Pub Date : 2022-12-16DOI: 10.1109/ICECE56287.2022.10048653
Zhenhao Zhang, Wenwen Meng, Zheng Li, Jupeng Li
It is typically difficult to balance the accuracy and speed of small-scale pedestrian detection in the railway scene. To solve this problem, we have designed a novel network, in which we proposed a new loss function by introducing new parameters. In addition, we introduced the coordinate attention mechanism, which can significantly improve the detection performance of the network. In addition, we also designed the lightweight version of this network to apply to the Unmanned Aerial Vehicle (UAV) platform. The experimental results showed that the algorithm had higher detection accuracy than the basic network, and the LAMR (Log-Average Miss Rate) was reduced from 19.49% to 10.70%. Furthermore, its lightweight network can improve the detection frame rate from 14.92 to 19.60 FPS while ensuring high detection performance.
在铁路场景中，小尺度行人检测的精度和速度很难平衡。为了解决这个问题，我们设计了一个新的网络，通过引入新的参数提出了一个新的损失函数。此外，我们引入了坐标关注机制，可以显著提高网络的检测性能。此外，我们还设计了该网络的轻量化版本，以应用于无人机平台。实验结果表明，该算法比基础网络具有更高的检测精度，LAMR (Log-Average Miss Rate)从19.49%降低到10.70%。此外，它的轻量级网络可以在保证高检测性能的同时，将检测帧率从14.92提高到19.60 FPS。
{"title":"A Small-Scale Pedestrian Detection Method in Railway Scene","authors":"Zhenhao Zhang, Wenwen Meng, Zheng Li, Jupeng Li","doi":"10.1109/ICECE56287.2022.10048653","DOIUrl":"https://doi.org/10.1109/ICECE56287.2022.10048653","url":null,"abstract":"It is typically difficult to balance the accuracy and speed of small-scale pedestrian detection in the railway scene. To solve this problem, we have designed a novel network, in which we proposed a new loss function by introducing new parameters. In addition, we introduced the coordinate attention mechanism, which can significantly improve the detection performance of the network. In addition, we also designed the lightweight version of this network to apply to the Unmanned Aerial Vehicle (UAV) platform. The experimental results showed that the algorithm had higher detection accuracy than the basic network, and the LAMR (Log-Average Miss Rate) was reduced from 19.49% to 10.70%. Furthermore, its lightweight network can improve the detection frame rate from 14.92 to 19.60 FPS while ensuring high detection performance.","PeriodicalId":358486,"journal":{"name":"2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131506504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-16DOI: 10.1109/ICECE56287.2022.10048599
Xiaodi Chai, Hui Xu
The improved Aquila optimizer is used to solve the problems of large network latency and imbalance controller load caused by placing multiple controllers in hierarchical architecture software-defined networking. Random opposition-based learning was added to the initial population, and dynamic reverse learning was added to the high-altitude flight phase of global exploration to improve the global exploration capability of the Aquila optimizer. Toward shorten the feasibility of the optimal individual trap the local optimal, the Gaussian walk strategy is added to the local development to adjust the convergence speed of the Aquila optimizer. Through the experimental verification of China Telecom network topology, the strategy solved by the improved Aquila optimizer can maintain the premise of the minimum network total latency, realize the load balance of the network, and the performance index is better than the random algorithm, K-means algorithm, particle swarm algorithm.
{"title":"Hierarchical SDN Multi-controller Placement Strategy Based on Improved Aquila Optimizer","authors":"Xiaodi Chai, Hui Xu","doi":"10.1109/ICECE56287.2022.10048599","DOIUrl":"https://doi.org/10.1109/ICECE56287.2022.10048599","url":null,"abstract":"The improved Aquila optimizer is used to solve the problems of large network latency and imbalance controller load caused by placing multiple controllers in hierarchical architecture software-defined networking. Random opposition-based learning was added to the initial population, and dynamic reverse learning was added to the high-altitude flight phase of global exploration to improve the global exploration capability of the Aquila optimizer. Toward shorten the feasibility of the optimal individual trap the local optimal, the Gaussian walk strategy is added to the local development to adjust the convergence speed of the Aquila optimizer. Through the experimental verification of China Telecom network topology, the strategy solved by the improved Aquila optimizer can maintain the premise of the minimum network total latency, realize the load balance of the network, and the performance index is better than the random algorithm, K-means algorithm, particle swarm algorithm.","PeriodicalId":358486,"journal":{"name":"2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128978940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In a Massive MIMO system, the base station needs to estimate the channel according to the received pilot signal and obtain the channel state information to design the downlink precoding matrix. The spectrum pattern of pilot signal plays an important role in channel estimation. In this paper, a pilot spectrum based on channel quality is designed. The simulation results show that the performance of the proposed pilot pattern has been effectively improved compared with the traditional pilot pattern. In view of the security problems in the signal transmission process, this paper introduces a symmetric encryption algorithm, and adds a key in the encoding stage of the analog-to-digital conversion part, which effectively improves the security performance of the system.
