2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)最新文献_第7页

Power-Spectrum Trading for Full-Duplex D2D Communications 全双工D2D通信的功率谱交易

2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2019-10-01 DOI: 10.1109/WCSP.2019.8927897

Xiaoli Huang, Daquan Feng, Sa Xiao, Chunlong He

{"title":"Power-Spectrum Trading for Full-Duplex D2D Communications","authors":"Xiaoli Huang, Daquan Feng, Sa Xiao, Chunlong He","doi":"10.1109/WCSP.2019.8927897","DOIUrl":"https://doi.org/10.1109/WCSP.2019.8927897","url":null,"abstract":"Device-to-device (D2D) communications has been considered as a promising technique that enables adjacent mobile terminals to transmit point-to-point data directly without going through base stations. Since two-way data exchanging is common in practical D2D communications scenarios, full-duplex (FD) communications can be exploited to improve the performance of D2D communications. Therefore, to a certain extent, efficient resource allocation to avoid severe self-interference of FD communications and the interference between D2D users (DUs) and cellular users (CUs) is critical to fully realize the potential benefit of FD-enabled D2D communications. In this paper, we investigate the resource allocation for a FD D2D pair coexisting with a cell-edge CU. By exploiting the asymmetry of spectrum and energy resources between the DU and CU, we propose a spectrum and energy trading method to achieve the mutual benefits of both users. Concave-convex procedure (CCCP) algorithm is adopted to solve the optimization problem. Simulation results show that the proposed method can significantly improve the system performance.","PeriodicalId":108635,"journal":{"name":"2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"34 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":"132730567","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: 1

Handover Procedure Design and Performance Optimization Strategy in LEO-HAP System LEO-HAP系统交接程序设计及性能优化策略

2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2019-10-01 DOI: 10.1109/WCSP.2019.8927845

Kailun Li, Yitao Li, Zhenkun Qiu, Qi Wang, Junqi Lu, Wuyang Zhou

引用次数: 8

RTIL: A Real-Time Indoor Localization System by Using Angle of Arrival of Commodity WiFi Signal 基于商用WiFi信号到达角度的实时室内定位系统

2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2019-10-01 DOI: 10.1109/WCSP.2019.8927936

Z. Tian, Zhongchun Wang, Ze Li, Mu Zhou

{"title":"RTIL: A Real-Time Indoor Localization System by Using Angle of Arrival of Commodity WiFi Signal","authors":"Z. Tian, Zhongchun Wang, Ze Li, Mu Zhou","doi":"10.1109/WCSP.2019.8927936","DOIUrl":"https://doi.org/10.1109/WCSP.2019.8927936","url":null,"abstract":"Recently, localization technology using existing infrastructures such as LTE and WiFi networks has advanced greatly. However, localization and tracking using WiFi signal is still challenging since the existing localization systems using Received Signal Strength Indication (RSSI) have limitations such as requiring extensive labor and time costs to construct database. Even for the recent advanced localization systems using Angle of Arrival (AOA) or Time of Flight (TOF), the computational burden and modified protocol limit their deployment. In this paper, we propose RTIL, a real-time indoor localization and tracking system with high accuracy by using commodity WiFi signal. Firstly, we devise a novel algorithm for AOA estimation under condition that the target moves. The proposed AOA estimation algorithm not only calculates AOA using only three antennas without large computational burden and special hardware but also eliminates big AOA error caused by the target's movement. Secondly, to improve the AOA estimation accuracy further we propose a refinement method based on Kalman smoothing. Our implementation and evaluation on the commodity WiFi devices show that RTIL can achieve the 67% localization accuracy of 1.2 m.","PeriodicalId":108635,"journal":{"name":"2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"3 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":"130380758","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: 5

Intelligent Decision-Making for 3-Dimensional Dynamic Obstacle Avoidance of UAV Based on Deep Reinforcement Learning 基于深度强化学习的无人机三维动态避障智能决策

2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2019-10-01 DOI: 10.1109/WCSP.2019.8928110

