John T. Chapman, Jennifer Andreoli-Fang, Michel Chauvin, E. Reyes, Zheng Lu, Dantong Liu, Joey Padden, Alon Bernstein
{"title":"Low latency techniques for mobile backhaul over DOCSIS","authors":"John T. Chapman, Jennifer Andreoli-Fang, Michel Chauvin, E. Reyes, Zheng Lu, Dantong Liu, Joey Padden, Alon Bernstein","doi":"10.1109/WCNC.2018.8376975","DOIUrl":"https://doi.org/10.1109/WCNC.2018.8376975","url":null,"abstract":"The mobile network operators (MNOs) are looking into economically viable backhaul solutions as alternatives to fiber, specifically the hybrid fiber coaxial networks (HFC). When the latencies from both the wireless and the HFC networks are added together, the result is a noticeable end-to-end system latency, particularly under network congestion. In order to decrease total system latency, we proposed a method to improve upstream user-to-mobile core latency by coordinating the LTE and HFC scheduling in previous papers. In this paper, we implement and optimize the proposed method on a custom LTE and DOCSIS end-to-end system testbed. The testbed uses the OpenAirInterface (OAI) platform for the LTE network, along with Cisco's broadband router cBR-8 that is currently deployed in the HFC networks around the world. Our results show a backhaul latency improvement under all traffic load conditions.","PeriodicalId":360054,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121267066","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}
{"title":"Providing strong 5G mobile network slice isolation for highly sensitive third-party services","authors":"P. Schneider, C. Mannweiler, S. Kerboeuf","doi":"10.1109/WCNC.2018.8377166","DOIUrl":"https://doi.org/10.1109/WCNC.2018.8377166","url":null,"abstract":"Future 5G mobile networks are expected to support network slicing, i.e. multiple virtual networks running on a common infrastructure. A virtual network, called network slice, may be created to support a specific communication service type, such as massive machine-type communication, or even a specific application, for example one single Internet of Things (IoT) application. Network slices may be created by an organization like a Mobile Network Operator (MNO) and rented out to 3rd-party organizations like enterprises. A prerequisite for running a highly sensitive service in a network slice is full isolation of the slice against all other users of the common network infrastructure. An industry vertical renting a slice for an Industry 4.0 application may even require isolation against the organizations providing the network infrastructure. In this paper, we introduce different novel provisioning models for 3rd-party slices and discuss their isolation properties. We conclude that network slices relying solely on common infrastructure cannot meet highest isolation requirements. We therefore introduce new network architecture deployment models which include 3rd-party-owned network infrastructure, and show how they can be used by 3rd-parties to implement highly secure mobile communication services.","PeriodicalId":360054,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124305179","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}
{"title":"A stochastic approach in private information retrieval","authors":"Hyowoon Seo, Wan Choi","doi":"10.1109/WCNC.2018.8377372","DOIUrl":"https://doi.org/10.1109/WCNC.2018.8377372","url":null,"abstract":"We propose a novel scheme that achieves the capacity of the PIR, which is the maximum number of bits of the desired messages that can be privately retrieved by a single bit information download from the databases. The proposed scheme is based on the stochastic approach, where the queries are generated randomly and the downloading information is the random linear combinations of the message bits. Consequently, we claim that one-shot query generation, based on the stochastic approach, can guarantee the privacy of the user and the correctness of the retrieved information while achieving the capacity, when the number of answering bits are sufficiently large.","PeriodicalId":360054,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124130377","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}
{"title":"Capacity planning for 5G packet-based front-haul","authors":"H. Halabian, P. Ashwood-Smith","doi":"10.1109/WCNC.2018.8377215","DOIUrl":"https://doi.org/10.1109/WCNC.2018.8377215","url":null,"abstract":"Packet switched transport technologies have been suggested to be used in 5G front-haul networks. Front-haul bandwidth and packet latency are two major challenges to be addressed in these networks. This paper focuses on capacity planning for packet-based front-haul technologies considering the latency requirements of the 5G front-haul flows. More specifically, we answer three main questions for Constant Bit Rate (CBR) and Variable Bit Rate (VBR) packet front-haul networks: First, is statistical multiplexing gain always achievable in packet front-haul networks? Second, what is the minimum bandwidth required to accommodate a set of front-haul flows on a front-haul link? Third, what is the proper bandwidth allocation and the scheduling algorithm among the packets of different antennas to guarantee the latency requirements of the flows? It is shown that for CBR traffic no statistical multiplexing gain is achievable and the Earliest Deadline First (EDF) is the optimal packet scheduler. For VBR traffic, statistical multiplexing gain is achievable only when the latency requirement of at least one flow is greater than the packet inter-arrival time. The optimal bandwidth allocation is also determined for a Weighted Fair Queueing (WFQ) scheduler. Finally, simulation is used to validate the theoretical results for both CBR and VBR front-haul traffic.","PeriodicalId":360054,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126199205","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}
