{"title":"Resource Allocation for Outage Probability Minimization in Cognitive Wireless Powered Communication Networks","authors":"Qun Li, Ding Xu","doi":"10.1109/ICCT46805.2019.8947186","DOIUrl":"https://doi.org/10.1109/ICCT46805.2019.8947186","url":null,"abstract":"This paper considers a cognitive wireless powered communication network (CWPCN) consisting of a cognitive base station (CBS) and a set of secondary users (SUs) sharing spectrum with a primary user (PU). The transmission time is assumed to be divided into two parts, where the CBS transfers energy in the downlink during the first time part, and the SUs use the harvested energy to transmit in the uplink based on the time-division multiple access (TDMA) during the second time part. We investigate the problem for minimizing the average outage probability of the SUs by jointly optimizing the time allocation and the downlink transmit power allocation under the interference power and the transmit power constraints and propose a heuristic algorithm to solve it. Simulations show that the proposed algorithm greatly outperforms the benchmark algorithms.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128577531","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":"Study on the Frequency-Modulated Continuous-Wave LiDAR Mutual Interference","authors":"Il-Pyeong Hwang, Seok-jun Yun, Chang-Hee Lee","doi":"10.1109/ICCT46805.2019.8947067","DOIUrl":"https://doi.org/10.1109/ICCT46805.2019.8947067","url":null,"abstract":"We present mutual interference problems in the frequency-modulated continuous-wave (FMCW) LiDAR. There are two types of the mutual interference, the transient interference, and the in-band interference. We show that the former case induces degradation of signal-to-noise ratio (SNR) in measurement, and the latter case can introduce ghost images and/or objects in 3-D mapping.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124675131","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":"NOMA-based Integrated Satellite-Terrestrial Multi-relay Networks with Hardware Impairments and Partial Relay Selection Scheme","authors":"K. Guo, Zengxi Ji, Bohang Yang, Xueling Wang","doi":"10.1109/ICCT46805.2019.8947073","DOIUrl":"https://doi.org/10.1109/ICCT46805.2019.8947073","url":null,"abstract":"This paper investigates the impacts of hardware impairments (HIs) and partial relay selection (PRS) scheme on non-orthogonal multiple access (NOMA)-based integrated satellite-terrestrial multi-relay networks (ISTMRNs). NOMA technology can bring us significant spectral efficiency, high frequency utilization ratio and reliability for it can transmit signal to multiple destinations simultaneously. Besides, we utilize PRS scheme to obtain better system performance. Specifically, we derive the closed-form expression of the outage probability (OP) for the considered system in the presence of HIs and PRS scheme. To gain further insights at high signal-to-noise ratios (SNRs), the asymptotic expression for the OP is also derived. Numerical Monte Carlo (MC) results are provided to verify the correctness","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124699868","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}
Jie Jiang, Y. Jiang, Xiaoyan Qiu, Boda Li, Junnan Shi, Pengfei Wang
{"title":"Noncontact Sleep Stage Classification Based on Multi-sensor Feature Level Fusion","authors":"Jie Jiang, Y. Jiang, Xiaoyan Qiu, Boda Li, Junnan Shi, Pengfei Wang","doi":"10.1109/ICCT46805.2019.8947162","DOIUrl":"https://doi.org/10.1109/ICCT46805.2019.8947162","url":null,"abstract":"This paper presents a new method to realize noncontact sleep stage classification which is based on multi-sensor feature level fusion. The method has be implemented by processing vital signs related to sleep and extracting features from continues wave (CW) Doppler radar sensor and audio sensor. And a novel feature level fusion model is proposed and trained based on machine learning algorithm. Assisting with Polysomnography (PSG) standard sleep stages, the feature level fusion model has achieved high accuracy in noncontact sleep stage classification.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129659728","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":"Finite Feedback Interference Alignment Algorithm Based on Upper Triangular Decomposition","authors":"Xianglin Wu","doi":"10.1109/ICCT46805.2019.8947000","DOIUrl":"https://doi.org/10.1109/ICCT46805.2019.8947000","url":null,"abstract":"In the receiving system with multi-cell edge users, the traditional limited feedback precoding method has quantization error and the system performance is not ideal. Therefore, a limited feedback precoding algorithm based on upper triangular decomposition is proposed. First, Adjust the system channel matrix by considering the channel quality of the cell user; Secondly, The joint channel is triangulated to obtain an equivalent model, and all users’ data streams are integrated for water injection method power allocation; Finally, the precoding matrix and the interference suppression matrix are designed by minimizing the interference leakage and the minimum mean square error criterion. The simulation results show that the proposed algorithm can reduce the quantization error and improve the performance of the system.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130505441","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}
Na Li, Dongmei Zhang, Kui Xu, Meng Wang, Wei Xie, Jianhui Xu, Qingsong Zhang, Ximing Li
