Abstract
Dual connectivity has been regarded as an effective mechanism for mobility management to reduce the handover latency and improve transmission reliability. In this article, we investigate a dual connectivity-aided proactive mobility management scheme for mobile users requesting realtime service with minimum data rate requirements. The proactive mobility management consists of a predictive resource reservation scheme and a proactive handover scheme. The predictive resource reservation scheme is optimized to improve the network throughput or user fairness with the predicted average channel gains and the predicted set of connected base stations for each user. The proactive handover scheme aims to avoid frequent and delayed handovers, and reduce the computational complexity by partitioning cell-center and cell-edge users and choosing different numbers of connected base stations for the two types of users. Simulation results show that the proposed scheme outperforms reactive counterparts, which can effectively reduce service outages meanwhile support higher network throughput when the traffic load is heavy, or improve user fairness meanwhile cause less service outages when the traffic load is light.
Highlights
M OBILITY management plays an important role in improving the continuity, reliability and quality of services for mobile users [1]
In [18], the future average channel gains were used for energy-efficient resource allocation with ensured quality of service (QoS) of mobile users requesting hybrid realtime and non-realtime services
We investigate a proactive mobility management scheme, including both the predictive resource reservation and the proactive handover, with the aid of the dual connectivity mechanism for mobile users requesting realtime service in cellular networks
Summary
M OBILITY management plays an important role in improving the continuity, reliability and quality of services for mobile users [1]. A support vector machine-based proactive handover method was proposed in [15] to decrease the number of service interruptions and the impact of pingpong effect in Long-Term Evolution networks. All these works focus on reducing unnecessary handovers or handover latency without considering the data rate requirements. In [18], the future average channel gains were used for energy-efficient resource allocation with ensured QoS of mobile users requesting hybrid realtime and non-realtime services. The aforementioned works about proactive handover and predictive resource allocation only consider single connectivity Extending these methods into dual-connectivity cases brings new challenges. Notations: |x| denotes the absolute value of x, |X | denotes the cardinality of a set X , x denotes the norm of a vector x, X \x denotes the set of elements in X except x, and (·)H denotes the conjugate transpose
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