{"title":"Sum-rate maximization guaranteeing user fairness for NOMA in fading channels","authors":"Hong Xing, Yuanwei Liu, A. Nallanathan, Z. Ding","doi":"10.1109/WCNC.2018.8376949","DOIUrl":"https://doi.org/10.1109/WCNC.2018.8376949","url":null,"abstract":"Recently, non-orthogonal multiple access (NOMA) transmission has aroused an upsurge of interest due to its obvious superiority in spectral efficiency and user connectivity for the next generation cellular networks. However, as NOMA is intrinsically in favour of the users with strong channels who are capable of carrying out successive decoding, judicious design is required for ensuring user fairness. In this paper, we consider a two-user downlink NOMA with delay-tolerant transmission over fading channels in both scenarios of full and partial channel state information at the transmitter (CSIT). The average sum-rate is maximized subject to both an average and a peak power constraint as well as a minimum individual rate constraint. The dynamic resource allocation policy is optimally obtained using Lagrangian dual decomposition in the full CSIT case, while the power allocation in the partial CSIT case is also developed based on analytical results. Finally, the effectiveness of the proposed algorithms for NOMA over orthogonal multiple access (OMA) are verified in simulations by means of trade-offs for the average sum-rate and/or individual rate versus the minimum average rate requirement.","PeriodicalId":360054,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"89 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128002648","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}
{"title":"Measurement-based characterization of LOS and NLOS drone-to-ground channels","authors":"Yan Shi, R. Enami, John Wensowitch, J. Camp","doi":"10.1109/WCNC.2018.8377104","DOIUrl":"https://doi.org/10.1109/WCNC.2018.8377104","url":null,"abstract":"The last few years have seen a rapid growth in unmanned aerial vehicle (UAV) based innovations and technologies, particularly for smaller drones. The rapid response to natural disasters, high data rate access in public safety situations, and the robustness of long-haul communication relays are highly dependent on airborne communication networks. A more precise channel characterization of air-to-ground links is imperative to establish these drone-based communication networks. However, there have been very limited efforts to understand the unique propagation channels encountered in drone-based communications, especially for wideband beamforming systems. In this paper, we perform a measurement-driven study to characterize air-to-ground wireless channels between UAV platforms and terrestrial users in practical Line of Sight (LOS) and Non Line of Sight (NLOS) scenarios across a wide range of carrier frequencies, including cellular (900 MHz and 1800 MHz), and WiFi (5 GHz) frequency bands. Furthermore, we investigate the feasibility of drone-based beamforming using IEEE 802.11-like signaling. We find that the drone-to-ground path loss differences are frequency dependent and closely related to drone altitude. The drone-based beamforming system can improve throughput significantly over IEEE 802.11 SISO schemes with select carrier frequencies in both LOS and NLOS scenarios up to 73.6% and 120.1%, respectively. Since our study spans many critical frequency bands, these results serve as a fundamental step towards understanding drone-to-ground communications and impact of beamforming-based applications in future aerial networks.","PeriodicalId":360054,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130152055","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}
{"title":"Rate-optimal communication under nonlinear Gaussian noise via constellation shaping","authors":"Hiroki Iimori, G. Abreu","doi":"10.1109/WCNC.2018.8377347","DOIUrl":"https://doi.org/10.1109/WCNC.2018.8377347","url":null,"abstract":"In the traditional model of wireless communications systems, additive white Gaussian noise (AWGN) is assumed to be linear. However, in an increasingly important class of emerging communication systems — e.g. device-to-device (D2D), full-duplex (FD) and low-cost Internet-of-things (IoT) communication systems — the nonlinearity caused by factors such as device proximity (D2D), residual self-interference (FD) and imperfect power amplification (IoT) can no longer be neglected. A possible mechanism to improve the performance of such systems is to optimize the transmit constellation utilized, which is known in the literature as constellation shaping. With that in mind, we propose a probabilistic constellation shaping scheme to maximize the achievable rates of communication systems affected by nonlinear AWGN. To this end, we derive the analytical expression of the mutual information (MI) of such nonlinear additive white Gaussian noise (AWGN) systems with arbitrary modulation, and maximize the latter by numerically optimizing the corresponding channel input distribution. The result is a semi-analytical scheme (with analytical objective optimized numerically) which are shown to outperform systems employing conventional (uniformly distributed) constellations.","PeriodicalId":360054,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130211244","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}
