Multiuser adaptation exploiting channel statistics in an OFDMA uplink

The achievable average sum rate of an OFDMA uplink with multiuser adaptation based on the channel statistics information is investigated in this paper. Multiuser adaptation using channel mean and tap correlation simultaneously is shown to offer large gains in spectral efficiency compared to both uniform subcarrier and power allocation and multiuser adaptation exploiting channel mean information only. Multiuser adaptation efficiently captures multiuser diversity with limited feedback. The impacts of the Ricean K-factor, the magnitude of tap correlation and the number of simultaneously scheduled users per OFDM symbol on the average sum rate are also investigated