2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)最新文献_第3页

Deep Reinforcement Learning for Dynamic Access Control with Battery Prediction for Mobile-Edge Computing in Green IoT Networks 绿色物联网移动边缘计算中电池预测动态访问控制的深度强化学习

2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2019-10-01 DOI: 10.1109/WCSP.2019.8927946

Lijuan Xu, Meng Qin, Qinghai Yang, K. Kwak

{"title":"Deep Reinforcement Learning for Dynamic Access Control with Battery Prediction for Mobile-Edge Computing in Green IoT Networks","authors":"Lijuan Xu, Meng Qin, Qinghai Yang, K. Kwak","doi":"10.1109/WCSP.2019.8927946","DOIUrl":"https://doi.org/10.1109/WCSP.2019.8927946","url":null,"abstract":"Mobile Edge Computing (MEC) technology has emerged as a promising paradigm to reduce the energy consumption for the resource-constrained and energy-limited Internet of Things (IoT) networks. In this paper, benefiting from energy harvesting technique (EH), we study the dynamic MEC-access control problem for maximizing the long-term average uplink transmission rate whilst minimizing the transmission energy consumption for green IoT networks, in which the IoT device is powered by a rechargeable battery that can harvest energy from the surrounding environments. In particular, this problem is formulated as a Markov decision process with system dynamics unknown. On accounting of the dynamics of the wireless channel state, the energy arrival, and the mobility of the IoT device, a Long Short-Term Memory (LSTM) enhanced Deep Q-Network (DQN) based (LSDQN) access control algorithm is proposed for the IoT network. In the proposed algorithm, the LSTM model is used to predict the battery status for assisting the IoT device to determine the optimal access control decision by DQN with the target of maximizing the average uplink rate whilst minimizing the energy consumption. Finally, extensive simulation results verify the performance of the proposed algorithm.","PeriodicalId":108635,"journal":{"name":"2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"24 5 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":"126002563","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}

引用次数: 7

Feature Extraction Based on Manifold Learning for Radio Fingerprint 基于流形学习的射频指纹特征提取

2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2019-10-01 DOI: 10.1109/WCSP.2019.8928088

Q. Pu, Tianshu Tang, J. Ng, Fawen Zhang

{"title":"Feature Extraction Based on Manifold Learning for Radio Fingerprint","authors":"Q. Pu, Tianshu Tang, J. Ng, Fawen Zhang","doi":"10.1109/WCSP.2019.8928088","DOIUrl":"https://doi.org/10.1109/WCSP.2019.8928088","url":null,"abstract":"Wireless Local Area Network (WLAN) fingerprinting has been extensively studied for indoor localization due to the pervasive facilities. Conventional fingerprint database is composed of a set of raw Received Signal Strength (RSS) which is not processed to features. Even though it provides adequate results in some cases, but for large-scale environment, it brings the storage problem and computational complexity due to the high dimensionality. To address these problems, this paper presents a feature extraction algorithm using a manifold learning called T-distributed Stochastic Neighbor Embedding (TSNE) which extracts these non-linear fingerprint features and reduces the dimensionality simultaneously at offline stage. Then to increase positioning accuracy, out-of-sample extension method is proposed to process the online record to achieve the same dimensionality as the reduced offline database. Furthermore, when facing the major bottleneck of dimensionality reduction (DR) technologies that determining the proper value of dimensionality, we utilize intrinsic dimensionality estimation method to obtain the best dimensionality previously. Experiments are conducted in an actual indoor large-scale environment, and the results demonstrate our approach performs perfectly which reduces the original dimensionality 168 to 10 and achieves better position accuracy simultaneously.","PeriodicalId":108635,"journal":{"name":"2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"26 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":"131389687","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}

引用次数: 0

Intelligent Coordinated Task Scheduling in Space-Air-Ground Integrated Network 天空地一体化网络中的智能协同任务调度

2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2019-10-01 DOI: 10.1109/WCSP.2019.8928112

