{"title":"On Non-Intrusive Coexistence of eLAA and Legacy WiFi Networks","authors":"Qimei Chen, Z. Ding","doi":"10.1109/ICC.2019.8761765","DOIUrl":"https://doi.org/10.1109/ICC.2019.8761765","url":null,"abstract":"This paper proposes an enhanced licensed-assisted-access (eLAA) and WiFi coexistence mechanism for LTE deployment in the unlicensed spectrum. Specifically, we utilize the Clear-to-Send-to-Self (CTS-to-Self) frame to seamlessly embed the eLAA transmission within the WiFi access protocol. Unlike traditional LAA ideas, our proposed eLAA is non-intrusive to WiFi users and beneficial to both eLAA and WiFi users. To fully consider the performance of WiFi users, we propose to insert the CTS-to-Self frame under the carrier sense multiple access with collision avoidance (CSMA/CA) mechanism. For further throughput enhancement, we adopt the Nash bargaining solution (NBS) to develop a fair and optimal unlicensed resource allocation scheme and also develop a low computational complexity algorithm to solve the NBS-based problem. Our numerical results corroborate the analytical results and demonstrate the strength of the proposed mechanism.","PeriodicalId":402732,"journal":{"name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116744895","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}
Chaofan He, Yang Hu, Yan Chen, Xiaopeng Fan, Houqiang Li, B. Zeng
{"title":"Exploiting Channel Assignment and Power Allocation for Linear Uncoded Multiuser Video Streaming","authors":"Chaofan He, Yang Hu, Yan Chen, Xiaopeng Fan, Houqiang Li, B. Zeng","doi":"10.1109/ICC.2019.8761895","DOIUrl":"https://doi.org/10.1109/ICC.2019.8761895","url":null,"abstract":"Multiuser video transmission, where the server transmits videos to multiple users that request different contents at the same time, becomes more and more popular with the development of wireless communication technology. One key problem in multiuser video transmission is how to optimally allocate the system resources such as transmission power and channels to multiple users to achieve the best system performance. To resolve the problem, in this paper, we propose an uncoded multiuser video streaming system, which exploits diversities of video contents and channel conditions of multiple users. We first solve the channel assignment problem with known power allocation by taking into account the intra-block energy diffusion and inter-block energy aliasing. Then, with the obtained channel assignment, we derive a closed-form solution to the multiuser power allocation optimization problem. Finally, we conduct simulations to evaluate the proposed uncoded multiuser video streaming system by comparing with three other approaches, and simulation results show that the proposed method can achieve the best system performance.","PeriodicalId":402732,"journal":{"name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121058755","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}
Ruihong Jiang, Ke Xiong, Pingyi Fan, Duohua Wang, Z. Zhong
{"title":"Information-Energy Region of Mobile SWIPT Networks with Nonlinear EH Model","authors":"Ruihong Jiang, Ke Xiong, Pingyi Fan, Duohua Wang, Z. Zhong","doi":"10.1109/ICC.2019.8761069","DOIUrl":"https://doi.org/10.1109/ICC.2019.8761069","url":null,"abstract":"This paper investigates the information-energy (I-E) region for simultaneous wireless information and power transfer (SWIPT) system in mobility scenarios, where a moving transmitter transmits information and energy to a power splitting (PS)-based receiver. An optimization problem is formulated to explore the system I-E region under the nonlinear energy harvesting (EH) model by jointly optimizing the transmit power at the transmitter and the PS ratio at the receiver. Since the problem is nonconvex, a successive convex approximate-based (SCA-based) algorithm is proposed, which is able to find the sub-optimal solution with low complexity. For comparison, the I-E region of the system under the linear model is also studied, where some closed and semi-closed solutions are derived by using Lagrange dual method and KKT conditions. Numerical results show that compared with the linear EH model, the nonlinear EH model yields a smaller I-E region due to the limitations of EH circuit features. Nevertheless, using the nonlinear EH model avoids the false achievable I-E region for practical mobile SWIPT systems. Besides, it shows that the higher moving speed yields the smaller I-E region. Moreover, with the increment of the required information amount, the harvested energy bias caused by the linear EH model decreases, but the bias ratio increases.","PeriodicalId":402732,"journal":{"name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121337354","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}
Leandro Batista de Almeida, D. Magoni, Philip Perry, E. Almeida, John Murphy, Anthony Ventresque
