Bingyang Han, Zhenghuan Wang, Heng Liu, Shengxin Xu, Xiangyuan Bu, Jianping An
{"title":"Shadow fading assisted device-free localization for indoor environments","authors":"Bingyang Han, Zhenghuan Wang, Heng Liu, Shengxin Xu, Xiangyuan Bu, Jianping An","doi":"10.1109/WCSP.2016.7752605","DOIUrl":"https://doi.org/10.1109/WCSP.2016.7752605","url":null,"abstract":"Device-free localization (DFL) localizes the target by employing the variation of received signal strength (RSS) due to the presence of the target which wears no device. The existing fingerprint-based DFL (FDFL) method simply compares the online RSS variations with the radio map and does not care about how RSS variation is caused. However, we have found that when some links are shadowed by the target, even in indoor environments, the RSS of the links will experience large attenuation. Hence, in this paper, we propose to leverage shadowed links to enhance the performance of FDFL method. Specifically, we first detect the shadowed links in the monitored region, where the detection takes both the RSS variations and fade levels of the links into consideration. Afterwards, we reformulate the fingerprint matching by reducing the search space into the shadow region for improving the localization accuracy. Moreover, we propose a geometrical localization (GL) method if shadow regions of the detected shadowed links intersect. The experimental results show that the performance of the proposed method has been improved significantly compared to the traditional FDFL method.","PeriodicalId":158117,"journal":{"name":"2016 8th International Conference on Wireless Communications & Signal Processing (WCSP)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128932029","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":"A multi-band power allocation scheme for green energy-efficient cognitive radio networks","authors":"Quanquan Wang, Yulong Zou, Jia Zhu","doi":"10.1109/WCSP.2016.7752694","DOIUrl":"https://doi.org/10.1109/WCSP.2016.7752694","url":null,"abstract":"Green cognitive radio has attracted significant research attention as an effective means of alleviating spectrum scarcity and energy-saving problem in wireless communications. In this paper, we focus on the power allocation for maximizing the transmission throughput and energy efficiency (EE) of secondary users (SUs). More specifically, we propose a multi-band power allocation scheme, where multiple idle spectrum bands detected in spectrum sensing phase are simultaneously utilized for the secondary transmission. We formulate the power allocation between multiple detected idle spectrum bands with the consideration of mutual interference between the primary user (PU) and SU which is referred to as multi-band power allocation (MBPA). We prove that the formulated MBPA problem is convex and consider the use of sequential unconstrained minimization technique (SUMT) interior point method for solving the formulated problem. Finally, numerical results show the advantage of proposed MBPA scheme over conventional equal-power allocation (EPA) and best-band selection (BBS) methods in terms of the energy efficiency.","PeriodicalId":158117,"journal":{"name":"2016 8th International Conference on Wireless Communications & Signal Processing (WCSP)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127367962","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":"Speech enhancement using bone- and air-conducted signals and adaptive GFLANN filter","authors":"Ran Xiao, Yegui Xiao, Hongyun Wei, K. Hasegawa","doi":"10.1109/WCSP.2016.7752692","DOIUrl":"https://doi.org/10.1109/WCSP.2016.7752692","url":null,"abstract":"It has been widely recognized that conventional techniques and algorithms for speech enhancement indicate severe performance degradation when operated in a very harsh noise environment. In recent years, linear and nonlinear adaptive noise cancellers (ANC) have been developed for speech denoising, which use both bone- and air-conducted speech signals simultaneously to improve the enhancement quality. In this paper, we propose a nonlinear ANC which consists of a linear FIR filter and a nonlinear filter based on a generalized functional link artificial neural network (FLANN, GFLANN). Both filters are equipped in a parallel form. The proposed ANC is applied to real bone- and air-conducted speech measurements. It is revealed by extensive simulations that the proposed ANC is capable of recovering the high-frequency components of the speech signal even in a very noisy situation, and outperforms its counterparts that use the FIR filter, Volterra filter, and FLANN.","PeriodicalId":158117,"journal":{"name":"2016 8th International Conference on Wireless Communications & Signal Processing (WCSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129162063","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":"Dynamic modeling for route-based motions","authors":"Linfeng Xu, Yan Liang, Feng Yang","doi":"10.1109/WCSP.2016.7752488","DOIUrl":"https://doi.org/10.1109/WCSP.2016.7752488","url":null,"abstract":"This paper is concerned with the modeling problem of route-based motions. A typical route-based motion - straight-line motion - is modeled. Distinct from the conventional bottom-up strategy of the general motion modeling, the proposed