Resource allocation for real-time multimedia applications in LTE's two-level scheduling framework

Long-Term Evolution (LTE) was brought in to fulfill the Quality of Service (QoS) demands and needs of users. Existing buffering technique do not have QoS factors and does not support live feed streaming. There are various solutions for problems in the downlink packet scheduling, but there is still room to have a higher QoS to provide greater satisfaction to users. A better user experience requires real-time applications to have minimal amount of delay. Thus, three novel schemes, that regards real-time applications, are proposed and developed. The performances of our proposed algorithms are compared with the latest two-level scheduling algorithm, Frame Level Scheduler and Maximum Throughput (FLS-MT). Our proposed frameworks, 1) FLS and Enhanced Exponential with MT (FE2M) downlink scheduler,2) FE2M and Exaggerated Earliest Dateline First (E2DF) with MT as weight and best effort packets using the basic MT rule (FE2E2M_I), and 3) FE2M and E2DF with MT as weight and best effort packets using the Proportional Fairness (PF) rule (FE2E2M_II), have exploited innovative approaches based on packet delay at the lower level. The upper level of the scheduling algorithm remains as it is based on discrete-time linear control. A comparative study of recent existing scheduling strategies implemented in LTE are presented. Based on extensive experimental tests, the results generated clearly show that the simulation results of our proposed lower-level scheduling frameworks, FE2M, FE2E2M_I, and FE2E2M_II, outperform the existing two-level scheduling algorithm in terms of throughput, delay, spectral efficiency, and packet loss rate for real-time multimedia applications