2018 IEEE Wireless Communications and Networking Conference (WCNC)最新文献

A study on time domain deterministic-stochastic model of spectrum usage in WLAN 无线局域网频谱使用的时域确定性-随机模型研究

2018 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2018-07-01 DOI: 10.1109/WCNC.2018.8377445

K. Umebayashi, M. López-Benítez

引用次数: 0

Fairness-oriented resource allocation for energy efficiency optimization in uplink OFDMA networks 面向公平的OFDMA上行网络能效优化资源分配

2018 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2018-06-11 DOI: 10.1109/WCNC.2018.8377327

H. Sokun, E. Bedeer, R. Gohary, H. Yanikomeroglu

引用次数: 4

Wireless energy and information transfer in networks with hybrid ARQ 混合ARQ网络中的无线能量和信息传输

2018 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2018-06-11 DOI: 10.1109/WCNC.2018.8377437

Mehdi Salehi Heydar Abad, Özgür Erçetin, T. Elbatt, M. Nafie

{"title":"Wireless energy and information transfer in networks with hybrid ARQ","authors":"Mehdi Salehi Heydar Abad, Özgür Erçetin, T. Elbatt, M. Nafie","doi":"10.1109/WCNC.2018.8377437","DOIUrl":"https://doi.org/10.1109/WCNC.2018.8377437","url":null,"abstract":"In this paper, we consider a class of wireless powered communication devices using hybrid automatic repeat request (HARQ) protocol to ensure reliable communications. In particular, we analyze the trade-off between accumulating mutual information and harvesting RF energy at the receiver of a point-to-point link over a time-varying independent and identically distributed (i.i.d.) channel. The transmitter is assumed to have a constant energy source while the receiver relies, solely, on the RF energy harvested from the received signal. At each time slot, the incoming RF signal is split between information accumulation and energy accumulation with the objective of minimizing the expected number of re-transmissions. A major finding of this work is that the optimal policy minimizing the expected number of re-transmissions utilizes the incoming RF signal to either exclusively harvest energy or to accumulate mutual information. This finding enables achieving an optimal solution in feasible time by converting a two dimensional uncountable state Markov decision process (MDP) with continuous action space into a countable state MDP with binary decision space.","PeriodicalId":360054,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127817527","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

Error analysis of wireless transmission over generalized multipath/shadowing channels 广义多径/阴影信道无线传输误差分析

2018 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2018-06-11 DOI: 10.1109/WCNC.2018.8377390

P. Sofotasios, Seong Ki Yoo, S. Muhaidat, S. Cotton, M. Matthaiou, M. Valkama, G. Karagiannidis

引用次数: 10

Improving primary statistics prediction under imperfect spectrum sensing 改进不完全频谱感知下的初级统计预测

2018 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2018-06-11 DOI: 10.1109/WCNC.2018.8377259

Ahmed Al-Tahmeesschi, M. López-Benítez, Janne J. Lehtomäki, K. Umebayashi

引用次数: 12

Accurate estimation of primary user traffic based on periodic spectrum sensing 基于周期频谱感知的主用户流量精确估计

2018 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2018-06-11 DOI: 10.1109/WCNC.2018.8377169

Ahmed Al-Tahmeesschi, M. López-Benítez, Janne J. Lehtomäki, K. Umebayashi

引用次数: 10

Data aggregation and recovery for the Internet of Things: A compressive demixing approach 物联网的数据聚合和恢复:压缩分解方法

2018 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2018-06-11 DOI: 10.1109/WCNC.2018.8377196

Evangelos Zimos, J. Mota, Evaggelia Tsiligianni, M. Rodrigues, N. Deligiannis

{"title":"Data aggregation and recovery for the Internet of Things: A compressive demixing approach","authors":"Evangelos Zimos, J. Mota, Evaggelia Tsiligianni, M. Rodrigues, N. Deligiannis","doi":"10.1109/WCNC.2018.8377196","DOIUrl":"https://doi.org/10.1109/WCNC.2018.8377196","url":null,"abstract":"Large-scale wireless sensor networks (WSNs) and Internet-of-Things (IoT) applications involve diverse sensing devices collecting and transmitting massive amounts of heterogeneous data. In this paper, we propose a novel compressive data aggregation and recovery mechanism that reduces the global communication cost without introducing computational overhead at the network nodes. Following the principles of compressive demixing, each node of the network collects measurement readings from multiple sources and mixes them with readings from other nodes into a single low-dimensional measurement vector, which is then relayed to other nodes; the constituent signals are recovered at the sink using convex optimization. Our design achieves significant reduction in the overall network data rates compared to prior schemes based on (distributed) compressed sensing or compressed sensing with (multiple) side information. Experiments using real large-scale air-quality data demonstrate the superior performance of the proposed framework against state-of-the-art solutions, with and without the presence of measurement and transmission noise.","PeriodicalId":360054,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121809397","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

