The high data traffic requirements of the new generation 5G networks will be satisfied with effective and efficient mobility and handover management. However, dense or ultra-dense small cell (eNB) placements in 5G networks may lead to some problems, such as latency, handover failures, frequent handover, ping-pong effect, etc. In this study, we proposed an Entropy-based simple additive weighting decision-making method for multi-criteria handover in software-defined networking (SDN) based 5G small cells for the solution of the aforementioned problems. This method provides the connection of the mobile node to the most suitable eNB using bandwidth, user density and SINR parameters. The proposed handover method is compared with conventional LTE handover and distributed approach in terms of delay, block ratio, handover failure and throughput according to the varying number of mobile users. The scalability of handovers for both approaches according to the user number are also analysed. According to the simulation results, the proposed approach achieved 15%, 48% and 22% improvement in handover delay, blocking probability and throughput, respectively, compared to the conventional LTE handover.

高效，高效的移动性和切换管理将满足新一代5G网络对数据流量的高要求。但是，在5G网络中密集或超密集的小型小区（eNB）放置可能会导致一些问题，例如延迟，切换失败，频繁切换，乒乓效应等。在这项研究中，我们提出了一种基于熵的简单方法解决上述问题的基于软件定义网络（SDN）的5G小小区中多准则切换的加法加权决策方法。该方法使用带宽，用户密度和SINR参数将移动节点连接到最合适的eNB。提出的切换方法与传统的LTE切换和分布式方法在延迟，块比，切换失败和吞吐量根据移动用户数量的变化而变化。还分析了两种方法根据用户数量切换的可扩展性。根据仿真结果，与传统的LTE切换相比，该方法在切换延迟，阻塞概率和吞吐量方面分别提高了15％，48％和22％。