Context-aware, user-driven, network-controlled RAT selection for 5G networks

Barmpounakis, Sokratis; Kaloxylos, Alexandros; Spapis, Panagiotis; Alonistioti, Nancy

doi:10.1016/j.comnet.2016.12.008

Cited by 30 publications

(20 citation statements)

References 19 publications

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“…Distributed user association has been studied using various methods, including multiple attribute decision making (MADM) [88], MDP [89], fuzzy-logic [90], game theory (e.g. cooperative game [91], and non-cooperative game [80]).…”

Section: A Conventional User Association Approachesmentioning

confidence: 99%

AI-Assisted Network-Slicing Based Next-Generation Wireless Networks

Shen

Gao

et al. 2020

IEEE Open J. Veh. Technol.

263

115

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Section: A Conventional User Association Approachesmentioning

confidence: 99%

AI-Assisted Network-Slicing Based Next-Generation Wireless Networks

Shen

Gao

et al. 2020

IEEE Open J. Veh. Technol.

263

115

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“…When addressing the HO in 5G, existing works are usually divided in targeting the reduction of HOFs [3], [31], [62], reduction of HO rate [1], [63], [64], [65], or a combination of both [66]- [70], improving throughput or QoE of the user [1], [31], [71]- [77] and reduction of HO signaling [78], [79]. Other works are devoted to assess the energy saving [62], [80] and load balancing [62], [64].…”

Section: B Literature Surveymentioning

confidence: 99%

“…The works in [31], [71]- [77] are targeted at maximizing the throughput during the HO process. In [71], [72], context-aware RAT selection for the 5G network is proposed to improve the QoE, mainly the user throughput and delays. A fuzzy logic controller is modeled to extract the RAT suitability metric based on the BS load, UE mobility, backhaul load, traffic flow type and RSS.…”

Section: B Literature Surveymentioning

confidence: 99%

A Survey on Handover Management: From LTE to NR

2019

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To satisfy the high data demands in future cellular networks, an ultra-densification approach is introduced to shrink the coverage of base station (BS) and improve the frequency reuse. The gain in capacity is expected but at the expense of increased interference, frequent handovers (HOs), increased HO failure (HOF) rates, increased HO delays, increase in ping pong rate, high energy consumption, increased overheads due to frequent HO, high packet losses and bad user experience mostly in high-speed user equipment (UE) scenarios. This paper presents the general concepts of radio access mobility in cellular networks with possible challenges and current research focus. In this article, we provide an overview of HO management in longterm evolution (LTE) and 5G new radio (NR) to highlight the main differences in basic HO scenarios. A detailed literature survey on radio access mobility in LTE, heterogeneous networks (HetNets) and NR is provided. In addition, this paper suggests HO management challenges and enhancing techniques with a discussion on the key points that need to be considered in formulating an efficient HO scheme. INDEX TERMS Radio access mobility, cell selection, handover, LTE, 5G, NR, mobility enhancers. Ph.D. degree in electrical engineering with Aalto University, Finland. He has more than two years, from 2013 to 2015, of professional experience as an RF Planning and Optimization Executive at Wi-Tribe Pakistan Ltd. (Ooredoo Group). During his stay at KFUPM, he was associated with the King Abdullah University of Science and Technology (KAUST), Saudi Arabia, as a Visiting Student and a KFUPM-KAUST Joint Research Initiative. He has been a Researcher with the Helsinki Research Center, Huawei Technologies Finland Oy, since February 2018. His current research interest includes energy-efficient mobility for small-cell overlaid cellular networks. He received the Gold Medal Award for obtaining the first position in the B.Sc. degree. XAVIER GELABERT received the M.Sc. degree in electrical engineering from the KTH Royal Institute of Technology, Stockholm, in 2003, and the joint B.Sc. and M.Sc. degrees in telecom engineering and the Ph.D. degree (Hons.

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“…In fact, the number of Indonesian markets using WhatsApp as an alternative to voice calls is increasing [8], being facilitated by 4G data communication. However, despite competition at the handset level, the integration between license and nonlicense connectivity, i.e., LTE and WiFi interworking have been proposed as a promising network solution regardless of certain drawbacks [40] [41]. This fact reveals a need to intensify innovation enhancement in the area of handset connectivity to non-cellular and the free-unlicensed spectrum platform.…”

Section: ) Satellite and Drone As Disruptive Innovation For 5g Netwomentioning

confidence: 99%

Managing 5G Technology: Using Quality of Experience (QoE) to Identify the Innovation Enhancement Pattern According to the Indonesian Market

Suryanegara

2020

IEEE Access

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The coevolution of 5G technological development and the growing market toward the 5G era has generated an innovation enhancement pattern. Identifying this pattern will reveal the 5G services in demand in the market and the infrastructure required for improving the 5G era. Herein, the patterns of 5G technological innovation enhancements are identified as expected in the Indonesian market. We use a novel approach that combines the users' accumulated experience of mobile technology and market expectation. Two types of questionnaires are developed for this purpose: the first determines the quality of experience (QoE) parameters of 4G compared to the preceding 3G and 2G generations and the second analyzes the expectation of QoE parameters for 5G. This study defines 15 QoE parameters reflecting the aspects of infrastructure and services together with their impact on users. The users' answers are classified into six clusters, which are translated into the innovation enhancement pattern. The findings reveal a pattern in which the Indonesian market is predominantly characterized by satisfied users who expect 5G to provide a better experience than 4G, 3G, and 2G despite the presence of some disappointed users in the market who require specialized innovation with variation in disruptive ways. In terms of 5G infrastructure, certain essential patterns include innovation enhancement to serve remote areas, the increasing significance of connectivity to non-cellular and free-service applications, and the market's constant requirement for a better handset while the local industry may harness the opportunity to complete the 5G ecosystem. In terms of service, essential patterns include a strong need for 5G service innovation to render users more innovative, maintaining societal values while delivering the service, and the service innovation required to connect religious life and the 5G service, which should make users feel more healthy and fit. Finally, we discuss how the patterns recognized herein can help mobile operators to develop appropriate strategies for successfully implementing 5G technology.

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Context-aware, user-driven, network-controlled RAT selection for 5G networks

Cited by 30 publications

References 19 publications

AI-Assisted Network-Slicing Based Next-Generation Wireless Networks

AI-Assisted Network-Slicing Based Next-Generation Wireless Networks

A Survey on Handover Management: From LTE to NR

Managing 5G Technology: Using Quality of Experience (QoE) to Identify the Innovation Enhancement Pattern According to the Indonesian Market

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