Performance Evaluation for the Co-Existence of eMBB and URLLC Networks: Synchronized versus Unsynchronized TDD

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)(2019)

引用 4|浏览0
暂无评分
摘要
To ensure the high level of automation required in today's industrial applications, next-generation wireless networks must enable real-time control and automation of dynamic processes with the requirements of extreme low-latency and ultrareliable communications. In this paper, we provide a performance assessment for the co-existence of a macro (eMBB) and a local factory (URLLC) network and evaluate the network conditions under which the latency and reliability requirements of factory automation applications are met. In particular, we evaluate the coexistence of the eMBB and URLLC networks under two scenarios: (i) synchronized TDD, in which both networks follow the same TDD pattern, and (ii) unsynchronized TDD, in which the eMBB and URLLC networks follow different TDD patterns. Simulation results show that the high downlink interference from the macro base stations towards the factory results in a reduction of the downlink URLLC capacity and service availability in case of synchronized TDD and a reduction of the uplink URLLC capacity and service availability in case of unsynchronized TDD. Finally, it is shown that a promising case for co-existence is the adjacent channel allocation, for both synchronized and unsynchronized TDD deployments. Here, the required isolation to protect the URLLC network in the worst-case scenario where the factory is located next to a macro site can be handled via the factory wall penetration loss (e.g., considering high concrete or metal-coated building walls) along with other solutions such as filters, larger separation distance, and band pairing.
更多
查看译文
关键词
TDD pattern,unsynchronized TDD,eMBB network,URLLC network,service availability,synchronized TDD,next-generation wireless networks,real-time control,local factory network,reliability requirements,factory automation applications,TDD patterns,downlink URLLC capacity,adjacent channel allocation,factory wall penetration loss,metal-coated building walls
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要