Pub Date : 2018-07-01DOI: 10.1109/5GWF.2018.8517075
Andrea Fendt, Simon Lohmuller, L. Schmelz, B. Bauer
With the fifth generation of mobile networks (5G) diverse new use cases arise, including enhanced Mobile Broadband (eMBB), industrial and sensor networks as well as highly safety and security critical communication services. These new use cases introduce very different requirements on the mobile communication networks, e.g., network reliability, latency and throughput. Massive network virtualization and end-to-end mobile network slicing are seen as key enablers to handle those differing requirements and providing mobile network services for the various 5G use cases by a shared physical network infrastructure. However, resource allocation and mobile network slice embedding are still unsolved problems. Therefore, in this paper a standardized and easy to understand Integer Linear Program for offline mobile network slice embedding, especially focusing on resource allocation and virtual node as well as link mapping, will be presented. Moreover, the question of how to efficiently determine a nearly optimal end-to-end mobile network slice embedding on a shared network infrastructure will be answered.
{"title":"A Network Slice Resource Allocation and Optimization Model for End-to-End Mobile Networks","authors":"Andrea Fendt, Simon Lohmuller, L. Schmelz, B. Bauer","doi":"10.1109/5GWF.2018.8517075","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8517075","url":null,"abstract":"With the fifth generation of mobile networks (5G) diverse new use cases arise, including enhanced Mobile Broadband (eMBB), industrial and sensor networks as well as highly safety and security critical communication services. These new use cases introduce very different requirements on the mobile communication networks, e.g., network reliability, latency and throughput. Massive network virtualization and end-to-end mobile network slicing are seen as key enablers to handle those differing requirements and providing mobile network services for the various 5G use cases by a shared physical network infrastructure. However, resource allocation and mobile network slice embedding are still unsolved problems. Therefore, in this paper a standardized and easy to understand Integer Linear Program for offline mobile network slice embedding, especially focusing on resource allocation and virtual node as well as link mapping, will be presented. Moreover, the question of how to efficiently determine a nearly optimal end-to-end mobile network slice embedding on a shared network infrastructure will be answered.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"76 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":"125415421","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.2018.8517004
Wei-Han Hsiao, Jing-Jing Su, Zhiqing Tang, Jia-Le Yin, Chia-Chi Huang
Several downlink power control (PC) algorithms are investigated in this paper for the fifth generation MDMA based cellular system. Among them, the closed-loop PC schemes are studied, which are useful to reduce the co-channel interference and increase the system capacity. Two kinds of iterative methods are commonly discussed. One is the SIR based approach, and the other is the eigenvalue based approach. Some representative PC algorithms are evaluated in terms of different performance metrics. In addition, an enhanced PC method is proposed which combines the advantages of the previous methods. It is shown by computer simulations that the proposed method achieves both desirable capacity performance and convergence rate in a 5G multipath division multiple access cellular system. Thus, the proposed method is a feasible downlink power control solution for 5G cellular systems.
{"title":"System Capacity and Convergence Rate Evaluation for Downlink Power Control in 5G MDMA Cellular Systems","authors":"Wei-Han Hsiao, Jing-Jing Su, Zhiqing Tang, Jia-Le Yin, Chia-Chi Huang","doi":"10.1109/5GWF.2018.8517004","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8517004","url":null,"abstract":"Several downlink power control (PC) algorithms are investigated in this paper for the fifth generation MDMA based cellular system. Among them, the closed-loop PC schemes are studied, which are useful to reduce the co-channel interference and increase the system capacity. Two kinds of iterative methods are commonly discussed. One is the SIR based approach, and the other is the eigenvalue based approach. Some representative PC algorithms are evaluated in terms of different performance metrics. In addition, an enhanced PC method is proposed which combines the advantages of the previous methods. It is shown by computer simulations that the proposed method achieves both desirable capacity performance and convergence rate in a 5G multipath division multiple access cellular system. Thus, the proposed method is a feasible downlink power control solution for 5G cellular systems.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"23 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":"125592832","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.2018.8516714
Mohammed Aliyu Gadam, N. Noordin, Ladan Maijamaa
LTE-Advanced HetNets deployment addresses issues of growing quality of service (QoS) demand, high data rates, and expanding coverage. Among the core challenges is load balancing due to user equipments (UEs) offloading for association using received signal received power (RSRP). The low-power tier is under-utilized whereas, UEs having poor channel quality consume significant amount of available resources in the network. The proposed combined channel gain and quality of service (QoS)-based access-aware (CCGQA) cell selection scheme emphasizes on the importance of combined metrics to achieve improved performance through load balancing in HetNets. The QoS requirements of the high priority UEs (HPUs) can be satisfied through association with the tier giving maximum channel gain. The association for non-QoS traffic, low priority UEs (LPUs) is by the joint metrics (channel gain, channel access probabilities of LPUs and HPUs), while the remaining resources allocated to the LPUs. The CCGQA scheme has 1.72 times UEs connected to PeNBs, 8% enhanced loadbalancing fairness compared with the RSRP and RSRP+6dB bias cell selections. The average UE throughput of LPUs has improved by 73.7% using the proposed CCGQA after satisfying the QoS requirements of HPUs.
