Pub Date : 2017-10-01DOI: 10.1109/ICCCHINAW.2017.8355270
Wendong Xu, Guohua Lv
The Cole-Cole model is introduced in layered media of CSAMT to describe induced polarization effect. The Cagniard apparent resistivity amplitude is used to construct the objective function so as to extract IP parameters from CSAMT data. The calculation method of apparent resistivity containing IP effect is given. Then designed extraction algorithm for IP information based least square. In order to solve the objective function value fluctuation wildly and the impact caused by the size difference of model parameters, the general sense objective function is optimized. The detailed calculation process of partial derivative is given. Derived the method of model parameters changing. Finally the effectiveness of the algorithm is verified by experimental testing. The algorithm is useful to extract IP parameters from over two-dimensional medium and other electrical sounding data.
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Pub Date : 2017-10-01DOI: 10.1109/ICCCHINAW.2017.8355283
Jian Guo, Xuefei Zhang, Ruiqi Wang, Xiaofeng Tao
As one of the most important components in IoT system, machine type communication (MTC) will definitely play an increasingly important role in the academia and industry in the near future for 5G application. Currently, most of the access control work concentrates on avoiding preamble collision without considering SINR requirement. In order to further improve the number of effective access devices (EADs), we propose a joint access control and resource allocation. Due to the fact that the main characteristics of MTC, distinct from the conventional cellular network, are massive access and small amount of data, we formulate an indicator function optimization problem, rather than a continuous rate function considered in cellular network, to maximize the number of EADs. This optimization problem is NP-hard and highly complex to solve, so we decouple the problem into two sub-problems, then we utilize convex optimization tool (CVX) and Hungarian algorithm to perform the joint access control and resource allocation under multi-cell scenario. Moreover, we derive the optimal closed-form power allocation under 2-cell scenario based on Lagrange KKT method. Simulation results demonstrate that the proposed joint access control and resource allocation scheme can achieve a significant improvement performance on EADs with fewer iterations, compared to some classic access methods.
{"title":"Joint access control and resource allocation for machine type communications","authors":"Jian Guo, Xuefei Zhang, Ruiqi Wang, Xiaofeng Tao","doi":"10.1109/ICCCHINAW.2017.8355283","DOIUrl":"https://doi.org/10.1109/ICCCHINAW.2017.8355283","url":null,"abstract":"As one of the most important components in IoT system, machine type communication (MTC) will definitely play an increasingly important role in the academia and industry in the near future for 5G application. Currently, most of the access control work concentrates on avoiding preamble collision without considering SINR requirement. In order to further improve the number of effective access devices (EADs), we propose a joint access control and resource allocation. Due to the fact that the main characteristics of MTC, distinct from the conventional cellular network, are massive access and small amount of data, we formulate an indicator function optimization problem, rather than a continuous rate function considered in cellular network, to maximize the number of EADs. This optimization problem is NP-hard and highly complex to solve, so we decouple the problem into two sub-problems, then we utilize convex optimization tool (CVX) and Hungarian algorithm to perform the joint access control and resource allocation under multi-cell scenario. Moreover, we derive the optimal closed-form power allocation under 2-cell scenario based on Lagrange KKT method. Simulation results demonstrate that the proposed joint access control and resource allocation scheme can achieve a significant improvement performance on EADs with fewer iterations, compared to some classic access methods.","PeriodicalId":164833,"journal":{"name":"2017 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133911042","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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