Cochannel interference suppression through time/space diversity

Wireless systems are subject to a time-varying and unknown a priori combina tion of cochannel interference, fading, and Gaussian noise. It is well know n that multiple antennas can provide diversity in space that allows system tradeoffs between interference suppression and mitigation of fading, This p aper describes how to achieve these same tradeoffs through diversity in tim e provided by channel coding, The mathematical description of time diversit y. is identical to that of space diversity, and what emerges is a unified f ramework for signal processing. Decoding algorithms are provided for repeti tion codes, rate 1/n convolutional codes, first-order Reed-Muller codes, an d a new class of Linear combination codes that provide cochannel interferen ce suppression. In all cases it is possible to trade performance for comple xity by choosing between joint estimation and a novel low-complexity linear canceler structure that treats interference as noise, This means that a si ngle code can he used in a variety of system environments just by changing the processing in the receiver.