We characterize a multi-tier wireless network consisting of multi radio access technology (RAT) small cells, operating in both sub-6GHz and millimeter wave (mm-wave) bands, overlaid on top of traditional macro cells. To realistically characterize the user equipment (UE) performance, we model the position of the small cells along roads. First, we provide tractable, yet realistic models to characterize the mm-wave interference and the effect of vehicular blockages on the mm-wave signals. Then, we introduce an association policy, where a UE selects the serving tier using the powers measured on the sub-6GHz band, and then, using the biased power of the mm-wave band, selects the RAT. Based on this, we derive the signal to interference plus noise...
Due to the coexistence of different Radio Access Technologies (RATs), Next Generation Wireless Netwo...
The increased penetration of different radio access technologies (RATs) and the growing trend toward...
In this paper, we present a machine learning algorithm for effective RAT selection in 5G networks by...
We characterize a multi-tier wireless network consisting of multi radio access technology (RAT) smal...
International audience<p>We characterize a two tier heterogeneous network, consisting of classical s...
Future wireless applications anticipate an explosion in the plethora of use-cases and services, whic...
The quantum increase in the number of mobile subscribers which resulted into an exponential growth o...
The benefits of jointly managing the combined set of radio resources offered by heterogeneous networ...
Due to the coexistence of different Radio Access Technologies (RATs), Next Generation Wireless Netwo...
Next generation 5G cellular networks will consist of multiple technologies for devices to access the...
The future mobile network will be a heterogeneous system, which integrates different Radio Access Te...
Today, one of the emerging trends for the next generation (5G) networks is utilizing higher frequenc...
We study the feasibility of the dense 4G and 5G cellular networks at sub-6 GHz and millimeter wave c...
Wireless networks have witnessed a great success recently. The number of users along with the traffi...
We study the feasibility of the dense 4G and 5G cellular networks at sub-6 GHz and millimeter wave c...
Due to the coexistence of different Radio Access Technologies (RATs), Next Generation Wireless Netwo...
The increased penetration of different radio access technologies (RATs) and the growing trend toward...
In this paper, we present a machine learning algorithm for effective RAT selection in 5G networks by...
We characterize a multi-tier wireless network consisting of multi radio access technology (RAT) smal...
International audience<p>We characterize a two tier heterogeneous network, consisting of classical s...
Future wireless applications anticipate an explosion in the plethora of use-cases and services, whic...
The quantum increase in the number of mobile subscribers which resulted into an exponential growth o...
The benefits of jointly managing the combined set of radio resources offered by heterogeneous networ...
Due to the coexistence of different Radio Access Technologies (RATs), Next Generation Wireless Netwo...
Next generation 5G cellular networks will consist of multiple technologies for devices to access the...
The future mobile network will be a heterogeneous system, which integrates different Radio Access Te...
Today, one of the emerging trends for the next generation (5G) networks is utilizing higher frequenc...
We study the feasibility of the dense 4G and 5G cellular networks at sub-6 GHz and millimeter wave c...
Wireless networks have witnessed a great success recently. The number of users along with the traffi...
We study the feasibility of the dense 4G and 5G cellular networks at sub-6 GHz and millimeter wave c...
Due to the coexistence of different Radio Access Technologies (RATs), Next Generation Wireless Netwo...
The increased penetration of different radio access technologies (RATs) and the growing trend toward...
In this paper, we present a machine learning algorithm for effective RAT selection in 5G networks by...