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Assessment of Open Ran: Difference between revisions
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== When Will Open Ran Attain Maturity? == | == When Will Open Ran Attain Maturity? == | ||
[[File:Forecasted revenue for Open Ran and Traditional Ran.png|thumb|372x372px|https://www2.deloitte.com/content/dam/Deloitte/pt/Documents/technology-media-telecommunications/TEE/The-Open-Future-of-Radio-Access-Networks.pdf]] | [[File:Forecasted revenue for Open Ran and Traditional Ran.png|thumb|372x372px|https://www2.deloitte.com/content/dam/Deloitte/pt/Documents/technology-media-telecommunications/TEE/The-Open-Future-of-Radio-Access-Networks.pdf]] | ||
Open Ran is swiftly advancing towards Multiple-Input Multiple-Output (MIMO) model. The highest level it has attained so far is the macro model<ref name=":4" />. Deloitte estimates that Open Ran will reach maturity in 3-5 years, with the revenue of public networks that deploy it coming at par with the revenue of traditional networks in 2028<ref>https://www2.deloitte.com/content/dam/Deloitte/pt/Documents/technology-media-telecommunications/TEE/The-Open-Future-of-Radio-Access-Networks.pdf<nowiki/>page.7</ref>. According to the forecast, Open RAN revenue will be around 12% of the total RAN revenue in 2022. Besides the desire by operators to reap the benefits of Open RAN, the current political environment favours it as it will help them to stay away from Chinese network vendors such as Huawei<ref name=":2" />. For instance, the US government has passed a bill to inject funding amounting to $750 million in the next ten years to support Open RAN deployments. Other governments, such as Japan, the UK, Germany, and India, have come up with similar support. | Open Ran is swiftly advancing towards Multiple-Input Multiple-Output (MIMO) model. The highest level it has attained so far is the macro model<ref name=":4" />. Deloitte estimates that Open Ran will reach maturity in 3-5 years, with the revenue of public networks that deploy it coming at par with the revenue of traditional networks in 2028<ref>https://www2.deloitte.com/content/dam/Deloitte/pt/Documents/technology-media-telecommunications/TEE/The-Open-Future-of-Radio-Access-Networks.pdf<nowiki/>page.7</ref>. According to the forecast, Open RAN revenue will be around 12% of the total RAN revenue in 2022. Besides the desire by operators to reap the benefits of Open RAN, the current political environment favours it as it will help them to stay away from Chinese network vendors such as Huawei<ref name=":2" />. For instance, the US government has passed a bill to inject funding amounting to $750 million in the next ten years to support Open RAN deployments. Other governments, such as Japan, the UK, Germany, and India, have come up with similar support. | ||
== Greenfield verses Brownfield Deployments == | |||
Greenfield Open RAN deployment refers to the installation and configuration of an entirely new network. That is, the operator is starting from scratch. On the other hand, a brownfield deployment is a scenario where the operator integrates Open RAN with existing networks. Unlike the greenfield operator which has only 4G and 5G networks, brownfield operators would have legacy 2G, 3G and sometimes 4G networks. This legacy networks need to be integrated with the Open RAN architecture in order to achieve the long term gains of the new network. Therefore, in contrast to the greenfield operator, the brownfield network provider is not immune to Open RAN integration challenges. The most prominent greenfield operators in the world are Rakuten and Dish. | |||
== Open Ran Deployments at Scale == | == Open Ran Deployments at Scale == | ||