Pub Date : 2018-07-01DOI: 10.1109/5GWF.2018.8517065
Eren Balevi, R. Gitlin
The integration of slotted Aloha with power domain non-orthogonal multiple access (NOMA), dubbed slotted Aloha- NOMA (SAN) can emerge as an appealing MAC protocol to be used for Internet-of-Things (IoT) applications over 5G networks. In this paper, SAN is discussed, and its performance is evaluated in detail. The simulation results demonstrate that the maximum normalized throughput can be increased from 0:37, which is the case for slotted Aloha, to 1 by means of SAN. Specifically, this full throughput efficiency can be obtained at all low, medium and high network traffics. Besides that, the average delay can be significantly reduced compared to the slotted Aloha.
{"title":"A Random Access Scheme for Large Scale 5G/IoT Applications","authors":"Eren Balevi, R. Gitlin","doi":"10.1109/5GWF.2018.8517065","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8517065","url":null,"abstract":"The integration of slotted Aloha with power domain non-orthogonal multiple access (NOMA), dubbed slotted Aloha- NOMA (SAN) can emerge as an appealing MAC protocol to be used for Internet-of-Things (IoT) applications over 5G networks. In this paper, SAN is discussed, and its performance is evaluated in detail. The simulation results demonstrate that the maximum normalized throughput can be increased from 0:37, which is the case for slotted Aloha, to 1 by means of SAN. Specifically, this full throughput efficiency can be obtained at all low, medium and high network traffics. Besides that, the average delay can be significantly reduced compared to the slotted Aloha.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128438462","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 : 2018-07-01DOI: 10.1109/5GWF.2018.8517048
M. Ayad, A. Couturier, P. Poilvert, L. Marechal, P. Auxemery
This paper presents the realization and characteristics of broadband plastic low cost packaged 5G High Power Frond-End (HPFE) operating in 24-31GHz bandwidth. This demonstrator includes a Transmit and Receive paths realized on mixed technologies: 150nm Gallium Nitride on Silicon Carbide (AlGaN/GaN on SiC) and 150nm Gallium Arsenide (GaAs).Continuous Wave (CW) measured power results of the Transmit path (Tx) demonstrates a maximum output power (POUT,Tx) higher than 2W (33.5dBm) with 25% drain efficiency (DE), 24% power added efficiency (PAE), and 36dB of insertion gain (GI,Tx) in the 24-31GHz bandwidth. The receiver path (Rx) presents an maximum output power (POUT,Rx) of 30mW (15.5dBm) and an average Noise Figure (NF) of 3.6dB with an associated Insertion Gain (GI,Rx) of 20dB in the same bandwidth.The HPFE/Tx linearity has been investigated with several M-QAM modulation signals with 25/50 and 100MHz channel spacing and using Digital Pre-Distortion (DPD) leading to 48dBc Adjacent Channel Leakage Ratio (ACLR) and 40dB Mean Squared Error (MSE) for average output powers ranging from 17dBm to 25dBm. The linearity performances have been compared to the ones obtained with two other linear GaAs amplifiers (PA1 and PA2) dedicated to point to point telecommunications application: the HPFE presents similar linearity performances associated to a higher efficiency.Thanks to the mixed technologies approach, an optimized trade-off in terms of integration, electrical performances and cost has been demonstrated.
