Multistage spectrum sensing scheme with SNR estimation

Mu, Junsheng; Jing, Xiaojun; Xie, Jun; Zhang, Yangying

doi:10.1049/iet-com.2018.5665

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…Extensive research has been conducted on MEC. Many existing works paid attention to the computation offloading problem [15,16,20,21,[27][28][29][30][31][32]. Some works jointly considered the computation offloading policy and the involved resource allocation [15,[33][34][35].…”

Section: Related Workmentioning

confidence: 99%

Cooperative Offloading in D2D-Enabled Three-Tier MEC Networks for IoT

Zhang

Xiao

et al. 2021

Wireless Communications and Mobile Computing

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Mobile/multi-access edge computing (MEC) takes advantage of its proximity to end-users, which greatly reduces the transmission delay of task offloading compared to mobile cloud computing (MCC). Offloading computing tasks to edge servers with a certain amount of computing ability can also reduce the computing delay. Meanwhile, device-to-device (D2D) cooperation can help to process small-scale delay-sensitive tasks to further decrease the delay of tasks. But where to offload the computing tasks is a critical issue. In this article, we integrate MEC and D2D cooperation techniques to optimize the offloading decisions and resource allocation problem in D2D-enabled three-tier MEC networks for Internet of Things (IoT). Mobile devices (MDs), edge clouds, and central cloud data center (DC) make up these three-tier MEC networks. They cooperate with each other to finish the offloading tasks. Each task can be processed by MD itself or its neighboring MDs at device tier, by edge servers at edge tier, or by remote cloud servers at cloud tier. Under the maximum energy cost constraints, we formulate the cooperative offloading problem into a mixed-integer nonlinear problem aiming to minimize the total delay of tasks. We utilize the alternating direction method of multipliers (ADMM) to speed up the computing process. The proposed scheme decomposes the complicated problem into 3 smaller subproblems, which are solved in a parallel fashion. Finally, we compare our proposal with D2D and MEC networks in simulations. Numerical results validate that the proposed D2D-enabled MEC networks for IoT can significantly enhance the computing abilities and reduce the total delay of tasks.

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Section: Related Workmentioning

confidence: 99%

Cooperative Offloading in D2D-Enabled Three-Tier MEC Networks for IoT

Zhang

Xiao

et al. 2021

Wireless Communications and Mobile Computing

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“…While logic-1 or legic-0 is transmitted to the FC for the final status decision of observed spectrum band in decision based CSS, where logic-1 denotes the presence of PU(primary user) and logic-0 denotes the absence of PU. It has been shown in [21,22,23,24] that soft-based decisions (decision fusion) outperform hard-based decisions (data fusion). But this difference in performance is at the expense of more energy consumption and bandwidth.…”

Section: Multi-slot Ssmentioning

confidence: 99%

A Further Exploration of Multi-Slot Based Spectrum Sensing

Zhu

Cao

2019

Sensors

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Spectrum sensing (SS) exhibits its advantages in the era of Internet of Things (IoT) due to limited spectrum resource and a lower utilization rate of authorized spectrum. In consequence, the performance improvement of SS seems a matter of great significance for the development of wireless communication and IoT. Motivated by this, this paper is devoted to multi-slot based SS in specialty and several important conclusions are drawn. Firstly, SS with one slot outperforms those with multiple slots if decision fusion rule is considered for multi-slot based SS. Secondly, multi-slot based SS is conducive to the performance improvement of SS when instantaneous strong noise occurs in the radio environment. Thirdly, for multi-slot based cooperative spectrum sensing (CSS), majority voting rule among multiple nodes obtains the optimal sensing performance. Both theoretical analysis and simulation experiment validate the conclusions drawn in this paper.

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CNN-based idle spectrum detection for 5G broadcasting services

Miao

Zhang

et al. 2022

2022 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

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Multistage spectrum sensing scheme with SNR estimation

Cited by 5 publications

References 17 publications

Cooperative Offloading in D2D-Enabled Three-Tier MEC Networks for IoT

Cooperative Offloading in D2D-Enabled Three-Tier MEC Networks for IoT

A Further Exploration of Multi-Slot Based Spectrum Sensing

CNN-based idle spectrum detection for 5G broadcasting services

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