support \n<italic>both delay</i>\n and \n<italic>error-rate</i>\n bounded QoS for DT remain challenging problems. To conquer these difficulties, in this paper we propose to integrate multi-tier caching with finite blocklength coding for supporting mURLLC-based DT by developing multi-tier 6G massive-multiple-input-multiple-output (M-MIMO) mobile networks. First, we develop the efficient inter-tier and intra-tier collaborative multi-tier caching mechanisms, where popular DT data items are selectively cached at different wireless network caching tiers including: router tier, M-MIMO base-station (BS)/WiFi-AP tier, and mobile device tier. Second, our proposed inter-tier caching mechanisms maximize the \n<italic>aggregate caching gain</i>\n, in terms of DT-based \n<italic><inline-formula><tex-math>$\\epsilon$</tex-math></inline-formula>-effective capacity</i>\n, across three caching tiers to support statistical delay and error-rate bounded QoS. Third, we develop the intra-tier caching algorithm to optimize each caching-tier's QoS. Finally, our extensive numerical analyses show our developed schemes' performances-superiorities over existing schemes.","PeriodicalId":13038,"journal":{"name":"IEEE Journal of Selected Topics in Signal Processing","volume":"18 1","pages":"34-49"},"PeriodicalIF":8.7000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-Tier Caching for Statistical-QoS Driven Digital Twins Over mURLLC-Based 6G Massive-MIMO Mobile Wireless Networks Using FBC\",\"authors\":\"Xi Zhang;Qixuan Zhu;H. Vincent Poor\",\"doi\":\"10.1109/JSTSP.2024.3377007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Digital Twin (DT) has been widely envisioned as a major intelligent application of 6G wireless networks requiring stringent quality-of-service (QoS) for \\n<italic>massive ultra-reliable and low latency communications</i>\\n (mURLLC) to support efficient interactions between physical and virtual objects. As a key multi-tier computing (MTC) technique of 6G mobile networks, multi-tier caching stores the highly-demanded data at different wireless network tiers to significantly reduce mURLLC-streaming delay and data move. However, how to efficiently cache mURLLC data at different caching tiers in wireless networks and how to support \\n<italic>both delay</i>\\n and \\n<italic>error-rate</i>\\n bounded QoS for DT remain challenging problems. To conquer these difficulties, in this paper we propose to integrate multi-tier caching with finite blocklength coding for supporting mURLLC-based DT by developing multi-tier 6G massive-multiple-input-multiple-output (M-MIMO) mobile networks. First, we develop the efficient inter-tier and intra-tier collaborative multi-tier caching mechanisms, where popular DT data items are selectively cached at different wireless network caching tiers including: router tier, M-MIMO base-station (BS)/WiFi-AP tier, and mobile device tier. Second, our proposed inter-tier caching mechanisms maximize the \\n<italic>aggregate caching gain</i>\\n, in terms of DT-based \\n<italic><inline-formula><tex-math>$\\\\epsilon$</tex-math></inline-formula>-effective capacity</i>\\n, across three caching tiers to support statistical delay and error-rate bounded QoS. Third, we develop the intra-tier caching algorithm to optimize each caching-tier's QoS. Finally, our extensive numerical analyses show our developed schemes' performances-superiorities over existing schemes.\",\"PeriodicalId\":13038,\"journal\":{\"name\":\"IEEE Journal of Selected Topics in Signal Processing\",\"volume\":\"18 1\",\"pages\":\"34-49\"},\"PeriodicalIF\":8.7000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Journal of Selected Topics in Signal Processing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10472043/\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Journal of Selected Topics in Signal Processing","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10472043/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Multi-Tier Caching for Statistical-QoS Driven Digital Twins Over mURLLC-Based 6G Massive-MIMO Mobile Wireless Networks Using FBC
Digital Twin (DT) has been widely envisioned as a major intelligent application of 6G wireless networks requiring stringent quality-of-service (QoS) for
massive ultra-reliable and low latency communications
(mURLLC) to support efficient interactions between physical and virtual objects. As a key multi-tier computing (MTC) technique of 6G mobile networks, multi-tier caching stores the highly-demanded data at different wireless network tiers to significantly reduce mURLLC-streaming delay and data move. However, how to efficiently cache mURLLC data at different caching tiers in wireless networks and how to support
both delay
and
error-rate
bounded QoS for DT remain challenging problems. To conquer these difficulties, in this paper we propose to integrate multi-tier caching with finite blocklength coding for supporting mURLLC-based DT by developing multi-tier 6G massive-multiple-input-multiple-output (M-MIMO) mobile networks. First, we develop the efficient inter-tier and intra-tier collaborative multi-tier caching mechanisms, where popular DT data items are selectively cached at different wireless network caching tiers including: router tier, M-MIMO base-station (BS)/WiFi-AP tier, and mobile device tier. Second, our proposed inter-tier caching mechanisms maximize the
aggregate caching gain
, in terms of DT-based
$\epsilon$-effective capacity
, across three caching tiers to support statistical delay and error-rate bounded QoS. Third, we develop the intra-tier caching algorithm to optimize each caching-tier's QoS. Finally, our extensive numerical analyses show our developed schemes' performances-superiorities over existing schemes.
期刊介绍:
The IEEE Journal of Selected Topics in Signal Processing (JSTSP) focuses on the Field of Interest of the IEEE Signal Processing Society, which encompasses the theory and application of various signal processing techniques. These techniques include filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals using digital or analog devices. The term "signal" covers a wide range of data types, including audio, video, speech, image, communication, geophysical, sonar, radar, medical, musical, and others.
The journal format allows for in-depth exploration of signal processing topics, enabling the Society to cover both established and emerging areas. This includes interdisciplinary fields such as biomedical engineering and language processing, as well as areas not traditionally associated with engineering.