{"title":"Design of Secure Pilot Spectrum for 5G Oriented Massive MIMO System","authors":"Jiangfei Chen, Qiang Sun, Rui Wang, Changchao Wei, Weite Liu, Xinghan Pan","doi":"10.1109/ICECE56287.2022.10048632","DOIUrl":"https://doi.org/10.1109/ICECE56287.2022.10048632","url":null,"abstract":"In a Massive MIMO system, the base station needs to estimate the channel according to the received pilot signal and obtain the channel state information to design the downlink precoding matrix. The spectrum pattern of pilot signal plays an important role in channel estimation. In this paper, a pilot spectrum based on channel quality is designed. The simulation results show that the performance of the proposed pilot pattern has been effectively improved compared with the traditional pilot pattern. In view of the security problems in the signal transmission process, this paper introduces a symmetric encryption algorithm, and adds a key in the encoding stage of the analog-to-digital conversion part, which effectively improves the security performance of the system.","PeriodicalId":358486,"journal":{"name":"2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132598460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-16DOI: 10.1109/ICECE56287.2022.10048623
Huaizhe Zhou, Changjiang Fei, Lin Ni, Bo Wu, Guopeng Li, Kun Han
Security exploits and ensuant malware pose an increasing challenge to the cloud computing environments as the variety and complexity of malware continue to increase. Kernel rootkits are more formidable than other malware for their stealthiness and high privilege. A variety of software-based detection mechanisms have been explored to defeat kernel rootkits. However, existing methods suffer from their complexity. In this paper, we introduce HKRD, a system that utilizes low-level architectural features in the hypervisor to detect and identify malicious behaviors of kernel rootkits in a VM. By combining architectural features with machine learning on the Xen hypervisor, our implemented prototype shows its capacity to detect kernel rootkits with high accuracy and moderate performance cost.
{"title":"Detecting Kernel Rootkits in a Virtualized Infrastructure with Low-Level Architectural Features","authors":"Huaizhe Zhou, Changjiang Fei, Lin Ni, Bo Wu, Guopeng Li, Kun Han","doi":"10.1109/ICECE56287.2022.10048623","DOIUrl":"https://doi.org/10.1109/ICECE56287.2022.10048623","url":null,"abstract":"Security exploits and ensuant malware pose an increasing challenge to the cloud computing environments as the variety and complexity of malware continue to increase. Kernel rootkits are more formidable than other malware for their stealthiness and high privilege. A variety of software-based detection mechanisms have been explored to defeat kernel rootkits. However, existing methods suffer from their complexity. In this paper, we introduce HKRD, a system that utilizes low-level architectural features in the hypervisor to detect and identify malicious behaviors of kernel rootkits in a VM. By combining architectural features with machine learning on the Xen hypervisor, our implemented prototype shows its capacity to detect kernel rootkits with high accuracy and moderate performance cost.","PeriodicalId":358486,"journal":{"name":"2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114598442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-16DOI: 10.1109/ICECE56287.2022.10048625
Richard Yassir Huasasquiche-Carbajal, Rosa Anabel Quiroz-Villavicencio, Adriana Margarita Turriate-Guzmán
This systematic review aims to document the adaptation of the conventional movie consumer to streaming platforms for movies, series, and videos during the lockdown. It is a relevant topic to study due to changes in the audiovisual industry, the new narrative formats, the emergence of streaming platforms, and the creation of algorithms to determine audience preferences. The research databases are EBSCO and Scielo. The search was performed by screening the information through the PRISMA methodology. The results show the existence of several factors that have influenced the increase in the consumption of streaming platforms. Finally, the absence of articles within the pandemic timeframe was observed as the main limitation in conducting this research.