{"title":"Combined Channel Gain and QoS-Based Access-Aware Cell Selection in LTE-Advanced HetNets","authors":"Mohammed Aliyu Gadam, N. Noordin, Ladan Maijamaa","doi":"10.1109/5GWF.2018.8516714","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516714","url":null,"abstract":"LTE-Advanced HetNets deployment addresses issues of growing quality of service (QoS) demand, high data rates, and expanding coverage. Among the core challenges is load balancing due to user equipments (UEs) offloading for association using received signal received power (RSRP). The low-power tier is under-utilized whereas, UEs having poor channel quality consume significant amount of available resources in the network. The proposed combined channel gain and quality of service (QoS)-based access-aware (CCGQA) cell selection scheme emphasizes on the importance of combined metrics to achieve improved performance through load balancing in HetNets. The QoS requirements of the high priority UEs (HPUs) can be satisfied through association with the tier giving maximum channel gain. The association for non-QoS traffic, low priority UEs (LPUs) is by the joint metrics (channel gain, channel access probabilities of LPUs and HPUs), while the remaining resources allocated to the LPUs. The CCGQA scheme has 1.72 times UEs connected to PeNBs, 8% enhanced loadbalancing fairness compared with the RSRP and RSRP+6dB bias cell selections. The average UE throughput of LPUs has improved by 73.7% using the proposed CCGQA after satisfying the QoS requirements of HPUs.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"85 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":"126982984","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.2018.8516953
Luong-Vy Le, B. Lin, Li-Ping Tung, Do Sinh
5G networks are expected to be able to satisfy a variety of vertical services for mobile users, business demands, and automotive industry. Network slicing is a promising technology for 5G to provide a network as a service (NaaS) for a wide range of services that run on different virtual networks deployed on a shared network infrastructure. Moreover, the SON (self-organizing network) in 5G is expected as a significant evolution to guarantee for full intelligence, automatic, and faster management and optimization. To deal with those requirements, recently, software-defined networking (SDN), network functions virtualization (NFV), big data, and machine learning have been proposed as emerging technologies and the necessary tools for 5G, especially, for network slicing. This study aims to integrate various machine learning (ML) algorithms, big data, SDN, and NFV to build a comprehensive architecture and an experimental framework for the future SONs and network slicing. Finally, based on this framework, we successfully implemented an early state traffic classification and network slicing for mobile broadband traffic applications implemented at Broadband Mobile Lab (BML), National Chiao Tung University (NCTU).
