Pub Date : 2019-04-01DOI: 10.1109/WCNCW.2019.8902882
Bruno Serra, L. Gomes, Z. Vale
The integration of the Internet of Things (IoT) devices in our buildings is already a reality and the dissemination of such devices would grow in the future. However, much of these devices deal with remote monitoring and/or control without an intrinsic context-aware control. This paper proposes hardware and software architectures for the development of IoT devices with context-aware autonomous control. The efficient and effective control, of the proposed architectures, is demonstrated using two scenarios where one television and one air conditioner unit are controlled according to their contexts. The context-aware control can increase users’ comfort while decreases the use of appliances and resources, resulting in a decrease in energy consumption.
{"title":"Lightweight Architecture for IoT Devices with Context-aware Autonomous Control","authors":"Bruno Serra, L. Gomes, Z. Vale","doi":"10.1109/WCNCW.2019.8902882","DOIUrl":"https://doi.org/10.1109/WCNCW.2019.8902882","url":null,"abstract":"The integration of the Internet of Things (IoT) devices in our buildings is already a reality and the dissemination of such devices would grow in the future. However, much of these devices deal with remote monitoring and/or control without an intrinsic context-aware control. This paper proposes hardware and software architectures for the development of IoT devices with context-aware autonomous control. The efficient and effective control, of the proposed architectures, is demonstrated using two scenarios where one television and one air conditioner unit are controlled according to their contexts. The context-aware control can increase users’ comfort while decreases the use of appliances and resources, resulting in a decrease in energy consumption.","PeriodicalId":121352,"journal":{"name":"2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124392189","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}
Appropriate traffic coordination at road intersections plays a crucial part in modern intelligent transportation systems (ITS). However, in some existing coordination algorithms, the complexity is too high to achieve real time solutions, that restricts their applications. Therefore, we try to propose an efficient computation offloading method based on an optimal coordination framework, by which the traffic throughput can be maximized [1]. Two different objective functions are adopted to make the computation simultaneously, under the constraints of the traffic statistics and communications capabilities. Numerical results show that both strategies can reduce the computation time of the system by approximate 20%. Additionally, as the computation capability of vehicles increases, the optimal offloading schemes achieved by the two proposed strategies may vary accordingly.
{"title":"Intelligent Offloading Strategies For High Throughput Traffic Intersection Coordination","authors":"Yangan Mo, Mengqi Wang, Tingting Zhang, Qinyu Zhang","doi":"10.1109/WCNCW.2019.8902659","DOIUrl":"https://doi.org/10.1109/WCNCW.2019.8902659","url":null,"abstract":"Appropriate traffic coordination at road intersections plays a crucial part in modern intelligent transportation systems (ITS). However, in some existing coordination algorithms, the complexity is too high to achieve real time solutions, that restricts their applications. Therefore, we try to propose an efficient computation offloading method based on an optimal coordination framework, by which the traffic throughput can be maximized [1]. Two different objective functions are adopted to make the computation simultaneously, under the constraints of the traffic statistics and communications capabilities. Numerical results show that both strategies can reduce the computation time of the system by approximate 20%. Additionally, as the computation capability of vehicles increases, the optimal offloading schemes achieved by the two proposed strategies may vary accordingly.","PeriodicalId":121352,"journal":{"name":"2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133038030","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}
Pub Date : 2019-04-01DOI: 10.1109/WCNCW.2019.8902910
A. Virdis, G. Nardini, G. Stea
In this paper we argue that Multi-access Edge Computing can be an enabler for platooning services. We design a MEC-based application for platooning, whereby vehicles report their speed and position periodically, and the MEC runs a platoon formation algorithm to form platoons, and a platoon coordination control algorithm, to set the acceleration of each vehicle to maintain formation with the necessary safety distance. We simulate the above framework in a realistic scenario, where communications occur through a LTE-Advanced network, and we show that it is effective and inexpensive from a communication point of view.