{"title":"Adaptation of Conventional Movie Consumers to Streaming Movie and Series Platforms during Lockdown: A Systematic Literature Review from 2019 to 2021","authors":"Richard Yassir Huasasquiche-Carbajal, Rosa Anabel Quiroz-Villavicencio, Adriana Margarita Turriate-Guzmán","doi":"10.1109/ICECE56287.2022.10048625","DOIUrl":"https://doi.org/10.1109/ICECE56287.2022.10048625","url":null,"abstract":"This systematic review aims to document the adaptation of the conventional movie consumer to streaming platforms for movies, series, and videos during the lockdown. It is a relevant topic to study due to changes in the audiovisual industry, the new narrative formats, the emergence of streaming platforms, and the creation of algorithms to determine audience preferences. The research databases are EBSCO and Scielo. The search was performed by screening the information through the PRISMA methodology. The results show the existence of several factors that have influenced the increase in the consumption of streaming platforms. Finally, the absence of articles within the pandemic timeframe was observed as the main limitation in conducting this research.","PeriodicalId":358486,"journal":{"name":"2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122106842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-16DOI: 10.1109/ICECE56287.2022.10048644
Sen Yang, Xiaofeng Li
Many works effectively improved the aberration correction accuracy by adaptive optics (AO) with a defocus preconditioner, which has been quantitatively demonstrated and the formula of the optimal defocus distance were derived. However, no work has yet quantitatively analyzed the improvement with a scattering preconditioner. Spurred by the gap, we equivalently convert the change of the optical field at the imaging sensor due to scattering to the additional phase on the pupil plane, then derive the model between the scattering screen roughness with the probability of dual wavefront (PDWF) and the proportion of intensity in the cropped area (PICA), respectively. The experimental results show that the correction accuracy is significantly improved as PDWF decreases, and deteriorated after PICA less than 95%, which is consistent with the conclusion under the defocus preconditioner. Furthermore, we propose theoretical guidance on how to select the scattering screen roughness based on the AO parameters to meet the requirements of high accuracy and real-time performance.
{"title":"Quantitative Analysis of Improvement on Wavefront Aberration Correction with Scattering Preconditioner","authors":"Sen Yang, Xiaofeng Li","doi":"10.1109/ICECE56287.2022.10048644","DOIUrl":"https://doi.org/10.1109/ICECE56287.2022.10048644","url":null,"abstract":"Many works effectively improved the aberration correction accuracy by adaptive optics (AO) with a defocus preconditioner, which has been quantitatively demonstrated and the formula of the optimal defocus distance were derived. However, no work has yet quantitatively analyzed the improvement with a scattering preconditioner. Spurred by the gap, we equivalently convert the change of the optical field at the imaging sensor due to scattering to the additional phase on the pupil plane, then derive the model between the scattering screen roughness with the probability of dual wavefront (PDWF) and the proportion of intensity in the cropped area (PICA), respectively. The experimental results show that the correction accuracy is significantly improved as PDWF decreases, and deteriorated after PICA less than 95%, which is consistent with the conclusion under the defocus preconditioner. Furthermore, we propose theoretical guidance on how to select the scattering screen roughness based on the AO parameters to meet the requirements of high accuracy and real-time performance.","PeriodicalId":358486,"journal":{"name":"2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130169984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-16DOI: 10.1109/ICECE56287.2022.10048603
Chen Jundong, Wang Peng, Feng Xiaoyun
In this paper, formula deduction and simulation analysis are conducted for the principle composition and configuration form of short-wave vehicle full-loop no-Blind-area antenna. From the generation of the short-wave blind area, it focuses how to eliminate the short-wave blind area, analyze how the full-loop antenna eliminates the short-wave blind area and describe the basic principle of the short-wave full-loop no-blind-area antenna with the detailed principle simulation analysis of its composition. Finally, the principle and characteristics of each component are analyzed, and the rational design scheme of the full-loop non-blind-area antenna is comparatively thorough investigated in the paper.
{"title":"An Extensive Survey on Short-Wave Vehicle Full-Loop No-Blind-Area Antenna","authors":"Chen Jundong, Wang Peng, Feng Xiaoyun","doi":"10.1109/ICECE56287.2022.10048603","DOIUrl":"https://doi.org/10.1109/ICECE56287.2022.10048603","url":null,"abstract":"In this paper, formula deduction and simulation analysis are conducted for the principle composition and configuration form of short-wave vehicle full-loop no-Blind-area antenna. From the generation of the short-wave blind area, it focuses how to eliminate the short-wave blind area, analyze how the full-loop antenna eliminates the short-wave blind area and describe the basic principle of the short-wave full-loop no-blind-area antenna with the detailed principle simulation analysis of its composition. Finally, the principle and characteristics of each component are analyzed, and the rational design scheme of the full-loop non-blind-area antenna is comparatively thorough investigated in the paper.","PeriodicalId":358486,"journal":{"name":"2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122007221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-16DOI: 10.1109/ICECE56287.2022.10048605
Yuqiao Su, Bin Ren, Kunhua Zhang
Traffic flow prediction is the core problem of traffic planning management and the basic basis of traffic control. However, the existing methods often do not fully consider the differences of different road nodes when modeling spatial dependence. In this paper, we propose a traffic flow prediction framework called graph neural ordinary differential equation recurrent neural network (GODE-RNN). Our method fuses graph convolution into neural ordinary differential equation to capture the spatial correlation, while the temporal correlation is extracted by sequence-to-sequence model. Specifically, we use neural ordinary differential equation (ODE) to expand the hidden state of graph convolution network, and different weights are used to weight and sum the hidden states of ODE for different road nodes, so that the network can learn the difference of spatial correlation of different road nodes independently. On the real-world data set, our method is significantly better than the baseline.
