Абстрактный

Downlink Resource Allocation for Next Generation Wireless Network Using Turbo Codes over Non-Linear Channel

Keerthana.D, G.Vinoth

In this project, a downlink resource allocation scheme for OFDMA-based next generation wireless network targets high data rate and efficient resource usage the scheme consist of radio resource and power allocation which are implemented separately. Low complexity heuristic algorithm are first proposed to achieved the radio resource allocation, where graph base framework and fine physical resource block assignment are performed to mitigate major ICI and hence improve the network performance. A novel distributed power allocation is then performed to optimize the performance of cell edge users under desirable conditions. The power optimization is formulated as an iterative barrier constrained water filling problem and solved by Lagrange method. Joint ML MMSE is used to develop simple receiver structure that gives joint ML estimates of multipath channel and the transmitted data sequence. Simulation results indicate that our proposed scheme can improve performance of cell edge users in multicell network