{"title":"SDN/NFV, Machine Learning, and Big Data Driven Network Slicing for 5G","authors":"Luong-Vy Le, B. Lin, Li-Ping Tung, Do Sinh","doi":"10.1109/5GWF.2018.8516953","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516953","url":null,"abstract":"5G networks are expected to be able to satisfy a variety of vertical services for mobile users, business demands, and automotive industry. Network slicing is a promising technology for 5G to provide a network as a service (NaaS) for a wide range of services that run on different virtual networks deployed on a shared network infrastructure. Moreover, the SON (self-organizing network) in 5G is expected as a significant evolution to guarantee for full intelligence, automatic, and faster management and optimization. To deal with those requirements, recently, software-defined networking (SDN), network functions virtualization (NFV), big data, and machine learning have been proposed as emerging technologies and the necessary tools for 5G, especially, for network slicing. This study aims to integrate various machine learning (ML) algorithms, big data, SDN, and NFV to build a comprehensive architecture and an experimental framework for the future SONs and network slicing. Finally, based on this framework, we successfully implemented an early state traffic classification and network slicing for mobile broadband traffic applications implemented at Broadband Mobile Lab (BML), National Chiao Tung University (NCTU).","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"11 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":"126356330","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.2018.8516949
Estifanos Yohannes Menta, K. Ruttik, R. Jäntti, Petteri Kela, Kari Leppänen
Recently, Ultra-Dense Network (UDN) has been evolved as one of the key enablers of future 5G wireless technologies. Thus with UDN, more users will be served simultaneously by densely deployed small cells in a confined geographical area. Such dense deployment however amplifies the problem of interference, frequent handover and frequent rescheduling of users in mobility case due to reuse of same radio resource after smaller distance. This paper describes the analysis of a dynamic pilot resource allocation scheme of UDN system where mobile users transmit periodically uplink (UL) pilot signals. Such periodic UL pilot transmission scheme enables user localization and channel estimation. The analysis considered the number of pilot resources needed to serve a given user density and how often the system has to reallocate pilot resources when interference conditions are changing for mobile users. The result on average time between consecutive reallocation of pilot resource of a mobile user gives a good insight on how timely the UDN system has to serve mobile users.
{"title":"Modeling and Analysis of Dynamic Pilot Scheduling scheme for 5G Ultra-Dense Network","authors":"Estifanos Yohannes Menta, K. Ruttik, R. Jäntti, Petteri Kela, Kari Leppänen","doi":"10.1109/5GWF.2018.8516949","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516949","url":null,"abstract":"Recently, Ultra-Dense Network (UDN) has been evolved as one of the key enablers of future 5G wireless technologies. Thus with UDN, more users will be served simultaneously by densely deployed small cells in a confined geographical area. Such dense deployment however amplifies the problem of interference, frequent handover and frequent rescheduling of users in mobility case due to reuse of same radio resource after smaller distance. This paper describes the analysis of a dynamic pilot resource allocation scheme of UDN system where mobile users transmit periodically uplink (UL) pilot signals. Such periodic UL pilot transmission scheme enables user localization and channel estimation. The analysis considered the number of pilot resources needed to serve a given user density and how often the system has to reallocate pilot resources when interference conditions are changing for mobile users. The result on average time between consecutive reallocation of pilot resource of a mobile user gives a good insight on how timely the UDN system has to serve mobile users.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"81 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":"132500341","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.2018.8516978
Onur Erturk, T. Yilmaz
Users continuously demand higher connection speeds and data traffic from wireless communication networks. The newly required network capacity should be provided by higher frequency bands, because legacy sub-6 GHz bands are already operating using advanced communication techniques that provide very high spectral efficiencies. Consequently, millimeter wave communication standards are either complete or ongoing, and general submillimeter wave applications are next in line. Accordingly, this paper proposes a motion model in hexagonal grid of a person carrying a user equipment. Electromagnetic wave blockage analyses by utilizing channel characteristics of the low-THz band are presented. Lastly, the communication and blockage probabilities of an exemplary system are both theoretically examined and numerically simulated.
