2018 IEEE International Conference on Communications (ICC)最新文献_第4页

Non-Gaussian Signal Detection: How Much Can Massive MIMO Help? 非高斯信号检测:大规模MIMO有多大帮助?

2018 IEEE International Conference on Communications (ICC) Pub Date : 2018-07-27 DOI: 10.1109/ICC.2018.8423049

T. Peken, R. Tandon, T. Bose

{"title":"Non-Gaussian Signal Detection: How Much Can Massive MIMO Help?","authors":"T. Peken, R. Tandon, T. Bose","doi":"10.1109/ICC.2018.8423049","DOIUrl":"https://doi.org/10.1109/ICC.2018.8423049","url":null,"abstract":"The radio frequency spectrum is occupied with authorized and unauthorized user activities which might include noise and interference. Detection of signals-of-interest (SOI) and differentiation from non-signals-of-interest (NSOI) are therefore crucial for frequency use management. There is a wide variety of signals in a desired radio spectrum band, which leads to the application of Signal Intelligence (SIGINT) to detect and identify signals in real-time. In this paper, we study the problem of non-Gaussian signal detection when the receivers are configured with a large number of antennas (or the massive antenna regime). First, we investigate the performance of signal detection with massive MIMO when the transmitted signals are generated from a Gaussian distribution. For the detection of Gaussian signals, we consider the Neyman-Pearson (NP) detector. Then, we focus on the performance of non-Gaussian signal detection with massive MIMO, which is one of the main objectives of this paper. We show that the NP detector gives poor performance for non-Gaussian signals in low signal-to- noise-ratio (SNR). Therefore, we propose to use a bispectrum detector, which contains the Gaussian noise and reveals the non-Gaussian information that exists in the signal. We present the theoretical analysis for asymptotic behavior of Probability of False Alarm (PFA) and Probability of Detection (PD) when the transmitter sends Gaussian and non-Gaussian signals. We show the performance of signal detection (for both Gaussian and non-Gaussian signals) as a function of the number of antennas and sampling rate. We also obtain the scaling behavior of the performance in the massive antenna regime.","PeriodicalId":387855,"journal":{"name":"2018 IEEE International Conference on Communications (ICC)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126145593","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

A Distributed Algorithm: Minimum-Latency Collision-Avoidance Multiple-Data-Aggregation Scheduling in Multi-Channel WSNs 一种分布式算法:多通道wsn的最小延迟避碰撞多数据聚合调度

2018 IEEE International Conference on Communications (ICC) Pub Date : 2018-07-27 DOI: 10.1109/ICC.2018.8422177

Ngoc-Tu Nguyen, Bing-Hong Liu, Hao-Zhe Weng

{"title":"A Distributed Algorithm: Minimum-Latency Collision-Avoidance Multiple-Data-Aggregation Scheduling in Multi-Channel WSNs","authors":"Ngoc-Tu Nguyen, Bing-Hong Liu, Hao-Zhe Weng","doi":"10.1109/ICC.2018.8422177","DOIUrl":"https://doi.org/10.1109/ICC.2018.8422177","url":null,"abstract":"There is much effort which aimed at the data collection scheduling algorithm development to minimize the latency in wireless sensor networks (WSNs). Most of previous works investigating the minimum latency of data collection issue have an ideal assumption that the network is a centralized system, in which the entire network is completely synchronized with full knowledge of components. In addition, most of existing works often assume that any data in the network are allowed to be aggregated into one packet and the network models are often treated as tree structures. However, in practical, WSNs are more likely to be distributed systems, since each sensor's knowledge is disjointed to each other, and a fixed number of data are allowed to be aggregated into one packet. In this paper, we investigate the problem of minimum latency for the data aggregation without data collision in the distributed WSNs when the sensors are considered to be assigned the channels, termed the minimum-latency collision-avoidance multiple-data-aggregation scheduling with multi-channel (MLCAMDAS-MC) problem. A new distributed algorithm, termed the distributed collision-avoidance scheduling (DCAS) algorithm, is proposed to address the MLCAMDAS-MC. Finally, we conduct extensive simulations to demonstrate the performance of DCAS.","PeriodicalId":387855,"journal":{"name":"2018 IEEE International Conference on Communications (ICC)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127077085","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: 23

