Towards Systems Beyond 3G Based on Adaptive OFDMA Transmission
Journal article, 2007

High data rates, high spectral efficiency, flexibility, and low delays over the air interface will be important features in next-generation wireless systems. The overall challenge will be packet scheduling and adaptive radio transmission for multiple users, via multiple antennas and over frequency-selective wideband channels. This problem needs to be structured to obtain feasible solutions. The basic simplifying assumptions used here are clustering of antennas into cells, orthogonal transmission by use of cyclic-prefix orthogonal frequency-division multiplexing (OFDM) and a time-scale separation view of the total link adaptation, scheduling and intercell coordination problem. Based on these assumptions, we survey techniques that adapt the transmission to the temporal, frequency, and spatial channel properties. We provide a systematic overview of the design problems, such as the dimensioning of the allocated time-frequency resources, the influence of duplexing schemes, adaptation control issues for downlinks and uplinks, timing issues, and their relation to the required performance of channel predictors. Specific design choices are illustrated by recent research within the Swedish Wireless IP program and the EU IST-WINNER project. The presented results indicate that high-performance adaptive OFDM transmission systems are indeed feasible, also for challenging scenarios that involve vehicular velocities, high carrier frequencies, and high bandwidths.

orthogonal frequency-division multiplexing (OFDM)

broadband radio transmission

link adaptation

channel prediction

spatial division multiple access (SDMA)

orthogonal frequency-division multiple access (OFDMA)

wireless broadband

channel-aware scheduling

channel estimation

timedivision multiple access (TDMA)

Author

Mikael Sternad

Uppsala University

Tommy Svensson

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

Tony Ottosson Gadd

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

Anders Ahlen

Uppsala University

Arne Svensson

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

Anna Brunström

Karlstad University

Proceedings of the IEEE

0018-9219 (ISSN) 15582256 (eISSN)

Vol. 95 12 2432 - 2455 4389761

Areas of Advance

Information and Communication Technology

Subject Categories

Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/JPROC.2007.907119

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4/5/2022 6