{"title":"A Hexagonal Grid Based Human Blockage Model for the 5G Low Terahertz Band Communications","authors":"Onur Erturk, T. Yilmaz","doi":"10.1109/5GWF.2018.8516978","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516978","url":null,"abstract":"Users continuously demand higher connection speeds and data traffic from wireless communication networks. The newly required network capacity should be provided by higher frequency bands, because legacy sub-6 GHz bands are already operating using advanced communication techniques that provide very high spectral efficiencies. Consequently, millimeter wave communication standards are either complete or ongoing, and general submillimeter wave applications are next in line. Accordingly, this paper proposes a motion model in hexagonal grid of a person carrying a user equipment. Electromagnetic wave blockage analyses by utilizing channel characteristics of the low-THz band are presented. Lastly, the communication and blockage probabilities of an exemplary system are both theoretically examined and numerically simulated.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"1 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":"130469902","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.2018.8517066
F. Luna, Rafael Marcos Luque Baena, Jesús Martínez, J. Valenzuela-Valdés, P. Padilla
The power consumption foreseen for 5G networks is expected to be substantially greater than that of 4G systems, mainly because of the ultra-dense deployments required to meet the upcoming traffic demands. This paper deals with a multi-objective formulation of the Cell Switch-Off (CSO) problem, a well-known and effective approach to save energy in such dense scenarios, which is addressed with an accurate, yet rather unknown multi-objective metaheuristic called MOCell (multi-objective cellular genetic algorithm). It has been evaluated over a different set of networks of increasing densification levels. The results have shown that MOCell is able to reach major energy savings when compared to a widely used multi-objective algorithm.
{"title":"Addressing the 5G Cell Switch-off Problem with a Multi-objective Cellular Genetic Algorithm","authors":"F. Luna, Rafael Marcos Luque Baena, Jesús Martínez, J. Valenzuela-Valdés, P. Padilla","doi":"10.1109/5GWF.2018.8517066","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8517066","url":null,"abstract":"The power consumption foreseen for 5G networks is expected to be substantially greater than that of 4G systems, mainly because of the ultra-dense deployments required to meet the upcoming traffic demands. This paper deals with a multi-objective formulation of the Cell Switch-Off (CSO) problem, a well-known and effective approach to save energy in such dense scenarios, which is addressed with an accurate, yet rather unknown multi-objective metaheuristic called MOCell (multi-objective cellular genetic algorithm). It has been evaluated over a different set of networks of increasing densification levels. The results have shown that MOCell is able to reach major energy savings when compared to a widely used multi-objective algorithm.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"26 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":"132861528","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.2018.8516713
T. V. Do, Josef Noll, S. Dixit, Bruno Dzogovic, V. T. Do, Boning Feng
So far the 5G mobile systems are mostly known for their superiority in terms of performance, flexibility and cost efficiency but are less known for their social benefit. In this paper, the huge social benefit of 5G is demonstrated through the realization of the Internet Light. The Internet Light is aiming at providing free access to Internet information for all and can be implemented by an Internet Light Network Slice (ILNS) available and accessible to everyone. The paper provides a brief introduction of the Internet Light. After a comprehensive explanation of the 5G network slice concept the elaboration of the ILNS is described thoroughly. A concise description of a Proof-of-Concept is also given.
{"title":"Reducing Inequalities with 5G Internet Light Network Slice","authors":"T. V. Do, Josef Noll, S. Dixit, Bruno Dzogovic, V. T. Do, Boning Feng","doi":"10.1109/5GWF.2018.8516713","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516713","url":null,"abstract":"So far the 5G mobile systems are mostly known for their superiority in terms of performance, flexibility and cost efficiency but are less known for their social benefit. In this paper, the huge social benefit of 5G is demonstrated through the realization of the Internet Light. The Internet Light is aiming at providing free access to Internet information for all and can be implemented by an Internet Light Network Slice (ILNS) available and accessible to everyone. The paper provides a brief introduction of the Internet Light. After a comprehensive explanation of the 5G network slice concept the elaboration of the ILNS is described thoroughly. A concise description of a Proof-of-Concept is also given.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"36 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114101497","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.2018.8516925
Ankur Vora, K. Kang
Although key techniques for next-generation wireless communication have been explored separately, relatively little work has been done to investigate their potential cooperation for performance optimization. To address this problem, we propose a holistic framework for robust 5G communication based on multiple-input-multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM). More specifically, we design a new framework that supports: 1) index modulation based on OFDM (OFDM–M) [1]; 2) sub-band beamforming and channel estimation to achieve massive path gains by exploiting multiple antenna arrays [2]; and 3) sub-band pre-distortion for peak-to-average-power-ratio (PAPR) reduction [3] to significantly decrease the PAPR and communication errors in OFDM-IM by supporting a linear behavior of the power amplifier in the modem. The performance of the proposed framework is evaluated against the state-of-the-art QPSK, OFDM-IM [1] and QPSK-spatiotemporal QPSK-ST [2] schemes. The results show that our framework reduces the bit error rate (BER), mean square error (MSE) and PAPR compared to the baselines by approximately 6–13dB, 8–13dB, and 50%, respectively.
