Search Results - "Na, JeeHyeon"

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  1. 1

    Judgement-Based Deep Q-Learning Framework for Interference Management in Small Cell Networks by Yoon, Pildo, Cho, Yunhee, Na, Jeehyeon, Kwak, Jeongho

    Published in IEEE access (2024)
    “…Small cell technology for future 6G networks allows network operators to increase network capacity by reducing the distance between Base Stations (BSs) and…”
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    Journal Article
  2. 2

    Distributed DQN-based network-wide energy efficiency maximization for 5G NR-U and Wi-Fi coexistence environments by Lee, Junseung, Lim, Seung-Chan, Kim, Hyungsub, Na, JeeHyeon, Lee, Howon

    Published in ICT express (01-08-2024)
    “…To effectively manage the escalating traffic, attention is drawn to the coexistence mechanism of cellular and Wi-Fi networks which offload the cellular traffic…”
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    Journal Article
  3. 3

    Optimal Resource Allocation Considering Non-Uniform Spatial Traffic Distribution in Ultra-Dense Networks: A Multi-Agent Reinforcement Learning Approach by Kim, Eunjin, Choi, Hyun-Ho, Kim, Hyungsub, Na, Jeehyeon, Lee, Howon

    Published in IEEE access (2022)
    “…Recently, the demand for small cell base stations (SBSs) has been exploding to accommodate the explosive increase in mobile data traffic. In ultra-dense small…”
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    Journal Article
  4. 4

    ULTIMA: Ultimate Balance of Centralized and Distributed Benefits for Interference Management in 5G Cellular Networks by Yoon, Pildo, Hong, Joonpyo, Ahn, Suyoung, Cho, Yunhee, Na, Jeehyeon, Kwak, Jeongho

    Published in IEEE access (01-01-2023)
    “…To cope with unprecedented mobile traffic explosion, various state-of-the-art wireless technologies such as small cell, mmWave, and heterogeneous networks have…”
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    Journal Article
  5. 5

    Practical Load Balancing Algorithm for 5G Small Cell Networks Based on Real-World 5G Traffic and O-RAN Architecture by Cho, Young-Jun, Yoo, Hyeon-Min, Kim, Kyung-Sook, Na, Jeehyeon, Hong, Een-Kee

    Published in IEEE access (2024)
    “…In the 5G network, small cells play a key role in enhancing network capacity and providing ultra-fast, low-latency data services. The traffic load per small…”
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    Journal Article
  6. 6

    Three Steps Toward Low-Complexity: Practical Interference Management in NOMA-Based mmWave Networks by Hong, Joonpyo, Yoon, Pildo, Ahn, Suyoung, Cho, Yunhee, Kwak, Jeongho

    Published in IEEE access (2022)
    “…Beamforming, user scheduling and transmit power on existing interference management schemes in multi-cell mmWave networks have been independently controlled…”
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    Journal Article
  7. 7

    User Association and Load Balancing based on Monte Carlo Tree Search by Yoo, Hyeon-Min, Moon, Jung-Mo, Na, Jeehyeon, Hong, Een-Kee

    Published in IEEE access (01-01-2023)
    “…The user association algorithm for 5G ultra-dense heterogeneous networks (UD-HetNets) comprising multi-tier base stations is becoming increasingly complex. In…”
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    Journal Article
  8. 8

    Multi-agent Q-learning based cell breathing considering SBS collaboration for maximizing energy efficiency in B5G heterogeneous networks by Lee, Howon, Kim, Eunjin, Kim, Hyungsub, Choi, Hyun-Ho

    Published in ICT express (01-12-2022)
    “…In B5G heterogeneous cellular networks, a rapid increase in the number of small cell base stations (SBSs) to support a massive number of devices tends to waste…”
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    Journal Article
  9. 9

    Low-Complexity Q-Learning for Energy-Aware Small-Cell Networks With Integrated Access and Backhaul by Lee, Junseung, Choi, Hyun-Ho, Lim, Seung-Chan, Kim, Hyungsub, Na, Jeehyeon, Lee, Howon

    Published in IEEE access (2023)
    “…An integrated access and backhaul (IAB)-enabled small-cell network commonly utilizes frequency channels for access and backhaul links, and thus this network…”
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    Journal Article
  10. 10

