Improved Downlink Scheduler For Overloaded 5g Networks
Abstract
The 5G is designed to be ultra-dense network. Various services are connected to the same network. Mainly, the enhanced Mobile Broad Band
(eMBB), Ultra Reliable Low Latency Communication (URLLC) and Massive Machine Type Communications (mMTC) coexist in a hybrid 5G network. This
coexistence, in addition to the constraints at the physical layer, mainly the format of the packets, introduces a fundamental challenge concerning the
radio resource allocation. In the present proposal, we design a smart downlink scheduler which aims to satisfy the variety of services connected to the
5G. The scheduler aims to overcome the challenge of the variance of the wireless channel in addition to the use of fixed budget delays. The main target
of the proposal is to increase the capacity of the communication network with quality of service guarantee. The scheduler has been simulated and
proved its efficiency by comparison with schedulers from the literature.