Joint offloading design and bandwidth allocation for RIS-aided multiuser MEC networks

Ge, Changyun; Rao, Yanyi; Ou, Jiangtao; Fan, Chengyuan; Ou, Jianghong; Fan, Dahua

doi:10.1016/j.phycom.2022.101752

Cited by 14 publications

(7 citation statements)

References 33 publications

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“…The effectiveness of TWRN was actually typically assessed in the literature [3,4]. Especially, outage opportunity was actually really analyzed in [5,6]. SER of TWRN in Rayleigh fading systems was actually really acquired in [7,8] was actually really made use of.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Bi-directional Relaying Communication for Edge Intelligence based Industrial IoT Networks

Zhang

Wang

et al. 2022

EAI Endorsed Trans Ind Net Intel Syst

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Within this specific record, our group study the two-way interact body (TWRN) that has a number of amplify-and-forward (AF) relays. In that, the best one is actually really got to help the info communication among sources. A interact option is actually really according to the obsolete channel problem information (CSI) in addition to our group analyze its own very personal effect on the system effectiveness in the Rayleigh fading atmospheres. Especially, we extremely preliminary acquire a restricted decreased connected for the outage opportunity and afterward current an asymptotic assessment for greater signal-to-noise ratio (SNR). Our group extra acquire a restricted decreased connected along with an asymptotic result on the authorize error cost (SER). Originating got via these results, our group easily quickly obtain that body system range order remain at unity offered that the CSI is actually really obsolete. Relative results reveal the rigidness on the effectiveness bounds along with the effects of obsolete interact option on the body system effectiveness. Simulation outcomes are likewise offered to corroborate the scholastic evaluation.

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Section: Introductionmentioning

confidence: 99%

Intelligent Bi-directional Relaying Communication for Edge Intelligence based Industrial IoT Networks

Zhang

Wang

et al. 2022

EAI Endorsed Trans Ind Net Intel Syst

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“…With the continuous improvement of the fifthgeneration (5G) communication networks and other network infrastructure and applications [1][2][3][4], and the continuous strengthening of the performance of edge computing terminals, billions of mobile and Internet of Things (IoT) devices are connected to the Internet, generating hundreds of millions of data bytes at the edge of the network. Gartner predicts that by 2022, more than 80% of enterprise IoT projects will include AI components [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Distributed Data Storage for Wireless Communications in B5G Networks

Tang

Lai

Rao

et al. 2022

EAI Endorsed Trans Mob Com Appl

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With the deployment and commercialization of the fifth-generation (5G) mobile communication network, the access nodes and data volume of wireless network show a massive and blowout growth trend. Taking beyond 5G (B5G) edge intelligent network as the research object, based on the deep integration of storage / computing and communication, this paper focuses on the theory and key technology of system intelligent transmission, so as to effectively support the related applications of B5G edge intelligent network in the future. This paper analyzes the research status of data storage, studies the real field distributed storage computing system, and designs the corresponding flashback shift code and error correction scheme with low storage space overhead.

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“…Computing force network deeply integrates computing and network, internally realizes computing endogenesis, externally provides computing services and reshapes the paradigm of the communication network [13][14][15]. The computing force network significantly improves the utilization of multi-dimensional resources such as communication, storage, and computing of the system through cloud, network and edge computing network collaboration, supports real-time and accurate computing power discovery, flexible dynamic scheduling of services, and ensures the consistency of user experience [16][17][18]. Wireless transmission is the basic means of computing power discovery and routing in a mobile computing network.…”

Section: Introductionmentioning

confidence: 99%

An Overview on Active Transmission Techniques for Wireless Scalable Networks

Tang

Lai

Zhang

et al. 2022

EAI Endorsed Scal Inf Syst

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Currently, massive data communication and computing pose a severe challenge on existing wireless network architecture, from various aspects such as data rate, latency, energy consumption and pricing. Hence, it is of vital importance to investigate active wireless transmission for wireless networks. To this end, we first overview the data rate of wireless active transmission. We then overview the latency of wireless active transmission, which is particularly important for the applications of monitoring services. We further overview the spectral efficiency of the active transmission, which is particularly important for the battery-limited Internet of Things (IoT) networks. After these overviews, we give several critical challenges on the active transmission, and we finally present feasible solutions to meet these challenges. The work in this paper can serve as an important reference to the wireless networks and IoT networks.

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Joint offloading design and bandwidth allocation for RIS-aided multiuser MEC networks

Cited by 14 publications

References 33 publications

Intelligent Bi-directional Relaying Communication for Edge Intelligence based Industrial IoT Networks

Intelligent Bi-directional Relaying Communication for Edge Intelligence based Industrial IoT Networks

Intelligent Distributed Data Storage for Wireless Communications in B5G Networks

An Overview on Active Transmission Techniques for Wireless Scalable Networks

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