2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)最新文献_第3页

TESSO: An analytical tool for characterizing aggregate interference and enabling spatial spectrum sharing TESSO:描述聚合干扰和实现空间频谱共享的分析工具

2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) Pub Date : 2017-03-06 DOI: 10.1109/DySPAN.2017.7920793

Sudeep Bhattarai, J. Park, W. Lehr, Bo Gao

{"title":"TESSO: An analytical tool for characterizing aggregate interference and enabling spatial spectrum sharing","authors":"Sudeep Bhattarai, J. Park, W. Lehr, Bo Gao","doi":"10.1109/DySPAN.2017.7920793","DOIUrl":"https://doi.org/10.1109/DySPAN.2017.7920793","url":null,"abstract":"Radio propagation models play a crucial role in realizing effective spectrum sharing. Unlike propagation models that do not use the exact details of terrain, terrain-based propagation models are effective in identifying spatial spectrum sharing opportunities for the secondary users (SUs) around an incumbent user (IU). Unfortunately, terrain-based propagation models, such as the Irregular Terrain Model (ITM) in point-to-point (PTP) mode, are computationally expensive, and they require precise geo-locations of the SUs. Such requirements render them challenging, if not impractical, to implement in real-time applications, such as geolocation database (GDB)-driven spectrum sharing. To address this problem, we propose a pragmatic approach called Tool for Enabling Spatial Spectrum Sharing Opportunities (TESSO). TESSO characterizes the aggregate interference caused by the SUs and identifies spatial spectrum sharing opportunities effectively. It is computationally efficient, and does not require precise geo-locations of the SUs. Our results show that TESSO provides the same level of interference protection guarantee to the IU as that offered by the terrain-based models. TESSO can be implemented in GDB-driven spectrum sharing ecosystems for effectively exploiting spatial spectrum sharing opportunities.","PeriodicalId":221877,"journal":{"name":"2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126165450","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

Nearly instantaneous collision and interference detection using in-band full duplex 几乎瞬时碰撞和干扰检测使用带内全双工

2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) Pub Date : 2017-03-06 DOI: 10.1109/DySPAN.2017.7920762

T. Vermeulen, M. Laghate, Ghaith Hattab, B. V. Liempd, D. Cabric, S. Pollin

引用次数: 2

Using multiple power spectrum measurements to sense signals with partial spectral overlap 使用多个功率谱测量来检测部分频谱重叠的信号

2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) Pub Date : 2017-03-06 DOI: 10.1109/DySPAN.2017.7920751

M. Laghate, D. Cabric

{"title":"Using multiple power spectrum measurements to sense signals with partial spectral overlap","authors":"M. Laghate, D. Cabric","doi":"10.1109/DySPAN.2017.7920751","DOIUrl":"https://doi.org/10.1109/DySPAN.2017.7920751","url":null,"abstract":"In this work, we study the wideband sensing problem of detecting intermittently transmitting signals that may have partial spectral overlap. We aim to estimate the frequency bands occupied by transmitters using standards with overlapping frequency bands, such as IEEE 802.11, and those without guard bands, such as LTE-Advanced. Multiple power spectrum measurements are used to distinguish the distinct bands. An extreme ray based non-negative matrix factorization algorithm is proposed to identify measurements where a single transmitter is active. Distinct bands are identified in the presence of frequency-selective fading by using a combinatorial search. In addition, we propose a novel algorithm to automatically estimate the noise power spectrum by identifying measurements that do not have significant signal energy. Its ability to learn colored noise and LO leakage in the signal is demonstrated through USRP measurements. The dependence of the proposed algorithm's performance on the medium access control protocol used by the primary users is discussed. MATLAB simulations are used to verify that the proposed algorithm detects the occupied bands more accurately than existing methods. Over the air USRP measurements in the 2.4 GHz ISM band are used to detect the occupied WiFi channels in a university environment.","PeriodicalId":221877,"journal":{"name":"2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129286788","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

Demonstrating spectrum sensing in colored noise for signals with partial spectral overlap 演示了部分频谱重叠信号在彩色噪声中的频谱感知

2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) Pub Date : 2017-03-06 DOI: 10.1109/DySPAN.2017.7920761

M. Laghate, D. Cabric

{"title":"Demonstrating spectrum sensing in colored noise for signals with partial spectral overlap","authors":"M. Laghate, D. Cabric","doi":"10.1109/DySPAN.2017.7920761","DOIUrl":"https://doi.org/10.1109/DySPAN.2017.7920761","url":null,"abstract":"Wideband spectrum sensing aims to identify the occupied frequency bands. Conventional methods for single antenna spectrum sensors threshold the received power spectra to detect discrete frequency bins that are occupied. However, such methods neither group bins that are occupied by the same signal nor aggregate occupied bins over time to learn distinct frequency bands occupied by intermittently transmitting signals. This paper demonstrates a method to learn the frequency bands occupied by intermittently transmitting incumbent radios that occupy adjacent frequency bands without a guard band, such as by LTE-Advanced, or are spectrally overlapping, such as by IEEE 802.11. It formulates the wideband sensing problem as the factorization of a matrix consisting of multiple power spectrum measurements. A novel extreme ray based non-negative matrix factorization algorithm estimates the noise power spectrum and also determines the received power spectrum of the incumbent radios. Energy detection and a combinatorial algorithm is used to determine the unique supports of the received signals. Using a USRP N210 software defined radio as a receiver, we demonstrate that this algorithm can determine the frequency bands occupied by nearby transmitters in the 2.4GHz ISM band. Furthermore, we demonstrate that the algorithm learns the power spectrum of the colored noise experienced by the USRP.","PeriodicalId":221877,"journal":{"name":"2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124298286","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

Modulation recognition using second- and higher-order cyclostationarity 利用二阶和高阶循环平稳性的调制识别

2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) Pub Date : 2017-03-06 DOI: 10.1109/DySPAN.2017.7920744

C. Spooner, A. Mody, J. Chuang, Josh Petersen

引用次数: 26

Modulation recognition using side information and hybrid learning 基于边信息和混合学习的调制识别

2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) Pub Date : 2017-03-06 DOI: 10.1109/DySPAN.2017.7920750

K. Arumugam, I. Kadampot, Mehrdad Tahmasbi, Shaswat Shah, M. Bloch, S. Pokutta

引用次数: 9

Fair resource allocation in the citizens broadband radio service band 公民宽带无线电业务频带资源分配公平

2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) Pub Date : 2017-03-01 DOI: 10.1109/DySPAN.2017.7920768

A. Sahoo

引用次数: 13

Impact of model uncertainties on quantitative evaluation of interference risks 模型不确定性对干扰风险定量评估的影响

2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) Pub Date : 2017-03-01 DOI: 10.1109/DySPAN.2017.7920776

Janne Riihijärvi, Daisy Maibam, P. Mähönen

引用次数: 2

OTGS: Reducing energy consumption of USB-connected low-cost sensors on smartphones OTGS:降低智能手机上usb连接的低成本传感器的能耗

2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) Pub Date : 2017-03-01 DOI: 10.1109/DySPAN.2017.7920774

Ivar in 't Veen, Amjad Yousef Majid, P. Pawełczak

引用次数: 0

The dynamic policy license 动态策略license

2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) Pub Date : 2017-03-01 DOI: 10.1109/DySPAN.2017.7920757

Martin Saint, T. Brown

引用次数: 3