{"title":"NOMA-aided Hybrid SWIPT for Full-Duplex Massive MIMO Systems","authors":"Na Li, Dongmei Zhang, Kui Xu, Meng Wang, Wei Xie, Jianhui Xu, Qingsong Zhang, Ximing Li","doi":"10.1109/ICCT46805.2019.8947226","DOIUrl":"https://doi.org/10.1109/ICCT46805.2019.8947226","url":null,"abstract":"This paper studies the hybrid simultaneously wireless information and power transfer (SWIPT) protocol for full-duplex (FD) massive multiple-input multiple-output (MIMO) systems. A wireless energy transmission method combining time-switching (TS) and power-splitting (PS) is proposed to enable the sensor to receive more energy from the base station (BS). In the case of relatively concentrated sensor or user distribution, non-orthogonal multiple access (NOMA) is applied during the information transmission phase. At last, we optimize the beamforming matrix to maximize the downlink (DL) sum-rate. Simulation results show that the proposed NOMA-aided hybrid SWIPT protocol outperforms traditional schemes.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130534309","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":"5G Edge Cloud Networking and Case Analysis","authors":"Lyu Huazhang, Zhonghao Zhang, Shuai Gao","doi":"10.1109/ICCT46805.2019.8947289","DOIUrl":"https://doi.org/10.1109/ICCT46805.2019.8947289","url":null,"abstract":"Edge cloud will play an important role in the era of 5G. As an important part in 5G network architecture, it not only provides sinking of cloud resources for the edge deployment of 5G virtualization network elements, but also provides various platform capabilities for third-party applications through the ability opening platform, enabling innovative business to improve user experience. This paper introduces the network structure and evolution mode of 5G NSA and 5G SA MEC edge cloud, analyzes several kinds of factors that affect operators’ construction of MEC edge cloud, and gives the ideal structure composition of MEC edge cloud platform. At last, it lists the key technology of edge cloud and mature scenario case analysis.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130674707","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":"Improving 3D NAND Flash Memory Read Performance by Modeling the Read Offset","authors":"Weijie Lin, Jing Chen, Xuhang Zhang, Zhiyuan Cheng","doi":"10.1109/ICCT46805.2019.8947110","DOIUrl":"https://doi.org/10.1109/ICCT46805.2019.8947110","url":null,"abstract":"The shift of the threshold voltage distribution in 3D (three dimensional) NAND flash memory can lead to the overlapping of adjacent states, and subsequently read error. By merely adopting the default value provided by the manufacturer, the read offset in the controller could not keep low raw bit error rate (RBER) in the retention process. In this paper, we have developed a read offset model based on the dimensions of word-line (WL) and the shift of retention variations. Through mining the offline data, this new model can adjust to a more suitable read offset during retention variations. We have further proposed three different kinds of read voltage management strategies. Our experiment results show that this new model can optimize the read offset value and reduce the RBER effectively compared to the default setting provided by the manufacturer, and thus improve the reliability and performance of flash memory.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123972938","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}
Guo-lin Zhang, L. Ge, Yu-nuo Yang, Yu-qi Liu, Kexue Sun
{"title":"Fused Confidence for Scene Text Detection via Intersection-over-Union","authors":"Guo-lin Zhang, L. Ge, Yu-nuo Yang, Yu-qi Liu, Kexue Sun","doi":"10.1109/ICCT46805.2019.8947307","DOIUrl":"https://doi.org/10.1109/ICCT46805.2019.8947307","url":null,"abstract":"CNN-based scene text detection methods have achieved superior results. They are mostly implemented on the architecture of full convolution networks and non-maximum suppression (NMS) which combines two tasks of text classification and localization. However, in the NMS procedure, most filter the bounding boxes according to the classification confidence. This makes appropriately those well-located text boxes suppressed during NMS. In this paper, we propose an intersection-over-union (IOU) network to predict the IOU between the bounding box and the matched ground-truth. Then, the predicted IOU as localization confidence will be fused with the classification confidence. Furthermore, in the NMS, the classification confidence is replaced by the fused confidence as the ranking standard to preserve the accurately located text boxes. We experimented on the ICDAR2011 and ICDAR2013 datasets, the results show that the method proposed in this paper can effectively improve the accuracy of text detection.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116330619","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":"An Improved Sound Source Location Method for MEMS Microphone Array","authors":"Bingyang Li, Tailiang Ju","doi":"10.1109/ICCT46805.2019.8947027","DOIUrl":"https://doi.org/10.1109/ICCT46805.2019.8947027","url":null,"abstract":"MEMS (Micro Electro Mechanical System) microphone array is the most commonly used microphone array selection at this stage. However, in actual use, the microphones cannot receive omnidirectional audio signals, when they are soldered on the other side of the PCB. Therefore, for the practical application of MEMS microphone array, this paper proposes a new microphone array receiving signal model, and improves the traditional beamforming algorithm, in order to improve the resolution of MEMS microphone when receiving signals at small angles. At the same time this paper built a practical test system to verify the reliability of the new model.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":"24 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113977860","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}