QOS Enhancement for OFDM System Using Queuing Theory and an Optimized Estimator

To the problem of bit and power allocation in Orthogonal Frequency Division Multiplexing (OFDM) system, a novel framework was proposed which introduced the Game theory and a new algorithm was applied. Firstly, the power allocation problem was described as noncooperative Game process. Secondly, combined with influences of required quality of service (QoS). In this paper, we propose a novel SNR estimation algorithm with game theory for wireless OFDM systems based on the reuse of the synchronization preamble and efficient channel allocation based on its service and arrival rates. The periodic structure of the preamble is utilized for the computationally efficient SNR estimation algorithm, based on the second-order moments of received preamble samples. The performance of the proposed algorithm is compared with the MMSE algorithm and two preamble-based algorithms found in the literature. It is shown that the proposed algorithm is robust against frequency selectivity and may therefore be used for sub channel SNR estimation. Throughput, route delay are also improved by using the proposed architecture