{"title":"Index Modulation with PAPR and Beamforming for 5G MIMO-OFDM","authors":"Ankur Vora, K. Kang","doi":"10.1109/5GWF.2018.8516925","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8516925","url":null,"abstract":"Although key techniques for next-generation wireless communication have been explored separately, relatively little work has been done to investigate their potential cooperation for performance optimization. To address this problem, we propose a holistic framework for robust 5G communication based on multiple-input-multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM). More specifically, we design a new framework that supports: 1) index modulation based on OFDM (OFDM–M) [1]; 2) sub-band beamforming and channel estimation to achieve massive path gains by exploiting multiple antenna arrays [2]; and 3) sub-band pre-distortion for peak-to-average-power-ratio (PAPR) reduction [3] to significantly decrease the PAPR and communication errors in OFDM-IM by supporting a linear behavior of the power amplifier in the modem. The performance of the proposed framework is evaluated against the state-of-the-art QPSK, OFDM-IM [1] and QPSK-spatiotemporal QPSK-ST [2] schemes. The results show that our framework reduces the bit error rate (BER), mean square error (MSE) and PAPR compared to the baselines by approximately 6–13dB, 8–13dB, and 50%, respectively.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"3 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":"114779075","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.2018.8517073
Mohamed Elkourdi, Asim Mazin, R. Gitlin
Expanding the cellular ecosystem to support an immense number of connected devices and creating a platform that accommodates a wide range of emerging services of different traffic types and Quality of Service (QoS) metrics are among the 5G’s headline features. One of the key 5G performance metrics is ultra-low latency to enable new delay-sensitive use cases. Some network architectural amendments are proposed to achieve the 5G ultra-low latency objective. With these paradigm shifts in system architecture, it is of cardinal importance to rethink the cell selection / user association process to achieve substantial improvement in system performance over conventional maximum signal-to- interference plus noise ratio (Max-SINR) and cell range expansion (CRE) algorithms employed in Long Term Evolution-Advanced (LTE-Advanced). In this paper, a novel Bayesian cell selection / user association algorithm, incorporating the access nodes capabilities and the user equipment (UE) traffic type, is proposed in order to maximize the probability of proper association and consequently enhance the system performance in terms of achieved latency. Simulation results show that Bayesian game approach attains the 5G low end-to-end latency target with a probability exceeding 80%.
{"title":"Towards Low Latency in 5G HetNets: A Bayesian Cell Selection / User Association Approach","authors":"Mohamed Elkourdi, Asim Mazin, R. Gitlin","doi":"10.1109/5GWF.2018.8517073","DOIUrl":"https://doi.org/10.1109/5GWF.2018.8517073","url":null,"abstract":"Expanding the cellular ecosystem to support an immense number of connected devices and creating a platform that accommodates a wide range of emerging services of different traffic types and Quality of Service (QoS) metrics are among the 5G’s headline features. One of the key 5G performance metrics is ultra-low latency to enable new delay-sensitive use cases. Some network architectural amendments are proposed to achieve the 5G ultra-low latency objective. With these paradigm shifts in system architecture, it is of cardinal importance to rethink the cell selection / user association process to achieve substantial improvement in system performance over conventional maximum signal-to- interference plus noise ratio (Max-SINR) and cell range expansion (CRE) algorithms employed in Long Term Evolution-Advanced (LTE-Advanced). In this paper, a novel Bayesian cell selection / user association algorithm, incorporating the access nodes capabilities and the user equipment (UE) traffic type, is proposed in order to maximize the probability of proper association and consequently enhance the system performance in terms of achieved latency. Simulation results show that Bayesian game approach attains the 5G low end-to-end latency target with a probability exceeding 80%.","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":"131614943","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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