2020 IEEE Wireless Communications and Networking Conference (WCNC)最新文献_第9页

Clustering-Based Scenario-Aware LTE Grant Prediction 基于聚类的场景感知LTE授权预测

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120789

Peter Brand, Muhammad Sabih, J. Falk, Jonathan Ah Sue, Jürgen Teich

{"title":"Clustering-Based Scenario-Aware LTE Grant Prediction","authors":"Peter Brand, Muhammad Sabih, J. Falk, Jonathan Ah Sue, Jürgen Teich","doi":"10.1109/WCNC45663.2020.9120789","DOIUrl":"https://doi.org/10.1109/WCNC45663.2020.9120789","url":null,"abstract":"Reducing the energy consumption of mobile phones is a crucial design goal for cellular modem solutions for LTE and 5G standards. Recent approaches for dynamic power management incorporate traffic prediction to power down components of the modem as often as possible. These predictive approaches have been shown to still provide substantial energy savings, even if trained purely on-line. However, a higher prediction accuracy could be achieved when performing predictor training off-line. Additionally, having pre-trained predictors opens up the ability to successfully employ predictive techniques also in less favorable situations such as short intervals of stable traffic patterns. For this purpose, we introduce a notion of similarity, based on which a clustering is performed to identify similar traffic patterns. For each resulting cluster, i.e., an identified traffic scenario, one predictor is designed and trained off-line. At run time, the system selects the pre-trained predictor with the lowest average short-term false negative rate allowing for energy-efficient and highly accurate on-line prediction. Through experiments, it is shown that the presented mixed static/dynamic approach is able to improve the prediction accuracy and energy savings compared to a state-of-the-art approach by factors of up to 2 and up to 1.9, respectively.","PeriodicalId":415064,"journal":{"name":"2020 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121970073","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

UAV-based Air-to-Ground Channel Modeling for Diverse Environments 基于无人机的多环境空对地信道建模

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120659

Muhammad Usaid Akram, Usama Saeed, Syed Ali Hassan, Haejoon Jung

引用次数: 3

A Linear Bayesian Learning Receiver Scheme for Massive MIMO Systems 大规模MIMO系统的一种线性贝叶斯学习接收方案

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120718

Alva Kosasih, Wibowo Hardjawana, B. Vucetic, Chao-Kai Wen

{"title":"A Linear Bayesian Learning Receiver Scheme for Massive MIMO Systems","authors":"Alva Kosasih, Wibowo Hardjawana, B. Vucetic, Chao-Kai Wen","doi":"10.1109/WCNC45663.2020.9120718","DOIUrl":"https://doi.org/10.1109/WCNC45663.2020.9120718","url":null,"abstract":"Much stringent reliability and processing latency requirements in ultra-reliable-low-latency-communication (URLLC) traffic make the design of linear massive multiple-input-multiple-output (M-MIMO) receivers becomes very challenging. Recently, Bayesian concept has been used to increase the detection reliability in minimum-mean-square-error (MMSE) linear receivers. However, the latency processing time is a major concern due to the exponential complexity of matrix inversion operations in MMSE schemes. This paper proposes an iterative M-MIMO receiver that is developed by using a Bayesian concept and a parallel interference cancellation (PIC) scheme, referred to as a linear Bayesian learning (LBL) receiver. PIC has a linear complexity as it uses a combination of maximum ratio combining (MRC) and decision statistic combining (DSC) schemes to avoid matrix inversion operations. Simulation results show that the bit-error-rate (BER) and latency processing performances of the proposed receiver outperform the ones of MMSE and best Bayesian-based receivers by minimum 2 dB and 19 times for various M-MIMO system configurations.","PeriodicalId":415064,"journal":{"name":"2020 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123798867","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

Throughput Performance Study of Smart Antenna System in WiFi Networks WiFi网络中智能天线系统的吞吐量性能研究

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120674

Hsin-Li Chiu, Sau-Hsuan Wu, Hsi-Lu Chao

引用次数: 1

MalPortrait: Sketch Malicious Domain Portraits Based on Passive DNS Data MalPortrait:基于被动DNS数据绘制恶意域画像

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120488

Zhizhou Liang, Tianning Zang, Yuwei Zeng

{"title":"MalPortrait: Sketch Malicious Domain Portraits Based on Passive DNS Data","authors":"Zhizhou Liang, Tianning Zang, Yuwei Zeng","doi":"10.1109/WCNC45663.2020.9120488","DOIUrl":"https://doi.org/10.1109/WCNC45663.2020.9120488","url":null,"abstract":"Malicious domain detection is of great significance for cybersecurity. Most prior works detect malicious domains based on individual features, which are only related to the attributes of domains themselves and can be easily changed to avoid detection. To solve the problem, we propose a novel system called MalPortrait, which combines individual features and association information of domains to detect malicious domains. In MalPortrait, we show the association information among domains by a domain association graph where vertices represent domains and edges connect domains resolved to the same IP. Based on the graph, we combine individual features (e.g., string-based, network-based) of each domain and its association information to generate new features. Compared with individual features, the new features are harder to be tampered with and can help determine whether a domain is malicious from a more comprehensive perspective. We evaluate MalPortrait on the passive DNS traffic collected from real-world large ISP networks. Our experimental results show that MalPortrait can accurately identify malicious domain names with a precision of 96.8% and a recall of 95.5%. Compared with prior works, MalPortrait performs better and hardly relies on additional knowledge (e.g., IP reputation, Domain whois).","PeriodicalId":415064,"journal":{"name":"2020 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124133227","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