{"title":"A Framework for MEC-enabled Platooning","authors":"A. Virdis, G. Nardini, G. Stea","doi":"10.1109/WCNCW.2019.8902910","DOIUrl":"https://doi.org/10.1109/WCNCW.2019.8902910","url":null,"abstract":"In this paper we argue that Multi-access Edge Computing can be an enabler for platooning services. We design a MEC-based application for platooning, whereby vehicles report their speed and position periodically, and the MEC runs a platoon formation algorithm to form platoons, and a platoon coordination control algorithm, to set the acceleration of each vehicle to maintain formation with the necessary safety distance. We simulate the above framework in a realistic scenario, where communications occur through a LTE-Advanced network, and we show that it is effective and inexpensive from a communication point of view.","PeriodicalId":121352,"journal":{"name":"2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134505287","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}
Pub Date : 2019-04-01DOI: 10.1109/WCNCW.2019.8902608
Wei Wu, Danpu Liu
Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems utilize hybrid beamforming techniques to alleviate the implementation complexity of combining a large number of antennas. In this paper, we propose a hybrid processing algorithm via matrix decomposition for mmWave massive MU-MIMO systems. Both inter-user interference (IUI) and inter-stream interference (ISI) within the user are taken into consideration. We derive a closed-form expression of digital and analog precoder/combiner to achieve nearlyoptimal performance. In the large system analysis, we prove that the proposed algorithm can obtain unconstrained optimal performance when the number of antennas is infinite. The results indicate that the proposed algorithm outperforms other existing hybrid designs in terms of BER and sum-rate.
{"title":"Hybrid Processing for Multi-user Millimeter-Wave Massive MIMO Systems via Matrix Decomposition","authors":"Wei Wu, Danpu Liu","doi":"10.1109/WCNCW.2019.8902608","DOIUrl":"https://doi.org/10.1109/WCNCW.2019.8902608","url":null,"abstract":"Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems utilize hybrid beamforming techniques to alleviate the implementation complexity of combining a large number of antennas. In this paper, we propose a hybrid processing algorithm via matrix decomposition for mmWave massive MU-MIMO systems. Both inter-user interference (IUI) and inter-stream interference (ISI) within the user are taken into consideration. We derive a closed-form expression of digital and analog precoder/combiner to achieve nearlyoptimal performance. In the large system analysis, we prove that the proposed algorithm can obtain unconstrained optimal performance when the number of antennas is infinite. The results indicate that the proposed algorithm outperforms other existing hybrid designs in terms of BER and sum-rate.","PeriodicalId":121352,"journal":{"name":"2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127637536","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}
Pub Date : 2019-04-01DOI: 10.1109/WCNCW.2019.8902685
Lingfeng Wang, Jianqiao Chen, Xiaoli Yang, Nan Ma, Ping Zhang
In this paper, we propose a three-dimensional (3D) multi-confocal ellipsoid channel model for massive multiple-input multiple-output (MIMO) communication systems, which considers the coexistence of isotropic scatterers and non-isotropic scatterers. Specifically, the inner ellipsoids are used to model the isotropic scatterers, and the outer ellipsoids are used to model the non-isotropic scatterers. First, under the spherical wavefront assumption, we develop the mathematical relationships between the angle of arrival (AOA) and the angle of departure (AOD), which is more precise than conventional approximation, and can be used to capture the channel non-stationary properties. Second, we study the correlations of the proposed model in detail, and study the impacts of important parameters such as scatterer type and scatterer distribution on it. Finally, our numerical and the simulation results demonstrate that the proposed model can capture features of realistic massive MIMO channels and can be matched well to existing literatures.