介绍了工作在24-31GHz带宽范围内的宽带塑料低成本封装5G高功率前端(HPFE)的实现及其特点。该演示器包括采用混合技术实现的发射和接收路径:150nm碳化硅上的氮化镓(AlGaN/GaN on SiC)和150nm砷化镓(GaAs)。发射路径(Tx)的连续波(CW)测量功率结果表明，在24-31GHz带宽下，最大输出功率(POUT,Tx)高于2W (33.5dBm)，漏极效率(DE)为25%，功率附加效率(PAE)为24%，插入增益(GI,Tx)为36dB。接收器路径(Rx)在相同带宽下的最大输出功率(POUT,Rx)为30mW (15.5dBm)，平均噪声系数(NF)为3.6dB，相关插入增益(GI,Rx)为20dB。我们研究了几种具有25/50和100MHz信道间隔的M-QAM调制信号的HPFE/Tx线性度，并使用数字预失真(DPD)在17dBm至25dBm的平均输出功率范围内导致48dBc的相邻信道泄漏比(ACLR)和40dB的均方误差(MSE)。将线性性能与专用于点对点电信应用的另外两种线性GaAs放大器(PA1和PA2)的线性性能进行了比较:HPFE具有与更高效率相关的相似线性性能。由于混合技术的方法，在集成、电气性能和成本方面的优化权衡已经得到证明。
{"title":"Packaged High Power Frond-End Module for Broadband 24GHz & 28GHz 5G solutions","authors":"M. Ayad, A. Couturier, P. Poilvert, L. Marechal, P. Auxemery","doi":"10.1109/5GWF.2018.8517048","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8517048","url":null,"abstract":"This paper presents the realization and characteristics of broadband plastic low cost packaged 5G High Power Frond-End (HPFE) operating in 24-31GHz bandwidth. This demonstrator includes a Transmit and Receive paths realized on mixed technologies: 150nm Gallium Nitride on Silicon Carbide (AlGaN/GaN on SiC) and 150nm Gallium Arsenide (GaAs).Continuous Wave (CW) measured power results of the Transmit path (Tx) demonstrates a maximum output power (POUT,Tx) higher than 2W (33.5dBm) with 25% drain efficiency (DE), 24% power added efficiency (PAE), and 36dB of insertion gain (GI,Tx) in the 24-31GHz bandwidth. The receiver path (Rx) presents an maximum output power (POUT,Rx) of 30mW (15.5dBm) and an average Noise Figure (NF) of 3.6dB with an associated Insertion Gain (GI,Rx) of 20dB in the same bandwidth.The HPFE/Tx linearity has been investigated with several M-QAM modulation signals with 25/50 and 100MHz channel spacing and using Digital Pre-Distortion (DPD) leading to 48dBc Adjacent Channel Leakage Ratio (ACLR) and 40dB Mean Squared Error (MSE) for average output powers ranging from 17dBm to 25dBm. The linearity performances have been compared to the ones obtained with two other linear GaAs amplifiers (PA1 and PA2) dedicated to point to point telecommunications application: the HPFE presents similar linearity performances associated to a higher efficiency.Thanks to the mixed technologies approach, an optimized trade-off in terms of integration, electrical performances and cost has been demonstrated.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121743651","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 : 2018-06-19DOI: 10.1109/5GWF.2018.8516921
V. Marojevic, Shem Kikamaze, R. Nealy, C. Dietrich
Practical testing of the latest wireless communications standards requires the availability of flexible radio frequency hardware, networking and computing resources. We are providing a Cloud-based infrastructure which offers the necessary resources to carry out tests of the latest 5G standards. The testbed provides a Cloud-based Infrastructure as a Service. The research community can access hardware and software resources through a virtual platform that enables isolation and customization of experiments. In other words, researchers have control over the preferred experimental architecture and can run concurrent experiments on the same testbed. This paper introduces the resources that can be used to develop 5G testbeds and experiments.
{"title":"5G-CORNET: Platform as a Service","authors":"V. Marojevic, Shem Kikamaze, R. Nealy, C. Dietrich","doi":"10.1109/5GWF.2018.8516921","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516921","url":null,"abstract":"Practical testing of the latest wireless communications standards requires the availability of flexible radio frequency hardware, networking and computing resources. We are providing a Cloud-based infrastructure which offers the necessary resources to carry out tests of the latest 5G standards. The testbed provides a Cloud-based Infrastructure as a Service. The research community can access hardware and software resources through a virtual platform that enables isolation and customization of experiments. In other words, researchers have control over the preferred experimental architecture and can run concurrent experiments on the same testbed. This paper introduces the resources that can be used to develop 5G testbeds and experiments.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114511626","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 : 2018-06-19DOI: 10.1109/5GWF.2018.8517018
Marti Floriach-Pigem, Guillem Xercavins-Torregrosa, A. Gelonch, V. Marojevic
Next generation wireless communications networks will leverage software-defined radio and networking technologies, combined with cloud and fog computing. A pool of resources can then be dynamically allocated to create personalized network services (NSs). The enabling technologies are abstraction, virtualization and consolidation of resources, automatization of processes, and programmatic provisioning and orchestration. ETSI's network functions virtualization (NFV) management and orchestration (MANO) framework provides the architecture and specifications of the management layers. We introduce OOCRAN, an open-source software framework and testbed that extends existing NFV management solutions by incorporating the radio communications layers. This paper presents OOCRAN and illustrates how it monitors and manages the pool of resources for creating tailored NSs. OOCRAN can automate NS reconfiguration, but also facilitates user control. We demonstrate the dynamic deployment of cellular NSs and discuss the challenges of dynamically creating and managing tailored NSs on shared infrastructure.