modeling adopts a combination of top-bottom and bottom-up strategies. The process noises of the route-based motion model is discovered to be negatively correlated rather than the conventionally assumed white, which is a significant characteristic of such motions. Performance of the route-aided tracking algorithms is evaluated on an air traffic control tracking scenario. Simulation results demonstrate their superiority over the classical target tracking algorithm in terms of accuracy.","PeriodicalId":158117,"journal":{"name":"2016 8th International Conference on Wireless Communications & Signal Processing (WCSP)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124407736","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":"Hierarchical beam selection in mmWave multiuser MIMO systems with one-bit analog phase shifters","authors":"Shijian Gao, Yue Dong, Chen Chen, Ye Jin","doi":"10.1109/WCSP.2016.7752457","DOIUrl":"https://doi.org/10.1109/WCSP.2016.7752457","url":null,"abstract":"Hybrid digital/analog precoding has been widely utilized in millimeter-wave (mmWave) multiple-input multiple-output (MIMO) systems. Compared to the digital precoder, it is more challenging to design the analog precoder because of the constant amplitude (CA) constraints on the entries. Although high-resolution analog phase shifters (APSs) can provide more choices in phase adjustment, it also adds the difficulty in designing effective codebooks for beam selection. In addition, the finer APSs are accompanied by the higher hardware cost and power consumption. Driven by the low hardware cost and power consumption, we employ one-bit APSs to perform analog precoding. A simple codebook for hierarchical searching is designed. Then a low-complexity hierarchical beam selection algorithm is devised to reduce the training overhead. An approximate expression of spectral efficiency after hybrid precoding in one-bit-APS system is also derived, which is close to the simulation results in medium signal-to-noise ratio (SNR). Despite a performance degradation, both the theoretical analysis and the simulation results show that the performance is still comparable to the existing alternatives with much lower training overhead and hardware cost. Therefore, the proposed one-bit-APS system can be an acceptable tradeoff in practical implementation.","PeriodicalId":158117,"journal":{"name":"2016 8th International Conference on Wireless Communications & Signal Processing (WCSP)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127301686","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":"Paths sharing based FP-growth data mining algorithms","authors":"Sha Ji, Deng-yin Zhang, Liu Zhang","doi":"10.1109/WCSP.2016.7752497","DOIUrl":"https://doi.org/10.1109/WCSP.2016.7752497","url":null,"abstract":"Due to the network alarm data in cloud environment has the characteristics of massive, redundancy, relevance, etc., traditional FP-Growth algorithm has memory and computing time double bottleneck. Therefore, this paper presents an improved FP-Growth algorithm, which based on sharing path. It scans the cube instead of multiple scans of the entire database, adopting structured storage of alarm data model, sharing same path to reduce recursive operations and using MapReduce framework for parallel computing. Experimental results show that the algorithm has high efficiency, good scalability and reliability. It can also identify the relationship of each device when alarm condition occurs, reduce duplication of alarms and provide basis for equipment maintenance and network management.","PeriodicalId":158117,"journal":{"name":"2016 8th International Conference on Wireless Communications & Signal Processing (WCSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132676819","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}
Dan Qiao, Weiqiang Tan, Yuyan Zhao, Chao-Kai Wen, Shi Jin
{"title":"Spectral efficiency for massive MIMO zero-forcing receiver with low-resolution ADC","authors":"Dan Qiao, Weiqiang Tan, Yuyan Zhao, Chao-Kai Wen, Shi Jin","doi":"10.1109/WCSP.2016.7752527","DOIUrl":"https://doi.org/10.1109/WCSP.2016.7752527","url":null,"abstract":"In this paper, we investigate the achievable uplink spectral efficiency (SE) and its approximate analytical expression in massive multi-input multi-output (MIMO) systems, using finite precision analog-digital converters (ADCs) and zeroforcing (ZF) technique at the receivers. To analyze the system performance, we adopt the additive quantization noise model, where the quantization noise is treated as an additive and independent noise. Analytical results show that the achievable SE is related to the transmitted power of each user, the number of BS antennas and quantization bins. Numerical results validate the accuracy of our derived result and show that increasing the number of BS antennas can compensate the loss in system performance resulted from low-resolution ADCs, which corroborates the feasibility of installing finite precision ADCs in practical massive MIMO systems.","PeriodicalId":158117,"journal":{"name":"2016 8th International Conference on Wireless Communications & Signal Processing (WCSP)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133768182","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":"PPViBe: