Low-complexity iterative interference cancellation multiuser detection based on channel selection and adaptive transmission

In this study, a new iterative interference cancellation (IIC) multiuser detection method is proposed for overloaded multiple-input multiple-output (MIMO) coded orthogonal frequency division multiplexing systems. A channel analyser is used to detect those channels for which the IIC detector will not converge. For these we propose two adaptive methods to enable detection. The first is to use a lower code rate for these channels. The second is to divide the transmitters into several groups which transmit in separate slots. Low-complexity matched filter is applied, and both successive interference cancellation and parallel interference cancellation are considered for interference reconstruction. The simulation results show that the proposed technique can achieve near-optimum bit error rate performance and optimum frame error rate performance, with lower complexity than optimum maximum-likelihood methods.