Calibrating low-cost air quality sensors using multiple arrays of sensors 使用多个传感器阵列校准低成本空气质量传感器

2018 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2018-06-11 DOI: 10.1109/WCNC.2018.8377051

J. Barceló-Ordinas, J. García-Vidal, M. Doudou, S. Rodrigo-Munoz, Albert Cerezo-Llavero

{"title":"Calibrating low-cost air quality sensors using multiple arrays of sensors","authors":"J. Barceló-Ordinas, J. García-Vidal, M. Doudou, S. Rodrigo-Munoz, Albert Cerezo-Llavero","doi":"10.1109/WCNC.2018.8377051","DOIUrl":"https://doi.org/10.1109/WCNC.2018.8377051","url":null,"abstract":"The remarkable advances in sensing and communication technologies have introduced increasingly low-cost, smart and portable sensors that can be embedded everywhere and play an important role in environmental sensing applications such as air quality monitoring. These user-friendly wireless sensor platforms enable assessment of human exposure to air pollution through observations at high spatial resolution in near-realtime, thus providing new opportunities to simultaneously enhance existing monitoring systems, as well as engage citizens in active environmental monitoring. However, data quality from such platforms is a concern since sensing hardware of such devices is generally characterized by a reduced accuracy, precision, and reliability. Achieving good data quality and maintaining error free measurements during the whole system lifetime is challenging. Over time, sensors become subject to several sources of unknown and uncontrollable faulty data which comprise the accuracy of the measurements and yield observations far from the expected values. This paper investigates calibration of low-cost air quality sensors in a real sensor network deployment. The approach leverages on the availability of sensor arrays in a wireless node to estimate parameters that minimize the calibration error using fusion of data from multiple sensors. The obtained results were encouraging and show the effectiveness of the approach compared to a single sensor calibration.","PeriodicalId":360054,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132189700","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: 31

Spatial-mode multiplexing with mutually coherent channels in free space optical communications 自由空间光通信中具有相互相干信道的空间模复用

2018 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2018-06-11 DOI: 10.1109/WCNC.2018.8377109

Shenjie Huang, M. Safari

引用次数: 2

Efficient and low complexity optimized feature spectrum sensing with receiver offsets 基于接收机偏移的高效低复杂度优化特征频谱感知

2018 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2018-06-11 DOI: 10.1109/WCNC.2018.8377412

I. Anyim, J. Chiverton, M. Filip, A. Tawfik

{"title":"Efficient and low complexity optimized feature spectrum sensing with receiver offsets","authors":"I. Anyim, J. Chiverton, M. Filip, A. Tawfik","doi":"10.1109/WCNC.2018.8377412","DOIUrl":"https://doi.org/10.1109/WCNC.2018.8377412","url":null,"abstract":"Spectrum awareness is an important function in the context of cognitive radio systems. It determines the presence or absence of free channels in the spectrum and identifies free channels for secondary users. Cyclostationary Feature Detection is an example of a spectrum awareness technique which involves the detection of signals based on their features such as cyclic frequencies, symbol rates, carrier frequencies and modulation types. It detects signals at very low signal-to-noise ratios. However there are performance degrading constraints such as cyclic and sampling clock offsets that can occur at the receiver end. These offsets result from local oscillator frequency offsets, Doppler effects and jitter. We propose an efficient low complexity multi-slot cyclostationary feature detector that reduces the effects of these constraints through an offline optimization approach that produces the number and size of slot and fast Fourier transform to be used. These slots and fast Fourier transforms are used to show the reduction of these offsets and the detection performance compared for the case of different signal to noise ratios in the presence or absence of the receiver offsets. Also, the complexity of the model is compared with the complexity of the conventional implementation and it shows significant reductions in the number of required computations.","PeriodicalId":360054,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117016917","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