Maximizing the Throughput Guarantees in Wireless Networks Under Imperfect Channel Knowledge
In the authors' earlier work, they described an optimization problem and corresponding scheduling algorithm aimed at obtaining maximum throughput guarantees in wireless networks. To further improve the short-term performance, they also proposed two adaptive versions of the optimal algorithm. Results from the simulations showed that the adaptive algorithms perform significantly better than other well-known scheduling algorithms in networks based on Mobile WiMAX, HSDPA, LTE and WINNER I. However, there were several idealistic assumptions in that analysis, the most important of which is that each user estimates its Carrier-to-Noise Ratio (CNR) perfectly, and there is no feedback delay.