An approach for intelligent spectrum allocating for multi-RATs networks
Yizhe Li, Zhonghao Zhang, Fuchang Li, Yi Feng, Lijun Chen · 2017
The explosive growth in data traffic is resulting in a spectrum crunch forcing many wireless network operators to look forward refarming their 2G Global System (GSM) and 3G Universal Mobile Telecommunications System (UMTS) spectrum and deploy more spectrally efficient Long Term Evolution (LTE). However, mobile network operators face a challenge when it comes to spectrum refarming because 2G or 3G technologies are still widely used for voice services. And 2G and 3G equipment have long life cycles, e.g. smart meters, and it is expensive to migrate these devices to newer technology since a truck roll will typically be required to the site where a device is deployed. Nevertheless, operators are keen to either force their 2G or 3G customers to migrate so that they can refarm the spectrum or set aside a portion of the 2G or 3G spectrum for continuing operating 2G or 3G and only refarm the rest for LTE. Due to this requirement, future wireless networks should be able to dynamically allocate resources to maintain the quality of service and promote the efficient use of radio spectrum. In this paper, we propose a new intelligent method for allocating spectrum between radio access technologies (RATs) such as GSM, UMTS and LTE. We designed a dynamic spectrum allocation scheme to increase the capacity of high traffic volume RAT without hurt other RATs' performance as well as maximize the spectrum efficiency of the whole network.