Optimal Resource Allocation for LTE Uplink Scheduling in Smart Grid Communications

Jian Li
2013 International Journal of Wireless Communications and Mobile Computing  
Optimal Resource Allocation for LTE Uplink Scheduling in Smart Grid Communications The success of the smart grid greatly depends on the advanced communication architectures. An advanced smart grid network should satisfy the future demands of the electric systems in terms of reliability and latency. The latest 4th-generation (4G) wireless technology, Long Term Evolution (LTE), is a promising choice for smart grid wide area networks, due to its higher data rates, lower latency and larger
more » ... However, LTE is not a dedicated technology invented for smart grid, and it does not provide Quality of Service (QoS) guarantee to the smart grid applications. In this thesis, we propose an optimal LTE uplink scheduling scheme to provide scheduling time guarantee at the LTE base station for different class of traffic, with a minimal number of total resource blocks. A lightweight heuristic algorithm is proposed to obtain the optimal allocation of resource blocks for each class of traffic. The simulation results demonstrate that the proposed optimal scheduling scheme can use less resource blocks to satisfy the scheduling time requirements, compared to the two existing scheduling schemes (the Large-Metric-First scheduling scheme and the iv Guaranteed Bit Rate (GBR)/Non-GBR scheduling scheme). As the multi-cell network system, the network performance of LTE may be still deteriorated by load imbalance. The unbalanced load among multiple cells leads to higher delay and higher packet drop rate in the higher-loaded cell, or an underutilization of resources in the lower-loaded cell. In order to solve this problem, a LTE load balancing algorithm is proposed aiming at finding the optimal handover operations between the overloaded cell and possible target cells. The simulation results show that the proposed load balancing algorithm can relieve network resources overload and increase the network bandwidth efficiency. v Acknowledgement I would like to take the opportunity to express my gratitude to my supervisor, Dr. Yifeng He and Prof. Ling Guan for their tremendous guidance and kind supports throughout the duration of my graduate studies.
doi:10.11648/j.wcmc.20130104.15 fatcat:4ywrwftgxbeszmstoraouqrnmq