Heterogeneous partial feedback design in heterogeneous OFDMA cellular networks

Modern heterogeneous networks have an inherent heterogeneous structure such as user densities and large scale channel effects that motivates this work on heterogeneous partial feedback design. In this paper, we address the partial feedback design issue in an OFDMA-based macro-pico cellular system employing the best-M partial feedback strategy. We consider the scenario with one picocell inside a macrocell, and investigate a scheduling policy which tracks the small scale channel effects in order to guarantee fairness among users as well as exploiting the multiuser diversity. We derive a closed form expression for the average spectral efficiency of the network with best-M partial feedback for the identified representative scenarios. We carry out asymptotic analysis using extreme value theory to derive an approximation to the average spectral efficiency in order to determine the minimum required partial feedback with minimal loss in system performance.