{"title":"Sparse Vector Coding for 5G Ultra-Reliable and Low Latency Communications","authors":"Hyoungju Ji, S. Park, B. Shim","doi":"10.1109/ICC.2018.8422147","DOIUrl":"https://doi.org/10.1109/ICC.2018.8422147","url":null,"abstract":"Ultra reliable and low latency communication (URLLC) is a newly introduced service category in 5G to support delay-sensitive applications. In order to support this new service category, 3rd Generation Partnership Project (3GPP) sets an aggressive requirement that a packet should be delivered with 10^-5 block error rate within 1 ms transmission period. Since the current wireless standard designed to maximize the coding gain by transmitting capacity achieving long code-block is not relevant for this purpose, entirely new transmission strategy is required. In this paper, we propose a new approach to transmit short packet information, called sparse vector coding (SVC). Key idea behind the proposed method is to transmit the control channel information after the sparse vector transformation. By mapping the transmit information into the position of nonzero elements and then transmitting it after the random spreading, we obtain underdetermined sparse system for which the principle of compressed sensing can be applied. From the numerical evaluations on realistic channel setting and decoder performance analysis, we demonstrate that the proposed SVC technique is very effective in URLLC transmission and outperforms the 4G LTE and LTE-Advanced physical downlink control channel (PDCCH) scheme.","PeriodicalId":387855,"journal":{"name":"2018 IEEE International Conference on Communications (ICC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115532519","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":"Object Tracking via Blocking in Millimeter Wave Communications: A Blessing Misfortune","authors":"Zhiyang Zhang, Liang Li, Yawen Fan, Husheng Li","doi":"10.1109/ICC.2018.8422810","DOIUrl":"https://doi.org/10.1109/ICC.2018.8422810","url":null,"abstract":"Millimeter wave is a promising technique in the next generation of cellular communications due to its large bandwidth and thus unprecedentedly high data transmission rate. In this paper, the blocking effect of millimeter wave is studied through a series of experiments. Then, the blocking of millimeter wave communications is applied to track the movement of the blocking object. Two object tracking schemes via the blocking effect, using two different criteria, are proposed. A walking trajectory model is proposed and analyzed to evaluate the performance of the proposed tracking algorithm analytically. The performance of the proposed schemes is tested by simulations on true trajectories based on GPS measurement.","PeriodicalId":387855,"journal":{"name":"2018 IEEE International Conference on Communications (ICC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115709968","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}
N. Makris, Christos Zarafetas, Pavlos Basaras, T. Korakis, N. Nikaein, L. Tassiulas
{"title":"Cloud-Based Convergence of Heterogeneous RANs in 5G Disaggregated Architectures","authors":"N. Makris, Christos Zarafetas, Pavlos Basaras, T. Korakis, N. Nikaein, L. Tassiulas","doi":"10.1109/ICC.2018.8422227","DOIUrl":"https://doi.org/10.1109/ICC.2018.8422227","url":null,"abstract":"Cloud-RAN based architectures are widely considered a fundamental part of 5G networks. As a consequence, in the upcoming standards for 5G RAN, disaggregating the RAN functionality between a Central Unit (CU) and multiple Distributed Units (DUs) is considered, addressing the splitting of the 5G protocol stack at the PDCP/RLC point. This split is expected to bring numerous advantages to mobile network operators, as through the isolation of the stack from the PDCP layer and upwards, the CU will be able to act as the Cloud-based convergence point among multiple heterogeneous technologies in the provisioned networks and hence able to serve multiple heterogeneous DUs. Moreover, data rate requirements for this type of split are not very demanding, thus allowing the IP-based transferring of data from the DU to CU and vice-versa. In this work, we propose, implement and evaluate a protocol for a Cloud-RAN based architecture allowing the selection and dynamic switching of different heterogeneous networks in the RAN. We rely on the open source OpenAirInterface platform and extend it to support data plane splitting of the LTE functionality, and the subsequent data injection to WiFi networks. We evaluate the platform using a real network setup, under several scenarios of network selection and different delay settings.","PeriodicalId":387855,"journal":{"name":"2018 IEEE International Conference on Communications (ICC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115873456","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}
M. Condoluci, R. Trivisonno, Toktam Mahmoodi, Xueli An