On the Feasibility of Location-based Discovery and Vertical Handover in IEEE 802.11ah IEEE 802.11ah中基于位置发现和垂直切换的可行性研究

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120464

S. Santi, Filip Lemic, J. Famaey

{"title":"On the Feasibility of Location-based Discovery and Vertical Handover in IEEE 802.11ah","authors":"S. Santi, Filip Lemic, J. Famaey","doi":"10.1109/WCNC45663.2020.9120464","DOIUrl":"https://doi.org/10.1109/WCNC45663.2020.9120464","url":null,"abstract":"Multi-Radio Access Technology (RAT) IoT devices are able to combine the high coverage of Low-Power Wide-Area (LPWA) technologies with the higher data-rates of shorter range technologies such as IEEE 802.11ah. In such scenarios, a discovery procedure has to be used for detecting the availability of a IEEE 802.11ah network. Currently, these procedures consume substantial energy, as the discovery has to be periodically performed, even if the IEEE 802.11ah technology is not available, which is undesirable for low-power Internet of Things (IoT) devices. We propose using the device’s location information for making more optimized discovery and handover decisions. We demonstrate the feasibility of this approach in performing energy efficient handovers between various LPWA technologies and IEEE 802.11ah based on estimated location. We carry out our evaluation in terms of the energy consumption of the procedure and the duration of the device’s association to IEEE 802.11ah. We show that the location-based procedure substantially reduces the energy consumption of the mobile device compared to the traditional discovery based on periodical listening for beacons.","PeriodicalId":415064,"journal":{"name":"2020 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128606304","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

A Simple Novel Idle Slot Prediction and Avoidance Scheme Using Prediction Bits for DFSA in RFID 基于预测位的RFID空槽预测与避免方案

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120457

Gan Luan, N. Beaulieu

引用次数: 1

Studies of Flatness of LiFi Channel for IEEE 802.11bb IEEE 802.11bb的LiFi通道平坦度研究

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120811

A. A. Purwita, H. Haas

{"title":"Studies of Flatness of LiFi Channel for IEEE 802.11bb","authors":"A. A. Purwita, H. Haas","doi":"10.1109/WCNC45663.2020.9120811","DOIUrl":"https://doi.org/10.1109/WCNC45663.2020.9120811","url":null,"abstract":"A task group named IEEE 802.11 Light Communications Amendment-Task Group “bb” (TGbb) was established in July 2018. By bringing light-fidelity (LiFi) technology into the WiFi ecosystem, LiFi can take advantage of the globally recognized WiFi brand, while also improving its capability due to the fact that LiFi does not interfere with WiFi. Early discussions in the task group focused on the physical (PHY) layer. There are two major proposals for the PHY layer. The first one is to use the existing IEEE 802.11 chipsets with LiFi analog front-ends. This is done by means of the frequency up and down-conversions and adding a DC bias. The second proposal is to redefine a whole PHY layer and optimize it by means of adopting adaptive bit loading in order to combat the low-pass filter characteristics of the non-line-of-sight wireless optical channels. Each approach has advantages in terms of the low-entry barrier to the mass market and better performance, respectively. The root question in determining the common mode PHY between the two approaches is how frequent LiFi encounters flat channels. That is, if the channel is flat, then the gain of the adaptive bit loading is not significant. Therefore, this paper aims to investigate the flatness of many samples from the reference channel models defined in the TGbb. We find that the majority of the channels are flat if the signal bandwidth is 20 MHz.","PeriodicalId":415064,"journal":{"name":"2020 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131083418","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

C2 RC: Channel Congestion-based Re-transmission Control for 3GPP-based V2X Technologies 基于3gpp的V2X技术的信道拥塞重传控制

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120851

Gaurang Naik, J. Park, J. Ashdown

{"title":"C2 RC: Channel Congestion-based Re-transmission Control for 3GPP-based V2X Technologies","authors":"Gaurang Naik, J. Park, J. Ashdown","doi":"10.1109/WCNC45663.2020.9120851","DOIUrl":"https://doi.org/10.1109/WCNC45663.2020.9120851","url":null,"abstract":"The 3rd Generation Partnership Project (3GPP) is actively designing New Radio Vehicle-to-Everything (NR V2X)—a 5G NR-based technology for V2X communications. NR V2X, along with its predecessor Cellular V2X (C-V2X), is set to enable low-latency and high-reliability communications in high-speed and dense vehicular environments. A key reliability-enhancing mechanism that is available in C-V2X and is likely to be re-used in NR V2X is packet re-transmissions. In this paper, using a systematic and extensive simulation study, we investigate the impact of this feature on the system performance of C-V2X. We show that statically configuring vehicles to always disable or enable packet re-transmissions either fails to extract the full potential of this feature or leads to performance degradation due to increased channel congestion. Motivated by this, we propose and evaluate Channel Congestion-based Re-transmission Control (C2 RC), which, based on the observed channel congestion, allows vehicles to autonomously decide whether or not to use packet re-transmissions without any role of the cellular infrastructure. Using our proposed mechanism, C-V2X-capable vehicles can boost their performance in lightly-loaded environments, while not compromising on performance in denser conditions.","PeriodicalId":415064,"journal":{"name":"2020 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130571339","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

WCNC 2020 Committees

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/wcnc45663.2020.9120449

引用次数: 0