On the Application of NOMA to Wireless Caching NOMA在无线缓存中的应用研究

2018 IEEE International Conference on Communications (ICC) Pub Date : 2018-07-27 DOI: 10.1109/ICC.2018.8422478

Z. Ding, P. Fan, G. Karagiannidis, R. Schober, H. Poor

引用次数: 12

Reservation Based Electric Vehicle Charging Using Battery Switch 基于预约的电动汽车电池开关充电

2018 IEEE International Conference on Communications (ICC) Pub Date : 2018-07-27 DOI: 10.1109/ICC.2018.8422422

Yue Cao, Xu Zhang, William Liu, Yang Cao, L. Chiaraviglio, Jinsong Wu, G. Putrus

{"title":"Reservation Based Electric Vehicle Charging Using Battery Switch","authors":"Yue Cao, Xu Zhang, William Liu, Yang Cao, L. Chiaraviglio, Jinsong Wu, G. Putrus","doi":"10.1109/ICC.2018.8422422","DOIUrl":"https://doi.org/10.1109/ICC.2018.8422422","url":null,"abstract":"With the growing popularization of Electric Vehicles (EVs), charging management has become an increasingly important research problem in smart cities. Different from plug-in charging technology, we alternatively enable the battery switch technology to provide fast EV charging (reduce the service waiting time from tens of minutes to a few minutes), by facilitating the switchable (fully-recharged) batteries maintained at CSs and also the batteries cycling procure to refresh their availability. Nevertheless, potential hot spot may still happen at CSs, due to running out of switchable batteries as well as long batteries charging queue. With this concern, we next propose a reservation based EV charging management scheme to alleviate such situation, considering EVs' anticipated charging reservations (including arrival time, expected charging time) to coordinate EVs' charging plans. Results under the Helsinki city scenario with realistic EV and CS characteristics show the advantage of our enabling technology, in terms of minimized waiting time for the battery switch as the benefit of EV drivers, and higher number of batteries switched as the benefit of CSs.","PeriodicalId":387855,"journal":{"name":"2018 IEEE International Conference on Communications (ICC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133598415","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

Cost Minimization of Data Flow in Wirelessly Networked Disaster Areas 无线网络灾区数据流成本最小化

2018 IEEE International Conference on Communications (ICC) Pub Date : 2018-07-27 DOI: 10.1109/ICC.2018.8422660

M. Meyer, Yu Wang, Junbo Wang

{"title":"Cost Minimization of Data Flow in Wirelessly Networked Disaster Areas","authors":"M. Meyer, Yu Wang, Junbo Wang","doi":"10.1109/ICC.2018.8422660","DOIUrl":"https://doi.org/10.1109/ICC.2018.8422660","url":null,"abstract":"Big data analytics has started to use data collected from the sensors in smartphones. This data may be used by disaster response teams for locating problems. But the regular communication infrastructure can be destroyed after disasters. Movable base stations (MBS), as studied by the company NTT, offer an easily deployable solution to construct an emergency communication network~ (ECN), but are not suitable for transmitting big data from sensing devices to the cloud for data processing in the cloud. To address this issue, MBSs have been equipped with processing capabilities of their own, which creates an MBS-based Fog-computing Network. We proposed a novel algorithm to minimize the overall cost of the system while maintaining 0 data overflow. This will allow the resources to be used at the most efficient level. Our genetic algorithm solution had a reduced system cost over various network sizes when compared to some conventional solutions. During the simulation, it was clear that the best conventional method for preventing data overflow was the fog-based solution, but its cost was quite high. The cloud-based solution had the lowest cost but would lead to a large amount of data overflow, which would need to be cached. The GA-based solution maintained the ideal solution throughout the variation of all bandwidth parameters: the processing rate, the data compression ratio, and the cost coefficient ratio. Because none of the conventional solutions were able to match the capabilities of the GA for the current constraints, we believe that this should be investigated further with a faster algorithm.","PeriodicalId":387855,"journal":{"name":"2018 IEEE International Conference on Communications (ICC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130396691","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

Device-to-Device Coded Caching with Heterogeneous Cache Sizes 异构缓存大小的设备到设备编码缓存

2018 IEEE International Conference on Communications (ICC) Pub Date : 2018-07-27 DOI: 10.1109/ICC.2018.8422195

A. M. Ibrahim, Ahmed A. Zewail, A. Yener

引用次数: 19

Energy Efficiency Analysis of UAV-Assisted mmWave HetNets 无人机辅助毫米波HetNets的能效分析

2018 IEEE International Conference on Communications (ICC) Pub Date : 2018-07-27 DOI: 10.1109/ICC.2018.8422870

Syed Naqvi, Jacob Chakareski, Nicholas Mastronarde, J. Xu, F. Afghah, A. Razi

引用次数: 12

Theoretical Performance Analysis Assisted by Machine Learning for Spatial Permutation Modulation (SPM) in Slow-Fading Channels 基于机器学习的慢衰落信道空间置换调制(SPM)性能分析

