An Analytical Model to Quantify the Effect of Handover and Cell Density on SINR in Emerging Cellular Networks
CCNC(2023)
摘要
Existing SINR models are based on best server associations, which represent a network dominated by static users. During the handover (HO), users are not camped on the best-server, resulting in negative SINR. This is important because the emerging networks are likely to have a much higher HO rate due to higher base station density and an increased proportion of mobile devices. We derive a model that characterizes spatio-temporal downlink SINR as a function of BS density, user velocity, and HO delay duration.
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关键词
analytical model,BS density,cell density,cellular networks,handover,higher base station density,higher HO rate,HO delay duration,mobile devices,negative SINR,server associations,SINR models,spatio-temporal downlink SINR,static users,user velocity
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