Cross layer scheduling algorithm with advanced QoS support for 4G LTE systems

In mobile wireless communications, high quality of service (QoS) and large bandwidth are recently required to support the increased demand for multimedia services. The UMTS Long Term Evolution (LTE) is one of the promising solutions for the next generation broadband wireless access systems. In order to support high data rate with low latency, LTE simpli es network architecture and uses orthogonal frequency division multiple access (OFDMA) for downlink transmission technology. LTE system performance largely depends on the high e ciency of frequency domain resource scheduling. This thesis presents a LTE downlink cross-layer scheduling algorithm based on 3GPP-LTE standard Release 9, called Smalloc (SMart ALLOCation), with an advanced QoS support for the two main users' category of service: GBR (Guaranteed Bit Rate) and non-GBR. A complete LTE system level simulator has been developed in order to test the performance of the proposed solution. Data and control messages exchanged between MAC and PHY layer are de ned accordingly to Femto Forum Api Interface as Smalloc algorithm will be hopefully integrated in the LTE Small Cell Base Station (ngSCBP) protocol stack developed by Azcom Technology R&D team. Complete simulations are provided to check achievable bit rate and execution time of the proposed algorithm compared to Optimum technique, an enumerative approach and other classic scheduling algorithms like Round Robin, Proportional Fair and Throughput Maximization. Results have shown that Smalloc returns a signi cant enhancement in the supported bit rate, QoS satisfaction and higher fairness among the selected users compared to the other algorithms.