Development of a learning-based framework for traffic estimation and admission control in two-way radio communication systems

双向无线电通信的需求急剧增加，预计这一增长趋势将继续下去。我们这个项目的行业合作伙伴Tridon Communications运营着双向无线电通信网络，目前它面临着优化不同站点的无线电频道数量的挑战，以便在有效利用给定的无线电频道总数的同时最大限度地提高客户的满意度。此外，它缺乏可靠的方法来以经济高效的方式制定网络规模和扩展网络基础设施的决策。该提议是为Tridon的双向无线电通信系统开发一种基于学习的流量估计和准入控制方法。该方法将作为一套算法和/或软件模块提供给Tridon，Tridon将使用它来优化其网络性能，方法是有效地利用无线电信道并控制用户进入网络，同时满足他们的通信性能要求。此外，该方法还将用于当前部署的系统的网络规模和扩展。该项目将有利于这家加拿大公司以具有竞争力的价格提供双向无线电通信服务，并使客户满意。

The demand for two-way radio communication has increased dramatically and this growth trend is expected tocontinue. Our industry partner for this project, Tridon Communications, operates a two-way radiocommunications network and currently it faces the challenge of optimizing the number of radio channels at thedifferent sites in order to maximize the satisfaction of its customers while efficiently utilizing the given totalnumber of radio channels. Also, it lacks a solid methodology to make decisions on network dimensioning andextending the network infrastructure in a cost-effective manner. The proposal is to develop a learning-basedmethod for traffic estimation and admission control for Tridon's two-way radio communication system. Thismethod, which will be delivered to Tridon as a set of algorithms and/or software modules, will be used byTridon to optimize its network performance by efficiently utilizing the radio channels and controllingadmission of the users into the network while satisfying their communication performance requirements. Also,the method will be used for network dimensioning and expansion of the currently deployed system. The projectwill benefit this Canadian Company to offer two-way radio communication services in a competitive price withcustomers' satisfaction.