Abstract
In this letter, we study adaptive user-centric resource scheduling management for dual-connectivity (DC) heterogeneous networks with different numbers of user terminals (UTs) and different quality-of-service (QoS) requirements. We present a general framework for adaptively selecting the connection mode between UTs and base stations (BSs) to maximize energy efficiency. Based on this framework, we propose a user-centric resource scheduling algorithm to further increase network capacity, including traffic offloading among heterogeneous access technologies and available resource allocation, which results in less traffic congestion and better QoS of UTs. Simulation results demonstrate that our proposed algorithm can significantly improve energy efficiency and throughput over state-of-the-art schemes.
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