{"title":"Graph ODE Recurrent Neural Networks for Traffic Flow Forecasting","authors":"Yuqiao Su, Bin Ren, Kunhua Zhang","doi":"10.1109/ICECE56287.2022.10048605","DOIUrl":"https://doi.org/10.1109/ICECE56287.2022.10048605","url":null,"abstract":"Traffic flow prediction is the core problem of traffic planning management and the basic basis of traffic control. However, the existing methods often do not fully consider the differences of different road nodes when modeling spatial dependence. In this paper, we propose a traffic flow prediction framework called graph neural ordinary differential equation recurrent neural network (GODE-RNN). Our method fuses graph convolution into neural ordinary differential equation to capture the spatial correlation, while the temporal correlation is extracted by sequence-to-sequence model. Specifically, we use neural ordinary differential equation (ODE) to expand the hidden state of graph convolution network, and different weights are used to weight and sum the hidden states of ODE for different road nodes, so that the network can learn the difference of spatial correlation of different road nodes independently. On the real-world data set, our method is significantly better than the baseline.","PeriodicalId":358486,"journal":{"name":"2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126714406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-16DOI: 10.1109/ICECE56287.2022.10048656
Wang Guonv
Acquisition acquisition algorithm of key parameters in space field is a method of automatic code generation. The method uses regular expression to automatically match key parameters in documents, extract them, and generate regular C programs that can be compiled according to certain rules. The application of this method greatly improves the development efficiency of software developers, improves the reliability and maintainability of software, lays the foundation for the development of code driven technology based on model driven development, and provides data support.
{"title":"KPA: Automatic Acquisition Algorithm of Key Parameters in Space Field","authors":"Wang Guonv","doi":"10.1109/ICECE56287.2022.10048656","DOIUrl":"https://doi.org/10.1109/ICECE56287.2022.10048656","url":null,"abstract":"Acquisition acquisition algorithm of key parameters in space field is a method of automatic code generation. The method uses regular expression to automatically match key parameters in documents, extract them, and generate regular C programs that can be compiled according to certain rules. The application of this method greatly improves the development efficiency of software developers, improves the reliability and maintainability of software, lays the foundation for the development of code driven technology based on model driven development, and provides data support.","PeriodicalId":358486,"journal":{"name":"2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130829728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-16DOI: 10.1109/ICECE56287.2022.10048661
Qiang Sun, Yue Zhao, Xining Yang, Weiqi Li
In recent years, the rapid growth of network traffic and the emergence of new Internet applications have required optical networks to continuously improve their capacity and flexible transmission capability. Spatial division multiplexed elastic optical networks (SDM-EONs) have become the most promising core architectures for future optical networks with their fine granularity, high capacity, and high transmission rate. In the paper, we study the routing, modulation level, spectrum, and core allocation (MC-RMSCA) problem for multicast services in SDM-EONs, building a network model using all-optical multicast in SDM-EONs, and then propose two heuristic algorithms for the problem to solve MC-RMSCA in dynamic scenarios. Simulation results show that, compared with the shortest-path-tree-based routing, modulation level spectrum, and core allocation (SPT-RMSCA) algorithm, the subtree-assisted routing, modulation level spectrum, and core allocation (STA-RMSCA) algorithm performs better in terms of blocking probability and spectrum utilization.
{"title":"Dynamic Resource Allocation for All-Optical Multicast in Space Division Multiplexed Elastic Optical Networks","authors":"Qiang Sun, Yue Zhao, Xining Yang, Weiqi Li","doi":"10.1109/ICECE56287.2022.10048661","DOIUrl":"https://doi.org/10.1109/ICECE56287.2022.10048661","url":null,"abstract":"In recent years, the rapid growth of network traffic and the emergence of new Internet applications have required optical networks to continuously improve their capacity and flexible transmission capability. Spatial division multiplexed elastic optical networks (SDM-EONs) have become the most promising core architectures for future optical networks with their fine granularity, high capacity, and high transmission rate. In the paper, we study the routing, modulation level, spectrum, and core allocation (MC-RMSCA) problem for multicast services in SDM-EONs, building a network model using all-optical multicast in SDM-EONs, and then propose two heuristic algorithms for the problem to solve MC-RMSCA in dynamic scenarios. Simulation results show that, compared with the shortest-path-tree-based routing, modulation level spectrum, and core allocation (SPT-RMSCA) algorithm, the subtree-assisted routing, modulation level spectrum, and core allocation (STA-RMSCA) algorithm performs better in terms of blocking probability and spectrum utilization.","PeriodicalId":358486,"journal":{"name":"2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115470279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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