{"title":"A 3D Ellipsoid Model for Isotropic and Non-Isotropic Scatterers Co-existing Massive MIMO Channels","authors":"Lingfeng Wang, Jianqiao Chen, Xiaoli Yang, Nan Ma, Ping Zhang","doi":"10.1109/WCNCW.2019.8902685","DOIUrl":"https://doi.org/10.1109/WCNCW.2019.8902685","url":null,"abstract":"In this paper, we propose a three-dimensional (3D) multi-confocal ellipsoid channel model for massive multiple-input multiple-output (MIMO) communication systems, which considers the coexistence of isotropic scatterers and non-isotropic scatterers. Specifically, the inner ellipsoids are used to model the isotropic scatterers, and the outer ellipsoids are used to model the non-isotropic scatterers. First, under the spherical wavefront assumption, we develop the mathematical relationships between the angle of arrival (AOA) and the angle of departure (AOD), which is more precise than conventional approximation, and can be used to capture the channel non-stationary properties. Second, we study the correlations of the proposed model in detail, and study the impacts of important parameters such as scatterer type and scatterer distribution on it. Finally, our numerical and the simulation results demonstrate that the proposed model can capture features of realistic massive MIMO channels and can be matched well to existing literatures.","PeriodicalId":121352,"journal":{"name":"2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126169464","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}
Pub Date : 2019-03-31DOI: 10.1109/WCNCW.2019.8902900
J. Hassan, Ayub Bokani, S. Kanhere
This paper presents a new method for recharging flying base stations, carried by Unmanned Aerial Vehicles (UAVs), using wireless power transfer from dedicated, airborne, Radio Frequency (RF) energy sources. In particular, we study a system in which UAVs receive wireless power without being disrupted from their regular trajectory. The optimal placement of the energy sources are studied so as to maximize received power from the energy sources by the receiver UAVs flying with a linear trajectory over a square area. We find that for our studied scenario of two UAVs, if an even number of energy sources are used, placing them in the optimal locations maximizes the total received power, while achieving fairness among the UAVs. However, in the case of using an odd number of energy sources, we can either maximize the total received power, or achieve fairness, but not both at the same time. Numerical results show that placing the energy sources at the suggested optimal locations results in significant power gain compared to non-optimal placements.
{"title":"Recharging of Flying Base Stations using Airborne RF Energy Sources","authors":"J. Hassan, Ayub Bokani, S. Kanhere","doi":"10.1109/WCNCW.2019.8902900","DOIUrl":"https://doi.org/10.1109/WCNCW.2019.8902900","url":null,"abstract":"This paper presents a new method for recharging flying base stations, carried by Unmanned Aerial Vehicles (UAVs), using wireless power transfer from dedicated, airborne, Radio Frequency (RF) energy sources. In particular, we study a system in which UAVs receive wireless power without being disrupted from their regular trajectory. The optimal placement of the energy sources are studied so as to maximize received power from the energy sources by the receiver UAVs flying with a linear trajectory over a square area. We find that for our studied scenario of two UAVs, if an even number of energy sources are used, placing them in the optimal locations maximizes the total received power, while achieving fairness among the UAVs. However, in the case of using an odd number of energy sources, we can either maximize the total received power, or achieve fairness, but not both at the same time. Numerical results show that placing the energy sources at the suggested optimal locations results in significant power gain compared to non-optimal placements.","PeriodicalId":121352,"journal":{"name":"2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW)","volume":"164 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125958960","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}
Pub Date : 2019-03-19DOI: 10.1109/WCNCW.2019.8902857
Roberto Bomfin, Marwa Chafii, G. Fettweis
This paper proposes a low-complexity iterative receiver for the recently proposed Orthogonal Chirp Division Multiplexing (OCDM) modulation scheme, where we consider a system under frequency-selective channels and constrained to channel state information availability only at the receiver. It has been shown that under these assumptions, OCDM becomes an optimal waveform in terms of performance, i.e., frame error rate (FER), when employing a receiver capable of achieving perfect feedback equalizer (PFE) performance. Thus, this work targets proposing such a receiver for OCDM with low-complexity. Our approach is based on the well accepted minimum mean squared error with parallel interference cancellation (MMSE-PIC), where we derive an approximated equalizer whose complexity is reduced to two fast Fourier transforms (FFTs) per iteration. The FER results reveal that i) the proposed low-complexity receiver performs as good as the original MMSE-PIC, ii) OCDM performs very closely to PFE, and iii) OCDM has approximately 2 dB improvement over OFDM.