{"title":"Creating Tailored and Adaptive Network Services with the Open Orchestration C-RAN Framework","authors":"Marti Floriach-Pigem, Guillem Xercavins-Torregrosa, A. Gelonch, V. Marojevic","doi":"10.1109/5GWF.2018.8517018","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8517018","url":null,"abstract":"Next generation wireless communications networks will leverage software-defined radio and networking technologies, combined with cloud and fog computing. A pool of resources can then be dynamically allocated to create personalized network services (NSs). The enabling technologies are abstraction, virtualization and consolidation of resources, automatization of processes, and programmatic provisioning and orchestration. ETSI's network functions virtualization (NFV) management and orchestration (MANO) framework provides the architecture and specifications of the management layers. We introduce OOCRAN, an open-source software framework and testbed that extends existing NFV management solutions by incorporating the radio communications layers. This paper presents OOCRAN and illustrates how it monitors and manages the pool of resources for creating tailored NSs. OOCRAN can automate NS reconfiguration, but also facilitates user control. We demonstrate the dynamic deployment of cellular NSs and discuss the challenges of dynamically creating and managing tailored NSs on shared infrastructure.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130765003","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 : 2018-05-11DOI: 10.1109/5GWF.2018.8516938
M. Alonzo, S. Buzzi, A. Zappone
This paper considers cell-free and user-centric approaches for coverage improvement in wireless cellular systems operating at millimeter wave frequencies, and proposes downlink power control algorithms aimed at maximizing the global energy efficiency. To tackle the non-convexity of the problems, an interaction between sequential and alternating optimization is considered. The use of hybrid analog/digital beamformers is also taken into account. The numerical results show the benefits obtained from the power control algorithm, as well as that the user-centric approach generally outperforms the cell-free one.
{"title":"Energy-Efficient Downlink Power Control in mmWave Cell-Free and User-Centric Massive MIMO","authors":"M. Alonzo, S. Buzzi, A. Zappone","doi":"10.1109/5GWF.2018.8516938","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516938","url":null,"abstract":"This paper considers cell-free and user-centric approaches for coverage improvement in wireless cellular systems operating at millimeter wave frequencies, and proposes downlink power control algorithms aimed at maximizing the global energy efficiency. To tackle the non-convexity of the problems, an interaction between sequential and alternating optimization is considered. The use of hybrid analog/digital beamformers is also taken into account. The numerical results show the benefits obtained from the power control algorithm, as well as that the user-centric approach generally outperforms the cell-free one.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127941713","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 : 2018-04-30DOI: 10.1109/5GWF.2018.8517049
Sarunas Kalade, L. Crockett, R. Stewart
In the last few years Machine Learning (ML) has seen explosive growth in a wide range of research fields and industries. With the advancements in Software Defined Radio (SDR), which allows more intelligent, adaptive radio systems to be built, the wireless communications field has a number of opportunities to apply ML techniques. In this paper, a novel approach to demodulation using a Sequence to Sequence (Seq2Seq) model is proposed. This type of model is shown to work effectively with PSK data and also has a number of useful properties that are not present in other machine learning algorithms. A basic Seq2Seq implementation for BPSK and QPSK demodulation is presented in this paper, and learned properties such as Automatic Modulation Classification (AMC), and ability to adapt to different length input sequences, are demonstrated. This is an exciting new avenue of research that provides considerable potential for application in next generation 5G networks.