2018 IEEE International Conference on Communications (ICC) Pub Date : 2018-07-27 DOI: 10.1109/ICC.2018.8422471

Jhih-Wei Shih, Jung-Chun Chi, Yuan-Hao Huang, P. Tsai, I-Wei Lai

{"title":"Theoretical Performance Analysis Assisted by Machine Learning for Spatial Permutation Modulation (SPM) in Slow-Fading Channels","authors":"Jhih-Wei Shih, Jung-Chun Chi, Yuan-Hao Huang, P. Tsai, I-Wei Lai","doi":"10.1109/ICC.2018.8422471","DOIUrl":"https://doi.org/10.1109/ICC.2018.8422471","url":null,"abstract":"Based on spatial modulation (SM), spatial permu- tation modulation (SPM) has been recently proposed to enhance the performance of the multiple-input multiple-output (MIMO) system. SPM maps data bits to both the QAM symbol and permutation array. At successive time instants, different transmit antennas are activated according to the mapped permutation array to transmit the QAM symbol. In this work, the error rate of SPM in slow-fading channels is analyzed. The performance is first analyzed with the closed-form expression for the special case, and then is generalized to arbitrary cases by using the approximation of Gamma random variables. The machine learning algorithm is adopted to simplify the generalization and estimate the diversity. Through the analyses, we discover that by simply adding transmit antennas, the performance of SPM in slow-fading channels can be greatly enhanced due to the reduction of the time dependency. Numerical simulations demonstrate the accuracy of our analyses and show that by adding one transmit antenna, the time dependency can almost be removed, leading to around 3 dB SNR gain for the BER performance.","PeriodicalId":387855,"journal":{"name":"2018 IEEE International Conference on Communications (ICC)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127160522","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

Fault Tolerant Controller Placement in Distributed SDN Environments 分布式SDN环境中的容错控制器放置

2018 IEEE International Conference on Communications (ICC) Pub Date : 2018-07-27 DOI: 10.1109/ICC.2018.8422593

Adel Alshamrani, Sayantan Guha, Sandeep Pisharody, Ankur Chowdhary, Dijiang Huang

引用次数: 18

Outage Constrained Robust SWIPT Beamforming for Secure MIMO Broadcasting 安全MIMO广播的中断约束稳健SWIPT波束形成

2018 IEEE International Conference on Communications (ICC) Pub Date : 2018-07-27 DOI: 10.1109/ICC.2018.8422939

Zhengyu Zhu, Ning Wang, Zheng Chu, Zhongyong Wang, Inkyu Lee

{"title":"Outage Constrained Robust SWIPT Beamforming for Secure MIMO Broadcasting","authors":"Zhengyu Zhu, Ning Wang, Zheng Chu, Zhongyong Wang, Inkyu Lee","doi":"10.1109/ICC.2018.8422939","DOIUrl":"https://doi.org/10.1109/ICC.2018.8422939","url":null,"abstract":"Wireless energy transfer over radio frequency has been recognized as a promising alternative solution to powering the low power low complexity wireless equipments in future cellular networks. In this work, simultaneous wireless information and power transfer (SWIPT) operation for secure multi-user multipleinput multiple-output (MIMO) broadcast system is investigated with imperfect channel state information at the transmitter. The corresponding robust secure beamforming problem is studied, where the transmit power is to be minimized subject to the secrecy rate outage probability constraint for legitimate information users, and the harvested energy outage probability constraint for energy harvesting receivers. The original problem is shown to be non-convex due to the presence of the probabilistic constraints. These outage constraints are then transformed into deterministic forms by using the Bernstein-type inequalities. Based on successive convex approximation (SCA), a low-complexity approach, which reformulates the original problem as second order cone programming (SOCP), is proposed. Simulation results show that the proposed scheme outperforms the conventional method with lower complexity.","PeriodicalId":387855,"journal":{"name":"2018 IEEE International Conference on Communications (ICC)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127340946","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