5G Wireless Technology is the next step for mobile networks and an evolution from the current 4G LTE networks. 5G Wireless Technology should provide the necessary market requirements such as higher data consumption, multigigabit speeds and more connected devices. 5G will also provide more bandwidth and advanced antenna technology which will result in much more data transmitted over wireless systems. Unlike 4G, which requires large, high-power cell towers to radiate signals over longer distances, 5G wireless signals can be transmitted via large numbers of small cell stations. This is related to the use of mmWaves, which use radio frequencies in the electromagnetic spectrum from 30 to 300 GHz. With a larger bandwidth implemented by mmWave, we are able to cover a larger number of devices. However, each device has different requirements for speed, bandwidth or latency. To provide various network management, 5G features technology Network Slicing. With Network Slicing mobile operators will be able to create multiple virtual networks using a single physical 5G network and ensure thusly these different requirements.
We are focused on research in the field of methods leading to the achievement of optimal quantitative parameters for individual types of data traffic in communication networks. In the field of mobile networks, it is research related to a technique called 5G network slicing, which is related to network virtualization, dynamic adjustment of network configuration and allocation of available resources based on current requirements of a particular service. For 5G technology, this is an integral part, without we would not be able to achieve such results.
6G and beyond modeling
The 5G and upcoming 6G communication technologies are offering unprecedented network capabilities such as ultra-high throughput, minimal delay, and ubiquitous availability. To be able to deliver such parameters, various parts of the whole communication infrastructure have to be adjusted. The most important one is the physical radio channel which needs to be optimized to ideally utilize the available spectra. In this research area, we are focusing on the recently utilized mmWave part of the spectra, which offers multi-gigabit transfer speeds while maintaining acceptable rate of interference. More precisely, our team focuses on the Body Area Network mmWave communication, which is one of the most promising enablers for both Augmented and Virtual reality scenarios, as well as the smart cities, indoor coverage and local (femtocell) data offloading.
Following the idea of BAN mmWave communication principles, we have created a basic model for indoor off-body propagation channel based on the Friis free space pathloss formula that is further enhanced by the statistical models. This enables users to easily adjust the model parameters to fit it to a specific scenario. If the preferred solution is to utilize the model only for a quick estimation, the simplified log-distance model derived from our proposed one can be exploited.
- Analytical solution of methods leading to the achievement of optimal qualitative parameters.
- Simulating and implementing methods in simulation environment such as NS-3.