Enhancement of Radio Access Technologies for 5G and Beyond Wireless Networks

김준석 2020년
논문상세정보
' Enhancement of Radio Access Technologies for 5G and Beyond Wireless Networks' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 응용 물리
  • 5g
  • 5세대(5G)
  • beam management
  • load analysis
  • millimeter-wave
  • network simulator-3
  • random-access
  • supervised-learning
  • 랜덤 액세스
  • 밀리미터파
  • 부하 분석
  • 빔 관리
  • 지도 학습
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
5,088 0

0.0%

' Enhancement of Radio Access Technologies for 5G and Beyond Wireless Networks' 의 참고문헌

  • protocol specification
    [2020]
  • physicalChannels and modulation
    [2018]
  • [7] W. Feng, Y. Wang, D. Lin, N. Ge, J. Lu, and S. Li, “When mmWave communications meet network densification: A scalable interference coordination perspective,” IEEE J. Sel. Areas Commun., vol. 35, no. 7, pp. 1459–1471, 2017. [8] Z. Sha, Z. Wang, S. Chen, and L. Hanzo, “Early-late protocol for coordinated beam scheduling in mmWave cellular networks,” in Proc. GLOBECOM. IEEE, 2019, pp. 1–6.
  • [53] V. Rath and T. Shilpa, Towards 5G: Applications, requirements and candidate technologies. John Wiley & Sons, 2017.
  • [52] The Network Simulator-3. [Online]. Available: http://www.nsnam.org
  • [50] Simulation of urban mobility. [Online]. Available: http://sumo.dlr.de
  • [49] 3GPP TS 38.133, “NR; Requirements for support of radio resource management,” ver. 16.2.0, Jan. 2020.
    [2020]
  • [44] 3GPP TS 38.300, “NR; NR and NG-RAN overall description; Stage 2,” ver. 16.0.0, Jan. 2020.
    2 [2020]
  • [39] M. Sagraloff and K. Mehlhorn, “Computing real roots of real polynomials,” Journal of Symbolic Computation, vol. 73, pp. 46–86, 2016.
  • [32] 3GPP TR 37.868, “Study on RAN improvements for machine-type communications,” ver. 11.0.0, Sept. 2011.
  • [28] C. Anton-Haro and M. Dohler, Machine-to-machine (M2M) communications: architecture, performance and applications. Elsevier, 2014.
  • [25] W. W. Piegorsch, Statistical data analytics: foundations for data mining, informatics, and knowledge discovery. John Wiley&Sons, 2016.
  • What will 5G be ?
    vol . 32 , no . 6 , pp . 1065–1082 [2014]
  • Traffic models for machine type communications
    [2013]
  • Timing advance estimation and beamforming of random access response in crowded TDD massive MIMO systems
    vol . 67 , no . 6 , pp . 4004–4019 [2019]
  • The next generation wireless access technologyphysical layer procedures for control
    3GPP TS 38.213 , “ NR
  • Study on 3D channel model for LTE , ” ver . 12.7.0
    [2018]
  • Refined scenarios and requirements ,Consolidated useCases , and qualitative techno-economic feasibility assessment
    [2016]
  • RRC INACTIVEContext ID
    [2018]
  • RAPID :Contention resolution based random access usingContext ID for IoT
    vol . 68 , no . 7 , pp . 7121–7135 [2019]
  • Prioritized random access with dynamic access barring for RAN overload in 3GPP LTE-A networks
    [2011]
  • Performance evaluation framework
    [2016]
  • Performance analysis of the IEEE 802.11 distributed coordination function
    vol . 18 , no . 3 , pp . 535–547 [2000]
  • Performance analysis of power saving mechanism with adjustable DRX cycles in 3GPP LTE ,
  • PRADA : Prioritized random access with dynamic access barring for MTC in 3GPP LTE-A networks
    vol . 63 , no . 5 , pp . 2467–2472 [2014]
  • Overview of positioning ¨ in 5G new radio
    pp . 320–324 . [2019]
  • On 2-step random access procedure
    [2017]
  • NR control plane latency in new RRC state
    [2016]
  • NR 2-step random access procedure
    [2017]
  • Multi-sector and multi-panel performance in 5G mmWave cellular networks
    pp . 1–6 . [2018]
  • Model-agnostic meta-learning for fast adaptation of deep networks
    pp . 1126–1135 . [2017]
  • Millimeter WaveCommunications for Future Mobile Networks
    vol . 35 , no . 9 , pp .
  • Massive machine-type communications
    vol . 31 , no . 6 , pp . 6–7 [2017]
  • Machine type communications in 3GPP networks : potential , challenges , and solutions
    vol . 50 , no . 3 , pp . 178–184 [2012]
  • Low latency random access with TTI Bundling in LTE/LTE-A
  • Low latency random access for small cell toward future cellular networks
    vol . 7 , pp . 178 563–178 576 [2019]
  • Is the Random Access Channel of LTE and LTE-A Suitable for M2M Communications ? A Survey of Alternatives
    vol . 16 , no . 1 , pp . 4–16 [2014]
  • Final report of 3GPP TSG RAN WG1
    # 99 , ” ver . 1.0.0 [2019]
  • Feasibility study on new services and markets technology enablers ; stage 1
    [1420]
  • Feasibility study for further advancements for E-UTRA ( LTEAdvanced )
    [2017]
  • FML : Fast machine ¨ learning for 5G mmWave vehicular communications ,
    pp . 1961–1969 . [2018]
  • Efficient random-access scheme for massive connectivity in 3GPP low-cost machine-type communications
    vol . 66 , no . 7 , pp . 6280–6290 [2017]
  • Efficient LTE access with colli´ sion resolution for massive M2M communications
    [2014]
  • E-UTRA ; radio resourceControl ( RRC ) ; protocol specification
    [2018]
  • E-UTRA ; radio resource control ( RRC ) ; protocol specification
    [1510]
  • E-UTRA ; medium accessControl ( MAC ) protocol specification
    [2020]
  • E-UTRA ; medium access control ( MAC ) protocol specification
    [1560]
  • Deep Learning Coordinated Beamforming for Highly-Mobile Millimeter Wave Systems
    vol . 6 , pp . 37 328–37 348 [2018]
  • D5.3 : WINNER+ final channel models
  • Computing real roots of real polynomials ... and now for real !
    [2016]
  • Cisco visual networking index : Global mobile data traffic forecast update , 2016–2021
    [2017]
  • Analysis of PDCCH performace for M2M traffic in LTE ,
    vol . 63 , no . 9 , pp . 4357–4371 [2014]
  • An online delay efficient packet scheduler for M2M traffic in industrial automation
    [2016]
  • An enhanced random access scheme with spatial group based reusable preamble allocation in cellular M2M networks
    vol . 19 , no . 10 , pp . 1714–1717 [2015]
  • An E2E simulator for 5G NR networks
    vol . 96 , p. 101933 [2019]
  • A novel state model for 5G radio ¨ access networks
  • 5G PoC of SCMA-based uplink grant-free transmission UCNC framework
  • 3GPP Work item description , 2-step RACH for NR
    [2019]
  • 3GPP SA2 architecture and functions for 5G mobile communication system
    vol . 3 , pp . 1–8 [2017]