{"title":"Using Sequence to Sequence Learning for Digital BPSK and QPSK Demodulation","authors":"Sarunas Kalade, L. Crockett, R. Stewart","doi":"10.1109/5GWF.2018.8517049","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8517049","url":null,"abstract":"In the last few years Machine Learning (ML) has seen explosive growth in a wide range of research fields and industries. With the advancements in Software Defined Radio (SDR), which allows more intelligent, adaptive radio systems to be built, the wireless communications field has a number of opportunities to apply ML techniques. In this paper, a novel approach to demodulation using a Sequence to Sequence (Seq2Seq) model is proposed. This type of model is shown to work effectively with PSK data and also has a number of useful properties that are not present in other machine learning algorithms. A basic Seq2Seq implementation for BPSK and QPSK demodulation is presented in this paper, and learned properties such as Automatic Modulation Classification (AMC), and ability to adapt to different length input sequences, are demonstrated. This is an exciting new avenue of research that provides considerable potential for application in next generation 5G networks.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116617257","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 : 2018-03-19DOI: 10.1109/5GWF.2018.8517059
Yiming Huo, Xiaodai Dong, Wei Xu, Marvin Yuen
Motivated by providing solutions to design challenges of coexisting cellular and WiFi for future 5G application scenarios, this paper, first, conducts an in-depth investigation of current technological trends of 5G from user equipment (UE) design perspective, and then presents a cost-effective cellular-WiFi design methodology based on the new distributed phased array MIMO (DPA-MIMO) architecture for practical 5G UE devices as an example. Furthermore, additional 5G cellular-WiFi application scenarios and co-operation details within 5G heterogeneous networks are unveiled on top of the said cellular-WiFi co-enabled 5G UE design.
{"title":"Cellular and WiFi Co-design for 5G User Equipment","authors":"Yiming Huo, Xiaodai Dong, Wei Xu, Marvin Yuen","doi":"10.1109/5GWF.2018.8517059","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8517059","url":null,"abstract":"Motivated by providing solutions to design challenges of coexisting cellular and WiFi for future 5G application scenarios, this paper, first, conducts an in-depth investigation of current technological trends of 5G from user equipment (UE) design perspective, and then presents a cost-effective cellular-WiFi design methodology based on the new distributed phased array MIMO (DPA-MIMO) architecture for practical 5G UE devices as an example. Furthermore, additional 5G cellular-WiFi application scenarios and co-operation details within 5G heterogeneous networks are unveiled on top of the said cellular-WiFi co-enabled 5G UE design.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125154282","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 : 2018-02-01DOI: 10.1109/5GWF.2018.8517087
V. Yajnanarayana, Y.-P. Eric Wang, Shiwei Gao, S. Muruganathan, Xingqin Lin
A main challenge in providing connectivity to the low altitude unmanned aerial vehicles (UAVs) through existing cellular network arises due to the increased interference in the network. The increased altitude and favourable propagation condition cause UAVs to generate more interference to the neighbouring cells, and at the same time experience more interference from the downlink transmissions of the neighbouring base stations. The uplink interference problem may result in terrestrial user equipments (UEs) having degraded performance, whereas the downlink interference problem may make it challenging for a UAV to maintain connection with the network. In this paper, we propose several uplink and downlink interference mitigation techniques to address these issues. The results indicate that the proposed solutions can reduce the uplink throughput degradation of terrestrial UEs and ensure UAVs to remain in LTE coverage under the worst case scenarios when all the base stations transmit at full power.
{"title":"Interference Mitigation Methods for Unmanned Aerial Vehicles Served by Cellular Networks","authors":"V. Yajnanarayana, Y.-P. Eric Wang, Shiwei Gao, S. Muruganathan, Xingqin Lin","doi":"10.1109/5GWF.2018.8517087","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8517087","url":null,"abstract":"A main challenge in providing connectivity to the low altitude unmanned aerial vehicles (UAVs) through existing cellular network arises due to the increased interference in the network. The increased altitude and favourable propagation condition cause UAVs to generate more interference to the neighbouring cells, and at the same time experience more interference from the downlink transmissions of the neighbouring base stations. The uplink interference problem may result in terrestrial user equipments (UEs) having degraded performance, whereas the downlink interference problem may make it challenging for a UAV to maintain connection with the network. In this paper, we propose several uplink and downlink interference mitigation techniques to address these issues. The results indicate that the proposed solutions can reduce the uplink throughput degradation of terrestrial UEs and ensure UAVs to remain in LTE coverage under the worst case scenarios when all the base stations transmit at full power.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130607962","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 : 2018-01-27DOI: 10.1109/5GWF.2018.8516954
Shahram Shahsavari, S. A. Hosseini, Chris T. K. Ng, E. Erkip
Hybrid beamforming via large antenna arrays has a great potential for increasing data rate in cellular networks by delivering multiple data streams simultaneously. In this paper, several beamforming design algorithms are proposed based on long-term channel information in macro-cellular environments where the base station is equipped with a massive phased array under per-antenna power constraint. Using an adaptive scheme, beamforming vectors are updated whenever the long-term channel information changes. First, the problem is studied when the base station has a single RF chain (single-beam scenario). Semi-definite relaxation (SDR) with randomization is used to solve the problem. As a second approach, a low-complexity heuristic beam composition algorithm is proposed which performs very close to the upper-bound obtained by SDR. Next, the problem is studied for a generic number of RF chains (multi-beam scenario) where the Gradient Projection method is used to obtain local solutions. Numerical results reveal that using massive antenna arrays with optimized beamforming vectors can lead to five-fold network throughput improvement over systems with conventional antennas.
