Challenges of Deploying Networks in Stadiums

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When mobile services are deployed at sports venues, the complexity of the task increases due to several factors. Firstly, the density of user connections here is significantly higher than in office spaces or even shopping malls: about 60 people are usually accommodated per 10 sq. m. Therefore, special coverage organization is required so that access points and subscribers do not interfere with each other, and the network bandwidth for each spectator is maximum. You cannot do without a high-quality radio survey: this is the only way to determine the required number of access points, their location, select suitable antennas, optimal radiation power and evaluate the range in practice. All this allows you to design the network in such a way as to reduce the impact of interference and use the radio frequency resource as efficiently as possible.

Secondly, this is, of course, the “pulsating” nature of traffic consumption: its main volume is “pumped” during competitions or matches, and during these relatively short periods, record-breaking volumes of data are transmitted over the network.

For example, in December 2016, the largest indoor latvia whatsapp data in Northern Ireland, the SEE Arena in Belfast, had a total traffic volume of 1.051 TB, and by January 2017, this figure had increased to 1.315 TB. On average, the monthly traffic volume there increased from 41 to 47 MB ​​per user. And all indications are that this growth trend will continue.

Thirdly, for stable operation of a Wi-Fi network at such sites with a large crowd of people, it is necessary to use all 20 permitted radio channels, using both frequency ranges - 2.4 and 5 GHz. In conditions of high density of access points, it becomes necessary for them to use the same channels multiple times. In practice, this often leads to increased interference and mutual blocking of data transmission by devices. Therefore, a particularly important factor when choosing a solution provider is the availability of recommendations for designing high-density networks, which are based on the experience of successfully implementing projects of this class.