| Ultra-dense network deployment is an indispensable key technology in 5G system,which enables more wireless resources in the system to be allocated to UEs,and provides a broader application space for multi-connectivity.In multi-connectivity scenarios,collaborative services over multiple links can result in additional gains such as increased robustness,improved SINR by interference coordination,and lower bit error rate.In addition,multi-connectivity technology enables data aggregation across multi-RAT such as 4G LTE,5G,and WiFi,allowing greater flexibility in the UE's choice of data routing.As an emerging technology,multi-connectivity is still not thoroughly researched.Many aspects of the design are still not complete.There are still many technical aspects that need improvement and algorithmic strategies that need to be optimized.This dissertation takes this as an entry point,designs,optimizes and improves the key modules of multi?connectivity technology that have not been designed at the beginning,and the key technologies of multi-connectivity that affect the overall system performance.This dissertation designs and realizes the base station selection strategy of multi-connection access and handover process,proposes a self-adaptive dynamic cooperation base station cluster selection strategy to maximize the use of ultra-dense deployment of redundant wireless resources,and to minimize the additional burden on the system.A flow control algorithm applied to multi-connection data anchor is proposed.It achieves load balancing for traffic offloading with lower computational complexity and smaller signaling overhead,and is able to resist the delay caused by the non-ideal fronthaul.Based on the 5G low-latency scenario,the transmission delay gain of the traditional data duplication transmission scheme is evaluated.On the basis of this,the improved data duplication based on the traditional data duplication is designed,and the data transmission delay is further reduced on the previous basis. |
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