Maximizing data throughput in an integrated TDMA communication system using mean field annealing

In an integrated TDMA communication system, voice and data are multiplexed in time to share a common transmission link. The system operates in a frame format in which time is divided into slots. A certain number of time slots in a frame are allocated to voice and the rest are used to transmit data, Maximum data throughput can be achieved by searching for the optimal configuration of relative positions of voice and data transmission in a frame. This is a NP-complete constrained optimisation problem. In the paper, mean field annealing is used to solve this problem. The determination of the Lagrange parameters, estimation of critical temperature and convergence criterion are addressed. Simulation results show that this approach is a good tradeoff between performance and computational complexity