{"title":"mIot Connectivity Solutions for Enhanced 5G Systems","authors":"M. Condoluci, R. Trivisonno, Toktam Mahmoodi, Xueli An","doi":"10.1109/ICC.2018.8422802","DOIUrl":"https://doi.org/10.1109/ICC.2018.8422802","url":null,"abstract":"Within the ongoing activities devoted to the definition of 5G networks, massive Internet of Things (mIoT) is regarded as a compelling use case, both for its relevance from business perspective, and for the technical challenges it poses to network design. With their envisaged massive deployment of devices requiring sporadic connectivity and small data transmission, yet QoS constrained, mIoT services will require adhoc end- to-end (E2E) solutions, i.e., featuring access and core network enhanced Control and User planes (CP/UP) mechanisms. This paper presents and evaluates a novel connectivity solution to manage massive number of devices. The paper presents an analytical model developed to evaluate the performance of the proposed solution. Quantitative results derived from the model demonstrate the effectiveness of the solution proposed in this paper, compared to 4G systems, and its ability to reduce CP signaling and optimize UP resource utilization for massive device deployment.","PeriodicalId":387855,"journal":{"name":"2018 IEEE International Conference on Communications (ICC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115908383","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":"Reduced-Dimension Symbol Detection in Random Access Channel","authors":"Milutin Pajovic, P. Orlik","doi":"10.1109/ICC.2018.8422126","DOIUrl":"https://doi.org/10.1109/ICC.2018.8422126","url":null,"abstract":"In a growing number of IoT applications, an access point communicates with IoT users whose number prevents assignment of orthogonal channel resources to them, and renders network management and control impractical. Consequently, symbols transmitted from active users collide, which necessitates their separation on the receiver side. Given that an IoT user transmits with low probability, the sparsity in the user activity domain has been exploited in a number of previous works, where the symbol separation problem is formulated and solved as a sparse recovery problem. However, an excessive computational complexity remains a challenge in such approaches, where the number of filters in the equivalent receiver filter bank is equal to the overall number of users. Consequently, reduced-dimension processors facilitating low complexity symbol separation are sought. We propose here two novel reduced-dimension processors. In addition, a scheme, which aims to remove an impractical requirement that the receiver knows channels from all users is proposed and studied in conjunction with the reduced-dimension processors. Furthermore, pre-whitened reduced- dimension processors and a variety of approaches for the design of dimensionality reduction transformation matrix are considered. Finally, the results are validated with simulations. As such, the tests show that the proposed processors considerably outperform the benchmark, and also that the pre-whitened processors outperform their non-pre-whitened counterparts.","PeriodicalId":387855,"journal":{"name":"2018 IEEE International Conference on Communications (ICC)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124275549","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 New Protection Scheme Based on Daily Traffic Demand for Survivable Fiber-Wireless (FiWi) Access Network","authors":"Hong Zhang, Ruyang Wang, Honggang Wang","doi":"10.1109/ICC.2018.8422443","DOIUrl":"https://doi.org/10.1109/ICC.2018.8422443","url":null,"abstract":"With a tremendous increase of traffic demands in fiber- wireless (FiWi) access network, achieving good survivability is facing significant challenges because vast traffic could be interrupted due to the failure of any FiWi components. Especially, when a segment failure occurs, all the components in the segment could be disconnected with optical line terminal (OLT). Several existing research works focus on handling segment failures by deploying backup fibers. However, they ignore the fact that the traffic demand is frequently varied with different human daily needs. Therefore, a new protection scheme based on daily traffic demand (PS-DTD) is proposed to deal with the segment failure instead in this paper. In the scheme, we optimize the deployment of backup fibers by solving minimum cost maximum flow and minimum cost maximum matching problems. Simulation results show that the proposed PS- DTD mechanism outperforms the existing ones in terms of cost and efficiency especially under high traffic demands.","PeriodicalId":387855,"journal":{"name":"2018 IEEE International Conference on Communications (ICC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117247727","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}
Jin-yuan Wang, Cheng Liu, Jun-Bo Wang, J. Dai, Min Lin, Ming Chen
{"title":"Secrecy Outage Probability Analysis over Malaga-Malaga Fading Channels","authors":"Jin-yuan Wang, Cheng Liu, Jun-Bo Wang, J. Dai, Min Lin, Ming Chen","doi":"10.1109/ICC.2018.8422835","DOIUrl":"https://doi.org/10.1109/ICC.2018.8422835","url":null,"abstract":"As a novel statistical model, Málaga distribution is proposed recently, which covers many commonly used fading models as special cases. The secure transmission of information over the Málaga fading channels has not been discussed in literature. In this paper, the secrecy outage probability (SOP) over the Málaga fading channels is investigated. Initially, an exact expression of the SOP is derived, which is with an integral term and can not be easily used in practice. To reduce its computational complexity, a closed-from expression for the lower bound of the SOP is then obtained. Numerical results that illustrate the effect of the Málaga fading on system performance are provided. The accuracy of the performance analysis is verified by simulations.","PeriodicalId":387855,"journal":{"name":"2018 IEEE International Conference on Communications (ICC)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116009476","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":"Dynamic Computation Offloading and Resource Allocation over Mobile Edge Computing Networks with Energy Harvesting Capability","authors":"Fei Wang, Xi Zhang","doi":"10.1109/ICC.2018.8422096","DOIUrl":"https://doi.org/10.1109/ICC.2018.8422096","url":null,"abstract":"As an emerging and promising technique, the mobile edge computing (MEC) can significantly enhance the computational capability and save computing energy of mobiles, by offloading the computation-intensive tasks from the resource-constrained mobiles to the resource-rich MEC servers. However, since mobiles are generally energy constrained, mobile applications may still be interrupted when the energy of mobiles runs out. To overcome this challenge, we propose to integrate energy harvesting (EH) technique, which can enable mobiles to collect recyclable energy from ambient environments, into MEC, and develop the joint computation offloading and resource allocation scheme for the MEC system supporting multiple EH mobiles. In our considered scenario, each mobile first harvests energy from radio frequency (RF) signals emitted by a base station (BS) which is equipped with an MEC server, and then utilizes the harvested energy to execute its own task either locally at the mobile or by offloading to MEC. Moreover, our developed MEC system employs non- orthogonal multiple access (NOMA) so that multiple mobiles can utilize the same system subcarriers for task offloading to improve system performance. We first formulate the computation offloading and resource allocation problem of interest into an optimization problem, aiming to minimize the total task execution time of all mobiles under their strict timely-execution requirements. Then, we develop the joint computation offloading and resource allocation schemes, through which we can dynamically determine: 1) the energy harvesting time for mobiles; 2) the CPU clock frequencies of mobiles which intend local computing on their own; and 3) the set of mobiles which choose data offloading as well as the subcarriers and power allocations for these mobiles. Finally, we validate and evaluate the proposed offloading and resource allocation scheme through numerical analyses.","PeriodicalId":387855,"journal":{"name":"2018 IEEE International Conference on Communications (ICC)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123392157","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":"Computing Probability Density Functions of Compound Distributions: A Comparative Investigation","authors":"T. Olofsson, A. Ahlén","doi":"10.1109/ICC.2018.8423041","DOIUrl":"https://doi.org/10.1109/ICC.2018.8423041","url":null,"abstract":"The problem of evaluating compound probability distributions where one of the involved distributions is normal, frequently occurring when modelling communication channels in indoor industrial environments, is considered. Three different methods are investigated. They will here be named Gauss Newton Raphson (GNR), based on the Laplace approximation, Gauss- Hermite Quadratures (GHQ), and a Discrete Convolutional Sum (DCS). These three methods are investigated and compared for a one point problem assuming data that are continuous in amplitude, and a problem where data are assumed to be received in quantized bins. The relative integral approximation error, resulting from computing the compound distribution, is evaluated for the different methods and their complexities are compared. Simulations are provided to illustrate the advantages and disadvantages of the different methods.","PeriodicalId":387855,"journal":{"name":"2018 IEEE International Conference on Communications (ICC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129395055","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}
Yu Gu, Tao Liu, Jie Li, Fuji Ren, Zhi Liu, Xiaoyan Wang, Pengjie Li
{"title":"EmoSense: Data-Driven Emotion Sensing via Off-the-Shelf WiFi Devices","authors":"Yu Gu, Tao Liu, Jie Li, Fuji Ren, Zhi Liu, Xiaoyan Wang, Pengjie Li","doi":"10.1109/ICC.2018.8422330","DOIUrl":"https://doi.org/10.1109/ICC.2018.8422330","url":null,"abstract":"Emotion is a unique feature of human beings. Recent research in emotion sensing has already revealed its potentials in enhancing our living experiences through applications like emotion companion and autism treatment. However, existing solutions exploring audiovisual clues or psychological sensors have several critical concerns such as the availability (specialized hardware), reliability (illumination and line-of-sight constraints) and privacy issues (being watched). To this end, we present EmoSense, a first-of-its-kind WiFi-based emotion sensing system leveraging the temporal and frequency fingerprints on the wireless channel data induced by the physical expression of emotion. EmoSense has been prototyped with off- the-shelf WiFi devices and evaluated by comparing with the main-stream sensor-based approach in real environments. Experimental results demonstrate its effectiveness and robustness. Considering that EmoSense is compatible with existing WiFi infrastructures, it constitutes a low-cost yet promising solution for emotion sensing.","PeriodicalId":387855,"journal":{"name":"2018 IEEE International Conference on Communications (ICC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128317914","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}