{"title":"Localization of non-cooperative OFDM sources with noncoherent snapshots","authors":"M. Naraghi-Pour, T. Ikuma","doi":"10.1109/WCNC.2018.8377295","DOIUrl":"https://doi.org/10.1109/WCNC.2018.8377295","url":null,"abstract":"We investigate the problem of localization of sources transmitting OFDM communication signals. A non-cooperative setting is considered whereby the set of subcarriers used by each source is unknown. We propose an iterative localization algorithm which jointly estimates the location of the sources in both spatial and spectral domains. Furthermore, the subarrays collecting the source signals are not required to be synchronized. This eliminates the need for accurate clock synchronization across the geographically dispersed subarrays. The proposed method is based on the expectation-maximization (EM) algorithm, with a nested likelihood ratio test within each EM iteration in order to detect the subcarrier occupancy of each source. The efficacy of the algorithm is illustrated via simulation results.","PeriodicalId":360054,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131816573","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}
Jonathan Ah Sue, Peter Brand, J. Brendel, R. Hasholzner, J. Falk, Jürgen Teich
{"title":"A predictive dynamic power management for LTE-Advanced mobile devices","authors":"Jonathan Ah Sue, Peter Brand, J. Brendel, R. Hasholzner, J. Falk, Jürgen Teich","doi":"10.1109/WCNC.2018.8377189","DOIUrl":"https://doi.org/10.1109/WCNC.2018.8377189","url":null,"abstract":"Power consumption is a key challenge for LTE-Advanced or future 5G mobile devices and current power management systems successfully achieve significant power savings. However, these systems are driven by static rules and provide a posteriori responses to traffic and context changes. In this paper, we propose a smart dynamic power management system for cellular modems, extending existing power saving mechanisms by using machine learning-based traffic prediction. With the a priori knowledge of specific scheduling messages, internal device parameters can be finely tuned to improve the modem power consumption. In order to accurately estimate the power saving potential of several LTE use cases, we build a relevant data set of live network modem traces, as well as a power model of the baseband physical layer and radio frequency components. Subsequently, we propose an evaluation methodology and apply it to analyze the predictive power management performance in terms of error rate and global power consumption outcome. Our analysis results in maximal power savings of 12% for meaningful traffic scenarios as well as the identification of variables of interest to improve the proposed power manager.","PeriodicalId":360054,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130720982","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}
D. Solomitckii, A. Orsino, S. Andreev, Y. Koucheryavy, M. Valkama
{"title":"Characterization of mmWave Channel Properties at 28 and 60 GHz in Factory Automation Deployments","authors":"D. Solomitckii, A. Orsino, S. Andreev, Y. Koucheryavy, M. Valkama","doi":"10.1109/WCNC.2018.8377337","DOIUrl":"https://doi.org/10.1109/WCNC.2018.8377337","url":null,"abstract":"Future cellular systems are expected to revolutionize today's industrial ecosystem by satisfying the stringent requirements of ultra-high reliability and extremely low latency. Along these lines, the core technology to support the next-generation factory automation deployments is the use of millimeter-wave (mmWave) communication that operates at extremely high frequencies (i.e., from 10 to 100 GHz). However, characterizing the radio propagation behavior in realistic factory environments is challenging due to shorter mmWave wavelengths, which make channel properties be sensitive to the actual topology and size of the surrounding objects. For these reasons, this paper studies the important mmWave channel properties for two distinct types of factories, namely, light industry and heavy industry. These represent the extreme cases of factory classification based on the level of technology, the density and the size of the equipment, and the goods produced. Accordingly, we assess the candidate mmWave frequencies of 28 and 60 GHz for licensed-and unlicensed-band communication, respectively. After analyzing the signal propagation (e.g., in terms of path loss) and the line-of-sight (LoS) probability, our understanding is that in a factory automation environment the presence of metallic equipment and various objects produces many dissimilarities in the mmWave channel properties, thus making them difficult to describe with conventional empirical or stochastic models. Our findings suggest that the deployment of the practical mmWave systems in indoor industrial environments should not therefore rely on past propagation studies available in the literature blindly but might take into account more accurate and reliable evaluation of the environment that is possible with ray-based simulations.","PeriodicalId":360054,"journal":{"name":"2018 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"58 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133384640","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}