{"title":"Multi-Layer-Mesh: A Novel Topology and SDN-Based Path Switching for Big Data Cluster Networks","authors":"Leandro Batista de Almeida, D. Magoni, Philip Perry, E. Almeida, John Murphy, Anthony Ventresque","doi":"10.1109/ICC.2019.8761785","DOIUrl":"https://doi.org/10.1109/ICC.2019.8761785","url":null,"abstract":"Big Data technologies and tools have being used for the past decade to solve several scientific and industry problems, with Hadoop/YARN becoming the “de facto” standard for these applications, although other technologies run on top of it. As any other distributed application, those big data technologies rely heavily on the network infrastructure to read and move data from hundreds or thousands of cluster nodes. Although these technologies are based on reliable and efficient distributed algorithms, there are scenarios and conditions that can generate bottlenecks and inefficiencies, i.e., when a high number of concurrent users creates data access contention. In this paper, we propose a novel network topology called Multi-Layer-Mesh and a path switching algorithm based on SDN, that can increase the performance of a big data cluster while reducing the amount of utilized resources (network equipment), in turn reducing the energy and cooling consumption. A thorough simulation-based evaluation of our algorithms shows an average improvement in performance of 31.77% and an average decrease in resource utilization of 36.03% compared to a traditional Spine-Leaf topology, in the selected test scenarios.","PeriodicalId":402732,"journal":{"name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","volume":"514 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116333195","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 Delay-Aware Deployment Policy for End-to-End 5G Network Slicing","authors":"Xinjie Feng, Zhaoming Lu, Luhan Wang, Wanqing Guan","doi":"10.1109/ICC.2019.8761633","DOIUrl":"https://doi.org/10.1109/ICC.2019.8761633","url":null,"abstract":"5G networks need to support various use cases which may require different quality of service (QoS). Network slicing (NS) is an innovative concept to customize different logical networks from a common general infrastructure for these services. A slice is composed of a set of virtual network functions (VNFs) that can be deployed on standard commodity servers as virtual machines (VMs). However, the packet delay of VMs may be affected by other VMs on the same server. In this paper, we investigate network slice deployment policy to improve the network performance by guaranteeing the latency requirements. Moreover, a realistic mathematical model is formulated, considering the effects of virtualization on end-to-end delay. Due to the diversity of network slices' topologies and various performance requirements, we propose a heuristic algorithm to deploy different network slices. Extensive experiments demonstrate that our algorithm can get solutions with reasonable execution time and achieve lower delay and higher acceptance ratio.","PeriodicalId":402732,"journal":{"name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","volume":"55 25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124134378","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":"Robust Molecular Communications: DFE-SPRTs and Synchronisation","authors":"Tze-Yang Tung, U. Mitra","doi":"10.1109/ICC.2019.8761054","DOIUrl":"https://doi.org/10.1109/ICC.2019.8761054","url":null,"abstract":"Precise synchronisation of transmitters and receivers is particularly challenging in diffusive molecular communication environments. To this end, a point-to-point molecular communication system is examined wherein the design of the transceiver offers resilience to synchronisation errors. In particular, the development of a sequential probability ratio test-based detector, which allows for additional observations in the presence of uncertainty due to mis-synchronisation at the receiver, and a modulation design which is optimised for this receiver strategy, is considered. The structure of the probability of molecules hitting a receiver within a particular time slot is exploited. An approximate maximum log-likelihood estimator for the synchronisation error is derived and the Cramér-Rao bound (CRB) computed, to show that the performance of the proposed estimator is close to the CRB at low transmission rates. The proposed receiver and modulation designs achieve strongly improved asynchronous detection performance for the same data rate as a decision feedback based receiver by a factor of 3 to 5 on average.","PeriodicalId":402732,"journal":{"name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125155729","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}
Yunkai Hu, Peng Wang, Zihuai Lin, Ming Ding, Ying-Chang Liang
{"title":"Machine Learning Based Signal Detection for Ambient Backscatter Communications","authors":"Yunkai Hu, Peng Wang, Zihuai Lin, Ming Ding, Ying-Chang Liang","doi":"10.1109/ICC.2019.8761796","DOIUrl":"https://doi.org/10.1109/ICC.2019.8761796","url":null,"abstract":"The ambient backscatter communication (AmBC) system enables radio-frequency (RF) powered devices (e.g., tags, sensors) to transmit their information bits to readers by backscattering and modulating the ambient RF signal. Different from traditional radio-frequency identification (RFID) systems, an AmBC system does not require a reader to transmit excitation signals to the tag and there is no additional carrier emitters required. Therefore, AmBC systems exhibit low-cost and high energy efficiency. The existing AmBC systems utilize an energy detector or a Minimum Mean Square Error (MMSE) detector to detect tag signals which suffers from high bit error rate (BER). In this paper, a machine learning based detection method is proposed to detect the tag signals for an AmBC system by transforming the detection problem into a classification problem. In more detail, the proposed method classifies the received signals into two groups based on the energy