    User performance impacts by mobility load balancing enhancement for self-organizing network over LTE system by Sangchul Oh, Hongsoog Kim, Jeehyeon Na, Yeongjin Kim

    “…Mobility load balancing (MLB) is a function where cells suffering from overload forward their load to other cells, which perform early handover for load…”
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    Conference Proceeding
  11. 11

    Soft Non-Orthogonal Multiple Access-Based Handover for Throughput Enhancement by Choi, Hyun-Ho, Kim, Hyungsub, Na, JeeHyeon, Lee, Howon

    Published in IEEE transactions on vehicular technology (01-09-2022)
    “…Non-orthogonal multiple access (NOMA) has been extensively investigated to improve the performance of wireless networks, but discussion on how to apply it…”
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    Journal Article
  12. 12

    Non-Orthogonal Multiple Access-Based Handover for Throughput Enhancement by Choi, Hyun-Ho, Kim, Hyungsub, Na, JeeHyeon, Lee, Howon

    Published in IEEE transactions on vehicular technology (01-11-2021)
    “…As non-orthogonal multiple access (NOMA) technology is considered as a new multiple access scheme in cellular networks, a new handover decision algorithm and…”
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    Journal Article
  13. 13

    Machine Learning-Based Vision-Aided Beam Selection for mmWave Multiuser MISO System by Ahn, Hyemin, Orikumhi, Igbafe, Kang, Jeongwan, Park, Hyunwoo, Jwa, Hyekyung, Na, Jeehyeon, Kim, Sunwoo

    Published in IEEE wireless communications letters (01-06-2022)
    “…In this letter, we propose a machine learning-based vision-aided beam selection (ML-VBS) for millimeter-wave indoor multi-user communications. The proposed…”
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    Journal Article
  14. 14
  15. 15

    Three Steps Towards Low-Complexity: Practical Interference Management in NOMA-based mmWave Networks by Hong, Joonpyo, Yoon, Pildo, Ahn, Suyoung, Cho, Yunhee, Na, Jeehyeon, Kwak, Jeongho

    Published in IEEE access (06-12-2022)
    “…Beamforming, user scheduling and transmit power on existing interference management schemes in multi-cell mmWave networks have been independently controlled…”
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    Journal Article
  16. 16

    RIS-Enabled Robust Signal Focusing and Nulling Against Angular Mismatch by Chung, Hyeonjin, Ahn, Hyemin, Jwa, Hyekyung, Na, Jeehyeon, Kim, Sunwoo

    Published in 2022 IEEE Globecom Workshops (GC Wkshps) (04-12-2022)
    “…In this paper, we propose a reconfigurable intelligent surface (RIS)-enabled signal focusing and nulling that is robust against angular mismatch. To our best…”
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    Conference Proceeding
  17. 17

    Fast Beamforming Strategy: Learning the AoD of the Dominant Path by Song, Yongmin, Kang, Jeongwan, Kim, Sunwoo, Jwa, Hyekyung, Na, Jeehyeon

    “…Small cell networks and directional beamforming have been regarded as the solutions to achieve high data rates and compensate for the high path loss in the…”
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    Conference Proceeding
  18. 18

    A Novel Routing Path Discovery and Data Delivery Scheme for Ubiquitous Internet Connectivity Based on Hierarchical Mobile AODV6 Networks by Jee Hyeon Na, Yun Won Chung, Jaewook Shin, Sangho Lee, Sang-ha Kim

    “…Recently, Internet connectivity in mobile ad hoc network (MANET) has been studied extensively in order to support ubiquitous Internet services to MANET users…”
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    Conference Proceeding
  19. 19

    Gateway discovery and routing in ad hoc networks with NAT-based Internet connectivity by Jaewook Shin, Haeryong Lee, Jeehyeon Na, Park, A., Kim, S.

    “…The paper presents gateway discovery and routing schemes for ad hoc networks with NAT-based Internet connectivity. To maintain a reachable gateway set (RGS)…”
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    Conference Proceeding
  20. 20

    Mobile IP support in ad hoc networks with wireless backbone by Jaewook Shin, Jechyeon Na, Haeryong Lee, Park, A., Sangha Kim

    “…We propose new agent discovery and route discovery schemes to support Mobile IP (MIP) in ad hoc networks with a wireless backbone. The wireless backbone,…”
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    Conference Proceeding