Privacy preserving background extractor via secret sharing in multiple cloud servers","authors":"Xin Jin, Yaming Wu, Xiaodong Li, Yuzhen Li, Geng Zhao, Kui Guo","doi":"10.1109/WCSP.2016.7752569","DOIUrl":"https://doi.org/10.1109/WCSP.2016.7752569","url":null,"abstract":"Recently, with the maturity of cloud services and the development of distributed computing, increasing images and video data are stored in the cloud. However, cloud services are generally provided by the third party entities. In addition, the images and video which are stored in the cloud mostly depend on the security of the cloud servers, while the data are not encrypted, which is a great threat to the users' privacy. In this paper, we propose a method of privacy preserving background extraction of video surveillance in multiple cloud servers based on Chinese Remainder Theorem (CRT). The client uses the CRT to divide a video frame into several encrypted frames, which are sent to the corresponding cloud servers separately. The cloud servers conduct the algorithm of Visual Background Extractor (ViBe) in the encrypted video frames, hereafter, the results obtained are transmitted to the end server, in which the results are decrypted and combined to get the final extraction results in original videos. Finally, the results are transmitted back to the client. The proposed method has several advantages: (1) Based on our encryption method, the original extraction method in the original videos need not be changed; (2) Each cloud server learns only a portion of the video frame information, yet they cannot recover the original video even if the data is leaked; (3) Multiple cloud servers can improve the security of data and enhance the processing efficiency. The experimental results on several video surveillance datasets shows that our method can correctly extract the background as the original ViBe algorithm does while protecting the privacy of the client video data.","PeriodicalId":158117,"journal":{"name":"2016 8th International Conference on Wireless Communications & Signal Processing (WCSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130395922","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":"Joint precoding and antenna selection for large-scale MU-MIMO uplink systems","authors":"Xiongfei Zhai, Qingjiang Shi, Yunlong Cai, Minjian Zhao","doi":"10.1109/WCSP.2016.7752522","DOIUrl":"https://doi.org/10.1109/WCSP.2016.7752522","url":null,"abstract":"This paper considers the uplink of multiuser multiple-input multiple-output (MU-MIMO) systems, where, several mobile stations (MSs) cooperatively transmit hybrid messages, including common messages and private messages, to a single base station (BS). We aim to jointly design transmit precoding at the MSs side and antenna selection at the BS side to maximize the achievable system throughput. The problem at hand is nonconvex and difficult to solve mainly due to the antenna selection constraint. By exploiting the problem structure and linear relaxation, we propose using Frank-Wolfe (FW) method and the well-known weighted mean-square error minimization (WMMSE) approach to tackle the problem, leading to an efficient iterative algorithm. The convergence performance of the proposed algorithm is analyzed and its effectiveness is verified by numerical examples in terms of the achieved system throughput.","PeriodicalId":158117,"journal":{"name":"2016 8th International Conference on Wireless Communications & Signal Processing (WCSP)","volume":"107 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130532371","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":"A novel method of Wi-Fi indoor localization based on channel state information","authors":"Jinsong Li, Yunzhou Li, Xinsheng Ji","doi":"10.1109/WCSP.2016.7752710","DOIUrl":"https://doi.org/10.1109/WCSP.2016.7752710","url":null,"abstract":"Traditional Wi-Fi indoor localization system based on big data technique suffers from great degradation due to the instability and low space distinguish ability of received signal strength (RSS). Replacing RSS with channel state information (CSI) is proven to be an efficient method. However, not all CSI raw data contribute equally to the localization performance. The computational cost of fingerprint database is unacceptable as well. In this paper, we propose a novel method of Wi-Fi indoor localization based on CSI. A fast orthogonal search (FOS) algorithm is utilized to calculate the weights of CSI raw data collected from the wireless network interface card (NIC), reducing the database at the same time. Different weights of the features are then used as the input of a back-propagation (BP) neural network, conducting weighted training. We implement the system and experimentally evaluate its performance in the typical laboratory scenario. The performance of the proposed system is compared with several existing systems. Result shows that the proposed system has a 13% improvement in accuracy and a 14% improvement in execute time. The average distance error is 1.5702m.","PeriodicalId":158117,"journal":{"name":"2016 8th International Conference on Wireless Communications & Signal Processing (WCSP)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130630339","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}