Cuiqin Dai, Xian Li, Qianbin Chen

{"title":"Intelligent Coordinated Task Scheduling in Space-Air-Ground Integrated Network","authors":"Cuiqin Dai, Xian Li, Qianbin Chen","doi":"10.1109/WCSP.2019.8928112","DOIUrl":"https://doi.org/10.1109/WCSP.2019.8928112","url":null,"abstract":"The Space-Air-Ground Integrated Network (SAGIN) is a new network structure integrating satellite systems, air networks and ground communications to achieve high throughput and reliability for data delivery. To realize the efficient data delivery and task management in SAGIN, task scheduling should be designed. In this paper, we first present a SAGIN model to reduce the number of satellite attitude adjustment and increase task scheduling time, which is constructed by satellites, Unmanned Aerial Vehicles (UAVs), and ground stations. Then, the scheduling problem in SAGIN is formulated to maximize sum priorities of successfully scheduled tasks under some constrains (e.g., switch time, storage capacity, etc.). After that, an intelligent coordinated scheduling algorithm named APSO-ICSA is proposed with an Adaptive Particle Swarm Optimization (APSO). In APSO-ICSA, three task scheduling processes of collection, storage and transmission are considered jointly for resource interaction, and the global and local search capabilities of particles are adjusted dynamically with adaptive inertia weight. Additionally, a two-criterion resource allocation method is developed for less scheduling conflict, and the scheduling order is determined in virtue of the task priority and deadline. Finally, simulation results show that the proposed APSO-ICSA has superiority both in the sum priority and guarantee ratio.","PeriodicalId":108635,"journal":{"name":"2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"16 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":"130018933","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}

引用次数: 9

Resource Allocation in Opportunistic Cooperative Cognitive Radio Network with PU's Statistical Delay QoS Provisioning 基于PU统计延迟的机会协作认知无线网络资源分配

2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2019-10-01 DOI: 10.1109/WCSP.2019.8927890

Tao Wang, Yichen Wang, Zhuang Li, Zhangnan Wang

{"title":"Resource Allocation in Opportunistic Cooperative Cognitive Radio Network with PU's Statistical Delay QoS Provisioning","authors":"Tao Wang, Yichen Wang, Zhuang Li, Zhangnan Wang","doi":"10.1109/WCSP.2019.8927890","DOIUrl":"https://doi.org/10.1109/WCSP.2019.8927890","url":null,"abstract":"Cooperation in cognitive radio network (CRN) can improve the performance of both primary user (PU) and secondary user (SU) while guaranteeing PU's quality-of-service (QoS). In this paper, we propose a joint time slot and power allocation policy for an opportunistic cooperative cognitive radio network (OCCRN) where PU and SU can opportunistically cooperate with each other to improve the system performance. The proposed scheme aims at two-fold benefits that can improve SU's throughput and reduce PU's power consumption while protecting PU's statistical delay QoS provisioning. According to the theory of effective capacity, the statistical delay QoS requirement can be converted into the requirement of the effective capacity. Thus, we formulated a multi-objective optimization problem maximizing SU's effective capacity and minimizing PU's average power consumption subject to PU's statistical delay requirement and SU's power budget. With the weighting method, the multi-objective optimization problem is transformed into a single-objective optimization problem which is verified as convex and then solved by the Lagrangian dual method. Utilizing the proposed resource allocation policy, the OCCRN first chooses the transmission mode for each frame and dynamically adjusts the time slot and transmission power of both PU and SU to optimize the two-fold benefits under given constraints. Simulation results demonstrate the trade-off between SU's throughput and PU's power consumption under diverse statistical delay QoS requirements, illustrating how PU and SU cooperate with each other to achieve optimal performance.","PeriodicalId":108635,"journal":{"name":"2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)","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":"130090516","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}

引用次数: 0

Hybrid Beamforming for MISO Multicasting with Finite-Resolution Phase Shifters 具有有限分辨率移相器的MISO多播混合波束形成

2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2019-10-01 DOI: 10.1109/WCSP.2019.8928036

Junwei Wang, Xiaoling Hu, Jiangcai Zhu, C. Zhong, Zhaoyang Zhang

引用次数: 0

Discovering Urban Functional Regions with Call Detail Records and Points of Interest: A Case Study of Guangzhou City 基于通话记录和兴趣点的城市功能区挖掘——以广州市为例

2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2019-10-01 DOI: 10.1109/WCSP.2019.8927961

Sihui Zheng, Shaohang Xie, Xiang Chen

{"title":"Discovering Urban Functional Regions with Call Detail Records and Points of Interest: A Case Study of Guangzhou City","authors":"Sihui Zheng, Shaohang Xie, Xiang Chen","doi":"10.1109/WCSP.2019.8927961","DOIUrl":"https://doi.org/10.1109/WCSP.2019.8927961","url":null,"abstract":"Urban spatial structure is becoming increasingly complex with the development of cities and there are usually regions of different functions in a city. Understanding the distribution of these functional regions is significant for urban management and planning. The rapid growth of mobile phone users and telecommunication data motivates us to utilize a topic-modeling-based method using call detail records (CDRs) and points of interest (POIs) for urban functional region discovering. In this paper, we describe a data-driven framework based on latent topic model. Specially, we propose a method to obtain the human mobility patterns between different areas by extracting their trajectories from CDRs, which is important temporal-spatial information to discover the functions of a region. We evaluated our method using large-scale and real-world datasets including a POI dataset of Guangzhou and a CDR dataset provided by a certain telecom operator. The results verify that the framework is effective and the proposed method can be a new tool for computational urban science.","PeriodicalId":108635,"journal":{"name":"2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"44 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":"130210750","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}