{"title":"Low-Complexity Iterative Receiver for Orthogonal Chirp Division Multiplexing","authors":"Roberto Bomfin, Marwa Chafii, G. Fettweis","doi":"10.1109/WCNCW.2019.8902857","DOIUrl":"https://doi.org/10.1109/WCNCW.2019.8902857","url":null,"abstract":"This paper proposes a low-complexity iterative receiver for the recently proposed Orthogonal Chirp Division Multiplexing (OCDM) modulation scheme, where we consider a system under frequency-selective channels and constrained to channel state information availability only at the receiver. It has been shown that under these assumptions, OCDM becomes an optimal waveform in terms of performance, i.e., frame error rate (FER), when employing a receiver capable of achieving perfect feedback equalizer (PFE) performance. Thus, this work targets proposing such a receiver for OCDM with low-complexity. Our approach is based on the well accepted minimum mean squared error with parallel interference cancellation (MMSE-PIC), where we derive an approximated equalizer whose complexity is reduced to two fast Fourier transforms (FFTs) per iteration. The FER results reveal that i) the proposed low-complexity receiver performs as good as the original MMSE-PIC, ii) OCDM performs very closely to PFE, and iii) OCDM has approximately 2 dB improvement over OFDM.","PeriodicalId":121352,"journal":{"name":"2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129542435","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}
Pub Date : 2019-03-13DOI: 10.1109/WCNCW.2019.8902865
N. Mahmood, A. Karimi, Gilberto Berardinelli, K. Pedersen, D. Laselva
Multi-connectivity with packet duplication, where the same data packet is duplicated and transmitted from multiple transmitters, is proposed in 5G New Radio as a reliability enhancement feature. This paper presents an analytical study of the outage probability enhancement with multi-connectivity, and analyses its cost in terms of resource usage. The performance analysis is further compared against conventional single-connectivity transmission. Our analysis shows that, for transmission with a given block error rate target, multi-connectivity results in more than an order of magnitude outage probability improvement over the baseline single-connectivity scheme. However, such gains are achieved at the cost of almost doubling the amount of radio resources used. Multi-connectivity should thus be selectively used such that its benefits can be harnessed for critical users, while the price to pay in terms of resource utilization is simultaneously minimized.
{"title":"On the Resource Utilization of Multi-Connectivity Transmission for URLLC Services in 5G New Radio","authors":"N. Mahmood, A. Karimi, Gilberto Berardinelli, K. Pedersen, D. Laselva","doi":"10.1109/WCNCW.2019.8902865","DOIUrl":"https://doi.org/10.1109/WCNCW.2019.8902865","url":null,"abstract":"Multi-connectivity with packet duplication, where the same data packet is duplicated and transmitted from multiple transmitters, is proposed in 5G New Radio as a reliability enhancement feature. This paper presents an analytical study of the outage probability enhancement with multi-connectivity, and analyses its cost in terms of resource usage. The performance analysis is further compared against conventional single-connectivity transmission. Our analysis shows that, for transmission with a given block error rate target, multi-connectivity results in more than an order of magnitude outage probability improvement over the baseline single-connectivity scheme. However, such gains are achieved at the cost of almost doubling the amount of radio resources used. Multi-connectivity should thus be selectively used such that its benefits can be harnessed for critical users, while the price to pay in terms of resource utilization is simultaneously minimized.","PeriodicalId":121352,"journal":{"name":"2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131826645","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}
Pub Date : 2019-03-10DOI: 10.1109/WCNCW.2019.8902766
Fatemeh Asghari Azhiri, R. Abdolee, B. M. Tazehkand
Space-time coded massive (STCM) multiple-input multiple-output (MIMO) system provides superior bit error rate (BER) performance compared with the conventional space-time coding and massive MIMO techniques. The transmitter of the STCM-MIMO system consists of a large antenna array. In a practical system, the self-interference created by the signals transmitted by the elements of this antenna array, known as mutual coupling (MC), degrades the performance of the system. The MC effect is pronounced in communication systems with a large antenna array. On the other hand, increasing the number of transmitting antennas results in improved BER performance. Hence, there is a trade off in selecting the optimum number of transmitting antennas in an STCM-MIMO system. In order to take the impact of MC into account, we have derived an analytical expression for the received signal to accurately model the STCM-MIMO system under the existence of the MC effect. We present an algorithm to select the optimal number of antennas to minimize mutual coupling and the system bit error rate (BER). Through computer simulations, we investigate the BER performance of the STCM-MIMO system for different numbers of array elements.