features of the received signals. Our simulation results show that the proposed machine learning based detection method outperforms the traditional detection methods, especially in the low SNR regime.","PeriodicalId":402732,"journal":{"name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128509774","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":"Angle Diversity to Increase Coverage and Position Accuracy in 3D Visible Light Positioning","authors":"E. Lam, T. Little","doi":"10.1109/ICC.2019.8761558","DOIUrl":"https://doi.org/10.1109/ICC.2019.8761558","url":null,"abstract":"The most common approach to light-based indoor positioning relies on multilateration of received signals to the mobile device. Any deficiencies in the fidelity of these light signals can significantly distort position estimates. In this paper, we propose a method to dynamically control the light distribution from the overhead luminaires to mitigate fading effects that would otherwise occur under static lighting. By manipulating the direction of the luminaire, effectively the dispersion pattern, we introduce signal diversity in the form of multiple pointing angles and light distributions. In addition to providing angle diversity, steering and then tracking sustains the maximal line-of-sight path between a source and receiver, which reduces angle-dependent attenuation and optimizes the signal-to-noise ratio for any coordinate without needing to change the physical properties of the source or receiver. This gain in signal strength combats the limited field-of-view of luminaires and photodiodes to provide better overall coverage, which translates directly to increase positioning accuracy, particularly in a 3D space. In the results, we show field-of-view gains of 43% and improvements in MSE of 20cm.","PeriodicalId":402732,"journal":{"name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127024984","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":"Latency-Aware Traffic Grooming for Dynamic Service Chaining in Metro Networks","authors":"Leila Askari, F. Musumeci, M. Tornatore","doi":"10.1109/ICC.2019.8761290","DOIUrl":"https://doi.org/10.1109/ICC.2019.8761290","url":null,"abstract":"Optical metro networks are currently evolving in response to the new requirements of emerging 5G services. Network Function Virtualization (NFV) is being leveraged as a platform to dynamically provision these services on top of Virtual Network Functions (VNFs), and central offices in metro areas are being upgraded to host processing units that can host the needed to provision services with stringent-latency and high-bandwidth requirements closer to users (i.e., edge computing). By concatenating these VNFs in a specific order and route traffic among them, operators generate a so-called “Service Chain“(SC). Considering the fact that, new 5G services have bandwidth requirements typically with sub-wavelength granularity, traffic grooming is required to achieve efficient network resources utilization. Since grooming affects the end-to-end latency of provisioned services, we investigate how to perform latency-aware traffic grooming, and we propose an algorithm for dynamic SC provisioning, that considers the latency requirements of each SC to decide about if grooming shall be allowed at intermediate network nodes. Our proposed algorithm tries to minimize the blocked bandwidth as well as number of nodes to host VNFs in the network (NFV-nodes) considering the nodes computational capacity, links bandwidth and end-to-end latency constraints. Results obtained from numerical evaluation show that, our algorithm is able to reduce the number of NFV-nodes up to 50%, while keeping amount of blocked bandwidth below a specific threshold.","PeriodicalId":402732,"journal":{"name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130582147","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}
Roohollah Rezaei, Sumei Sun, Xin Kang, Y. Guan, Mohammadreza Pakravan
{"title":"Secrecy Throughput Maximization for Full-Duplex Wireless Powered Communication Networks","authors":"Roohollah Rezaei, Sumei Sun, Xin Kang, Y. Guan, Mohammadreza Pakravan","doi":"10.1109/ICC.2019.8761724","DOIUrl":"https://doi.org/10.1109/ICC.2019.8761724","url":null,"abstract":"In this paper, we investigate the secrecy throughput for a full-duplex wireless powered communication network. A multi-antenna base station (BS) transmits energy towards nodes all the time and each node harvests energy prior to its transmission time slot. Nodes sequentially transmit their confidential information to the BS in presence of other nodes which are considered as potential eavesdroppers. We derive the secrecy rate and formulate the sum secrecy throughput optimization of all nodes. The optimization variables are the time slot duration and the BS beamforming during different transmission phases. The problem is non-convex and non-trivial. We propose a suboptimal approach in which the BS focuses its beamforming to blind the potential eavesdroppers (other nodes) during the information transmission phase, with which we then obtain the optimum beamforming in each time slot and its duration. We compare our algorithm with uniform time slot and uniform beamforming in different settings and demonstrate its superior performance.","PeriodicalId":402732,"journal":{"name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132048073","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}