Xiao Han, Jing Wang, Jiayin Xue, Qinyu Zhang

{"title":"Intelligent Decision-Making for 3-Dimensional Dynamic Obstacle Avoidance of UAV Based on Deep Reinforcement Learning","authors":"Xiao Han, Jing Wang, Jiayin Xue, Qinyu Zhang","doi":"10.1109/WCSP.2019.8928110","DOIUrl":"https://doi.org/10.1109/WCSP.2019.8928110","url":null,"abstract":"With the growing utilization of UAV in reconnaissance, agriculture, logistics and entertainment, Autonomous collision avoidance during flight has become a necessary capability for modern UAV to detect the surrounding environment and guarantee their own safety. Autonomous obstacle avoidance is a typical agent decision-making problem. Unfortunately, existing traditional decision-making methods perform poorly in this specific realm, In particular, it is unable to meet the requirements of three-dimensional obstacle avoidance of UAV, so we introduce the deep reinforcement learning (DRL) technique into autonomous obstacle avoidance. We model the obstacle avoidance process as a Markov Decision Process and introduce a structure composed of double joint neural network estimators as the decision-maker, whose input is omnidirectional sonar readings and whose output is a value function estimating future rewards. Also, we propose an adaption in the procedure of memory replay to optimize the sampling, where we assign weights to the transitions and sample them accordingly. Our method is applied in a 3-dimensional physic environment, which contains both random dynamic obstacles and floating bouncing obstacles. The goal of the drone is to reach the terminal point without crash. Double Q Learning method with priority sampling, by comparison, achieves the most excellent performance in our simulation. Compared with the traditional algorithms, the proposed algorithm not only ensures the quality of decision making, enabling the agent to learn the optimal strategy, but also effectively improves the performance of the task and the efficiency of decision making. Simulation results demonstrate its effectiveness.","PeriodicalId":108635,"journal":{"name":"2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"124 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114000622","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: 17

Cell Coverage Analysis for High-speed Railway Communication Systems with Hard Handoff 高速铁路硬切换通信系统小区覆盖分析

2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2019-10-01 DOI: 10.1109/WCSP.2019.8928013

Sheng-Hong Lin, Youyun Xu, Jin-yuan Wang

{"title":"Cell Coverage Analysis for High-speed Railway Communication Systems with Hard Handoff","authors":"Sheng-Hong Lin, Youyun Xu, Jin-yuan Wang","doi":"10.1109/WCSP.2019.8928013","DOIUrl":"https://doi.org/10.1109/WCSP.2019.8928013","url":null,"abstract":"In this paper, the coverage analysis for the high-speed railway communication system with hard handoff is investigated. In the system, the base stations (BSs) are deployed along the railway track, two directional antennas are installed on each BS to enlarge coverage area, and thus the narrow-strip-shaped cells are generated to coverage the system. By considering the hard handoff, the relationship between the edge coverage probability (ECP) and the cell radius is derived. Moreover, given the ECP and the cell radius, the theoretical expression for the percentage of cell coverage area is derived, which is expressed as the ECP plus a positive increment. The existing expressions and results for coverage analysis in literature are all special cases of the expressions derived in this paper. Numerical results show that the derived theoretical results match simulation results very well, which indicates that the correctness of the derived theoretical expressions. Compared to the system without handoff, the derived coverage performance in this paper can be significantly improved. Moreover, the impacts of the cell radius, transmit power, hard handoff hysteresis, path loss exponent, and shadow fading on the coverage performance are also provided.","PeriodicalId":108635,"journal":{"name":"2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"27 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":"114494060","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: 4

Hybrid Precoding for Massive MIMO Systems Using Partially-Connected Phase Shifter Network 基于部分连接移相器网络的大规模MIMO系统混合预编码

2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2019-10-01 DOI: 10.1109/WCSP.2019.8927851

Yimeng Feng, Yi Jiang

引用次数: 2

Doppler Scale Estimation for Underwater Acoustic Communications Using Zadoff-Chu Sequences 基于Zadoff-Chu序列的水声通信多普勒尺度估计

2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2019-10-01 DOI: 10.1109/WCSP.2019.8927893

Shuo Jiang, Yiyin Wang, Wenbin Yu

引用次数: 2

Low-complexity and Robust Detection for Hybrid Chaos Communication 混合混沌通信的低复杂度鲁棒检测

2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2019-10-01 DOI: 10.1109/WCSP.2019.8927976

Ang Zhou, Shilian Wang, Fanggang Wang

引用次数: 1

Improved Indoor positioning algorithm using KPCA and ELM 基于KPCA和ELM的室内定位改进算法

2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2019-10-01 DOI: 10.1109/WCSP.2019.8928106

Li Lian, Shaobo Xia, Sen Zhang, Qiong Wu, Changqiang Jing

引用次数: 9

A 3D Wideband GBSM for THz Communications in Indoor Scenarios 室内场景下用于太赫兹通信的三维宽带GBSM

2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2019-10-01 DOI: 10.1109/WCSP.2019.8928045

Yiling Huang, Hengtai Chang, Jie Huang, Wensheng Zhang, Jian Sun, Chengxiang Wang

引用次数: 3