{"title":"Effect of Mutual Coupling on the Performance of STCM-MIMO Systems","authors":"Fatemeh Asghari Azhiri, R. Abdolee, B. M. Tazehkand","doi":"10.1109/WCNCW.2019.8902766","DOIUrl":"https://doi.org/10.1109/WCNCW.2019.8902766","url":null,"abstract":"Space-time coded massive (STCM) multiple-input multiple-output (MIMO) system provides superior bit error rate (BER) performance compared with the conventional space-time coding and massive MIMO techniques. The transmitter of the STCM-MIMO system consists of a large antenna array. In a practical system, the self-interference created by the signals transmitted by the elements of this antenna array, known as mutual coupling (MC), degrades the performance of the system. The MC effect is pronounced in communication systems with a large antenna array. On the other hand, increasing the number of transmitting antennas results in improved BER performance. Hence, there is a trade off in selecting the optimum number of transmitting antennas in an STCM-MIMO system. In order to take the impact of MC into account, we have derived an analytical expression for the received signal to accurately model the STCM-MIMO system under the existence of the MC effect. We present an algorithm to select the optimal number of antennas to minimize mutual coupling and the system bit error rate (BER). Through computer simulations, we investigate the BER performance of the STCM-MIMO system for different numbers of array elements.","PeriodicalId":121352,"journal":{"name":"2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132682030","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}
Pub Date : 2019-03-05DOI: 10.1109/WCNCW.2019.8902852
Miltiades Filippou, D. Sabella, Vincenzo Riccobene
Multi-access Edge Computing (MEC) is commonly recognized as a key supporting technology for the emerging 5G systems. When deployed in fully virtualized networks, i.e., following the Network Function Virtualization (NFV) paradigm, it will enable a multitude of new applications and use cases. However, the growing number of devices, combined with the vastly increasing traffic demand, call for low End-to-End (E2E) latency packet transfer and processing in an NFV environment, both in user and control plane. In this paper, focusing on control plane packet traffic, we investigate the general case of a MEC application consuming a MEC service running on a different MEC host. To enable flexible MEC platform service consumption at different localities, based on a state-of-the-art statistical model of the total processing time, we define latency-aware proximity zones around MEC servers hosting MEC application instances. Exemplary scenarios exhibit the E2E performance benefit of introducing the awareness of proximity zones around MEC hosts and service producing MEC application instances. This performance-aware service consumption will be beneficial in view of the future evolution towards distributed computing systems.
{"title":"Flexible MEC service consumption through edge host zoning in 5G networks","authors":"Miltiades Filippou, D. Sabella, Vincenzo Riccobene","doi":"10.1109/WCNCW.2019.8902852","DOIUrl":"https://doi.org/10.1109/WCNCW.2019.8902852","url":null,"abstract":"Multi-access Edge Computing (MEC) is commonly recognized as a key supporting technology for the emerging 5G systems. When deployed in fully virtualized networks, i.e., following the Network Function Virtualization (NFV) paradigm, it will enable a multitude of new applications and use cases. However, the growing number of devices, combined with the vastly increasing traffic demand, call for low End-to-End (E2E) latency packet transfer and processing in an NFV environment, both in user and control plane. In this paper, focusing on control plane packet traffic, we investigate the general case of a MEC application consuming a MEC service running on a different MEC host. To enable flexible MEC platform service consumption at different localities, based on a state-of-the-art statistical model of the total processing time, we define latency-aware proximity zones around MEC servers hosting MEC application instances. Exemplary scenarios exhibit the E2E performance benefit of introducing the awareness of proximity zones around MEC hosts and service producing MEC application instances. This performance-aware service consumption will be beneficial in view of the future evolution towards distributed computing systems.","PeriodicalId":121352,"journal":{"name":"2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125071908","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}
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