{"title":"Adaptive Hybrid Beamforming with Massive Phased Arrays in Macro-Cellular Networks","authors":"Shahram Shahsavari, S. A. Hosseini, Chris T. K. Ng, E. Erkip","doi":"10.1109/5GWF.2018.8516954","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516954","url":null,"abstract":"Hybrid beamforming via large antenna arrays has a great potential for increasing data rate in cellular networks by delivering multiple data streams simultaneously. In this paper, several beamforming design algorithms are proposed based on long-term channel information in macro-cellular environments where the base station is equipped with a massive phased array under per-antenna power constraint. Using an adaptive scheme, beamforming vectors are updated whenever the long-term channel information changes. First, the problem is studied when the base station has a single RF chain (single-beam scenario). Semi-definite relaxation (SDR) with randomization is used to solve the problem. As a second approach, a low-complexity heuristic beam composition algorithm is proposed which performs very close to the upper-bound obtained by SDR. Next, the problem is studied for a generic number of RF chains (multi-beam scenario) where the Gradient Projection method is used to obtain local solutions. Numerical results reveal that using massive antenna arrays with optimized beamforming vectors can lead to five-fold network throughput improvement over systems with conventional antennas.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122116404","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 : 2018-01-02DOI: 10.1109/5GWF.2018.8516960
N. Akshatha, P. Jha, A. Karandikar
In order to meet the increasing demands of high data rate and low latency cellular broadband applications, plans are underway to roll out the Fifth Generation (5G) cellular wireless system by the year 2020. This paper proposes a novel method for adapting the Third Generation Partnership Project (3GPP)’s 5G architecture to the principles of Software Defined Networking (SDN). It relocates the control functionality present in the 5G Radio Access Network (RAN) to the network core, resulting in the conversion of the base station known as the gNB into a pure data plane node. This brings about a significant reduction in signaling costs between the RAN and the core network. It also results in improved system performance. The merits of our proposal have been illustrated by evaluating the Key Performance Indicators (KPIs) of the 5G network, such as network attach (registration) time and handover time. We have also demonstrated improvements in attach time and system throughput due to the use of centralized algorithms for mobility management with the help of ns-3 simulations.
{"title":"A Centralized SDN Architecture for the 5G Cellular Network","authors":"N. Akshatha, P. Jha, A. Karandikar","doi":"10.1109/5GWF.2018.8516960","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516960","url":null,"abstract":"In order to meet the increasing demands of high data rate and low latency cellular broadband applications, plans are underway to roll out the Fifth Generation (5G) cellular wireless system by the year 2020. This paper proposes a novel method for adapting the Third Generation Partnership Project (3GPP)’s 5G architecture to the principles of Software Defined Networking (SDN). It relocates the control functionality present in the 5G Radio Access Network (RAN) to the network core, resulting in the conversion of the base station known as the gNB into a pure data plane node. This brings about a significant reduction in signaling costs between the RAN and the core network. It also results in improved system performance. The merits of our proposal have been illustrated by evaluating the Key Performance Indicators (KPIs) of the 5G network, such as network attach (registration) time and handover time. We have also demonstrated improvements in attach time and system throughput due to the use of centralized algorithms for mobility management with the help of ns-3 simulations.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126362659","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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