Scheduling algorithm for the LTE downlink with F-OFDM using adaptive multifractal envelope process and minimum service curve

In this work, first we propose an adaptive algorithm to estimate the parameters of a multifractal model in the wavelet domain to describe network traffic flows. Further, we propose an envelope process for network traffic flows based on the adaptive estimation of the modeling parameters in order to guarantee quality of service (QoS) in LTE (Long Term Evolution) networks. The proposed envelope process is compared to the main traffic model based envelope processes known in the literature. In LTE networks, Adaptive Modulation and Coding (AMC) technique is used for adjusting the modulation order and code rate based on the user channel state information in order to achieve a Block Error Rate (BLER) lower than 10%. In this work, we investigate the use of F-OFDM multi-carrier modulation, which is one of the candidates for 5 G networks. To this end, simulations of the LTE downlink are carried out using OFDM (Orthogonal Frequency-Division Multiplexing) and F-OFDM (Filtered Orthogonal Frequency-Division Multiplexing) multi-carrier modulation with the objective of mapping the BLER as a function of SNR (Signal-to-Noise Ratio). We also propose an algorithm for allocating resources in the LTE downlink that makes use of the proposed multifractal modeling based adaptive envelope process. The proposed scheduling algorithm aims to improve some network parameters while guaranteeing a maximum delay to the user by considering the following information: backlog, channel condition and user traffic behavior. In order to estimate the maximum network delay, we propose an adaptive minimum service curve for the LTE network that can be used for admission control purposes. The performance of the proposed scheduling algorithm is compared to those of several scheduling schemes known in the literature through computational simulations of the LTE downlink.