引用次数: 3

Measurement and Modeling of Path Loss and Channel Capacity Analysis for 5G UMa Scenario 5G UMa场景下路径损耗测量与建模及信道容量分析

2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2019-10-01 DOI: 10.1109/WCSP.2019.8928031

Ke Zhang, Ruonan Zhang, Jiang Wu, Yi Jiang, Xiao Tang

{"title":"Measurement and Modeling of Path Loss and Channel Capacity Analysis for 5G UMa Scenario","authors":"Ke Zhang, Ruonan Zhang, Jiang Wu, Yi Jiang, Xiao Tang","doi":"10.1109/WCSP.2019.8928031","DOIUrl":"https://doi.org/10.1109/WCSP.2019.8928031","url":null,"abstract":"With the upcoming commercialization of the fifth generation (5G) mobile communication system, more and more base stations (BSs) will be deployed in urban areas and consume a large amount of energy. Hence, in order to study how to reduce BS energy consumption and provide the larger connectivity range, we present a measurement and modeling campaign of the urban macro-cellular (UMa) scenario in this paper. The channels were sounded at 3.5 and 28 GHz with the maximun horizontal distance of 240 meters, in a modern residential area. The transmitter (TX) was equipped with two antennas and was fixed on the roof of a building with 68 meters heigh, which was regarded as a BS. The receiver (RX) was installed on a cart to emulate a mobile user equipment (UE). Based on the measurement data, we propose the statistical channel model for the large-scale fading and analyze the channel characteristics in the C and millimeter wave (mmWave) bands in this UMa environment. Furthermore, we derive and evaluate the channel capacity per unit bandwidth based on our channel measurement results and model. This work provides a better knowledge of the UMa channels at sub-6G and mmWave frequency bands and guidance for the energy-efficient deployment for the 5G network coverage.","PeriodicalId":108635,"journal":{"name":"2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"13 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":"134449540","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}

引用次数: 6

Bitcoin Blockchain Compression Algorithm for Blank Node Synchronization 空白节点同步的比特币区块链压缩算法

2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2019-10-01 DOI: 10.1109/WCSP.2019.8928104

Xiaojiao Chen, Sian-Jheng Lin, Nenghai Yu

引用次数: 12

An anomaly detection data recognition algorithm of portable gas sensor for calibration in mine IoT based on sliding time window 基于滑动时间窗的矿井物联网便携式气体传感器校准异常检测数据识别算法

2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2019-10-01 DOI: 10.1109/WCSP.2019.8928080

Gang Wang, Cheng Wang

引用次数: 1

Spectrum Sharing for Vehicular Communications in A Multi-operator Scenario 多运营商场景下车载通信频谱共享

2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2019-10-01 DOI: 10.1109/WCSP.2019.8928130

Zhongjie He, Hangguan Shan, Yuanguo Bi, Z. Xiang, Zhou Su, T. Luan

{"title":"Spectrum Sharing for Vehicular Communications in A Multi-operator Scenario","authors":"Zhongjie He, Hangguan Shan, Yuanguo Bi, Z. Xiang, Zhou Su, T. Luan","doi":"10.1109/WCSP.2019.8928130","DOIUrl":"https://doi.org/10.1109/WCSP.2019.8928130","url":null,"abstract":"At 5.9 GHz intelligent transportation system (ITS) band, there are two competing standards supporting vehicular networking, namely dedicated short-range communication (DSRC) and long-term evolution-vehicle (LTE-V). In this work, we study spectrum sharing for vehicular communications in a multi-operator scenario, in which the operators deploy their vehicular networks based on DSRC and LTE-V respectively. Specially, we study how vehicular users choose network to access in the aforementioned scenario. To estimate the network load of LTE-V and that of DSRC which are time-varying, we propose a quality-of-service (QoS) assessment mechanism with the consideration of vehicular users' high mobility. We use Vickrey-Clarke-Groves (VCG) reverse auction mechanism to let vehicular users make appropriate access decisions. Moreover, to achieve better spectrum efficiency and QoS provisioning for vehicular users, we propose a spectrum transaction algorithm based on carrier sensing and adaptive transmission (CSAT) mechanism, with which LTE-V and DSRC can negotiate about spectrum sharing. Simulation results verify the effectiveness of the proposed vehicular user access scheme and show the impact of the vehicle density and transmission rate on the QoS of vehicular users.","PeriodicalId":108635,"journal":{"name":"2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"70 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":"133691284","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}

引用次数: 2