Scholarlink

Dual connectivity (DC) allows mobile users to connect to two base stations (BSs) simultaneously, increasing data rates and improving connection stability. However, DC requires careful resource management to balance quality of service (QoS), especially in uplink-heavy services where mobile device power can be a limitation. This work focuses on DC scheduling in multi-RAT heterogeneous networks (HetNets), determining suitable connection modes and targets for mobile users to boost network capacity. We model it as an integer nonlinear programming (INLP) problem and propose a solution based on triple optimal matching and spectral clustering for a near-optimal result. Simulations show this method improves individual user data rates without significantly affecting overall system throughput.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Dual Connectivity User Association in 5G Mobile Asymmetric Multi-RAT Heterogeneous Networks

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Miao Dai,
  • Gang Sun,
  • Jian Sun,
  • Hongfang Yu

摘要

Dual connectivity (DC) allows mobile users to connect to two base stations (BSs) simultaneously, increasing data rates and improving connection stability. However, DC requires careful resource management to balance quality of service (QoS), especially in uplink-heavy services where mobile device power can be a limitation. This work focuses on DC scheduling in multi-RAT heterogeneous networks (HetNets), determining suitable connection modes and targets for mobile users to boost network capacity. We model it as an integer nonlinear programming (INLP) problem and propose a solution based on triple optimal matching and spectral clustering for a near-optimal result. Simulations show this method improves individual user data rates without significantly affecting overall system throughput.