{"title":"QoE Management for 5G New Radio","authors":"Zhang Man, Li Dapeng, Liu Zhuang, Gao Yin","doi":"10.12142/ZTECOM.202103008","DOIUrl":"https://doi.org/10.12142/ZTECOM.202103008","url":null,"abstract":"","PeriodicalId":61991,"journal":{"name":"ZTE Communications","volume":"19 1","pages":"64-72"},"PeriodicalIF":0.0,"publicationDate":"2021-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48102897","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}
{"title":"Semiconductor Optical Amplifier and Gain Chip Used in Wavelength Tunable Lasers","authors":"S. Kenji, Z. Xiaobo","doi":"10.12142/ZTECOM.202103010","DOIUrl":"https://doi.org/10.12142/ZTECOM.202103010","url":null,"abstract":"","PeriodicalId":61991,"journal":{"name":"ZTE Communications","volume":"19 1","pages":"81-87"},"PeriodicalIF":0.0,"publicationDate":"2021-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47189876","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}
Liu Xiuxian, Li Zhetao, Ouyang Yan, Duan Haohua, Xiang Liyao
{"title":"Using UAV to Detect Truth for Clean Data Collection in Sensor‑Cloud Systems","authors":"Liu Xiuxian, Li Zhetao, Ouyang Yan, Duan Haohua, Xiang Liyao","doi":"10.12142/ZTECOM.202103005","DOIUrl":"https://doi.org/10.12142/ZTECOM.202103005","url":null,"abstract":"","PeriodicalId":61991,"journal":{"name":"ZTE Communications","volume":"19 1","pages":"30-45"},"PeriodicalIF":0.0,"publicationDate":"2021-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46435707","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}
Liu Weichen, Shen Mengqi, Zhang Anda, Chen Yiting, Z. Wenqiang
{"title":"Artificial Intelligence Rehabilitation Evaluation and Training System for Degeneration of Joint Disease","authors":"Liu Weichen, Shen Mengqi, Zhang Anda, Chen Yiting, Z. Wenqiang","doi":"10.12142/ZTECOM.202103006","DOIUrl":"https://doi.org/10.12142/ZTECOM.202103006","url":null,"abstract":"","PeriodicalId":61991,"journal":{"name":"ZTE Communications","volume":"19 1","pages":"46-55"},"PeriodicalIF":0.0,"publicationDate":"2021-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42928938","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}
Suning Han, Xiuhua Li, Sun Chuan, Xiaofei Wang, Victor C. M. Leung
{"title":"RecCac: Recommendation-Empowered Cooperative Edge Caching for Internet of Things","authors":"Suning Han, Xiuhua Li, Sun Chuan, Xiaofei Wang, Victor C. M. Leung","doi":"10.12142/ZTECOM.202102002","DOIUrl":"https://doi.org/10.12142/ZTECOM.202102002","url":null,"abstract":"Edge caching is an emerging technology for supporting massive content access in mobile edge networks to address rapidly growing Internet of Things (IoT) services and con⁃ tent applications. However, the edge server is limited with the computation/storage capacity, which causes a low cache hit. Cooperative edge caching jointing neighbor edge servers is re⁃ garded as a promising technique to improve cache hit and reduce congestion of the net⁃ works. Further, recommender systems can provide personalized content services to meet us⁃ er’s requirements in the entertainment-oriented mobile networks. Therefore, we investigate the issue of joint cooperative edge caching and recommender systems to achieve additional cache gains by the soft caching framework. To measure the cache profits, the optimization problem is formulated as a 0–1 Integer Linear Programming (ILP), which is NP-hard. Spe⁃ cifically, the method of processing content requests is defined as server actions, we deter⁃ mine the server actions to maximize the quality of experience (QoE). We propose a cachefriendly heuristic algorithm to solve it. Simulation results demonstrate that the proposed framework has superior performance in improving the QoE.","PeriodicalId":61991,"journal":{"name":"ZTE Communications","volume":"19 1","pages":"2-10"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43233480","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}
{"title":"BPPF: Bilateral Privacy-Preserving Framework for Mobile Crowdsensing","authors":"Liu Junyu, Yongjian Yang, Wang En","doi":"10.12142/ZTECOM.202102004","DOIUrl":"https://doi.org/10.12142/ZTECOM.202102004","url":null,"abstract":"With the emergence of mobile crowdsensing (MCS), merchants can use their mo⁃ bile devices to collect data that customers are interested in. Now there are many mobile crowdsensing platforms in the market, such as Gigwalk, Uber and Checkpoint, which pub⁃ lish and select the right workers to complete the task of some specific locations (for example, taking photos to collect the price of goods in a shopping mall). In mobile crowdsensing, in or⁃ der to select the right workers, the platform needs the actual location information of workers and tasks, which poses a risk to the location privacy of workers and tasks. In this paper, we study privacy protection in MCS. The main challenge is to assign the most suitable worker to a task without knowing the task and the actual location of the worker. We propose a bilateral privacy protection framework based on matrix multiplication, which can protect the location privacy between the task and the worker, and keep their relative distance unchanged.","PeriodicalId":61991,"journal":{"name":"ZTE Communications","volume":"19 1","pages":"20-28"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46381110","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}
Lou Kaihao, Y. Yongjian, Yang Funing, Z. Xingliang
{"title":"Maximum-Profit Advertising Strategy Using Crowdsensing Trajectory Data","authors":"Lou Kaihao, Y. Yongjian, Yang Funing, Z. Xingliang","doi":"10.12142/ZTECOM.202102005","DOIUrl":"https://doi.org/10.12142/ZTECOM.202102005","url":null,"abstract":"Out-door billboard advertising plays an important role in attracting potential cus⁃ tomers. However, whether a customer can be attracted is influenced by many factors, such as the probability that he/she sees the billboard, the degree of his/her interest, and the detour dis⁃ tance for buying the product. Taking the above factors into account, we propose advertising strategies for selecting an effective set of billboards under the advertising budget to maximize commercial profit. By using the data collected by Mobile Crowdsensing (MCS), we extract po⁃ tential customers’implicit information, such as their trajectories and preferences. We then study the billboard selection problem under two situations, where the advertiser may have only one or multiple products. When only one kind of product needs advertising, the billboard se⁃ lection problem is formulated as the probabilistic set coverage problem. We propose two heu⁃ ristic advertising strategies to greedily select advertising billboards, which achieves the expect⁃ ed maximum commercial profit with the lowest cost. When the advertiser has multiple prod⁃ ucts, we formulate the problem as searching for an optimal solution and adopt the simulated annealing algorithm to search for global optimum instead of local optimum. Extensive experi⁃ ments based on three real-world data sets verify that our proposed advertising strategies can achieve the superior commercial profit compared with the state-of-the-art strategies.","PeriodicalId":61991,"journal":{"name":"ZTE Communications","volume":"19 1","pages":"29-43"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48690649","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}