Performance Analysis of Service Based Scheduler in LTE OFDMA System
Long Term Evolution (LTE) is the wireless broadband technology developed by Third Generation Partnership Project (3GPP) to support higher data rate. Resource scheduling in LTE plays an important role in deciding the overall network performance. In this paper, a new scheduling approach called Service Based Scheduler (SBS) is proposed that is suitable for real time services. In this method, two tag values called maximum tag value (T max ) and minimum tag value (T min ) are estimated for the packets based on the type of bearers. T max is calculated for Guaranteed Bit Rate (GBR) bearers and T min is calculated for non GBR bearers. Then, separate ascending sorted lists are formed for T max and T min . The packets from the T max list are allocated first in spite of users channel condition. After the allocation of packets from T max list, if the current Transmit Time Interval (TTI) has more resources, then packets from T min list are allocated strictly based on users channel conditions. The proposed scheduling approach provides better performance for real time services compared to other schemes like Proportional Fairness (PF), Modified Largest Weighted Delay First (MLWDF), Exponential rule (EXP rule) and Logarithmic rule (LOG rule).
scheduling lte tag values resource allocation