With the advances of the 4th generation （4G） mobile communications targeting multi-user QoS-guaranteed multimedia services, multiple input multiple output （MIMO） combined with multi-level quadrature amplitude modu...With the advances of the 4th generation （4G） mobile communications targeting multi-user QoS-guaranteed multimedia services, multiple input multiple output （MIMO） combined with multi-level quadrature amplitude modulation （M-QAM） technique gains great popularity for its capability of supporting high data rate. In this article, the statistical distribution of signal to noise plus interference ratio （SINR） in each recursive step of optimal ordered zero-forcing perfect successive interference cancellation （ZF-OOPSIC） detection is deduced based on order statistics theory. The symbol error rate （SER） of M-QAM MIMO system with ZF-OOPSIC detector is analyzed under fiat Rayleigh fading channel. This precise analytical SER result could be taken as the lower bound of various zero-forcing ordered successive interference cancellation （ZF-OSIC） receivers. Combining the analytical SER expression for linear zero-forcing （ZF） receiver as upper bound, the rough range of SER for various ZF-OSIC detectors could be obtained. Monte Carlo （MC） simulations validate the analytical results and prove the conclusions.展开更多
In this article, two methods adopting simplified minimum mean square error （MMSE） filter with soft parallel interference cancellation （SPIC） are discussed for turbo receivers in bit interleaved coded modulation （...In this article, two methods adopting simplified minimum mean square error （MMSE） filter with soft parallel interference cancellation （SPIC） are discussed for turbo receivers in bit interleaved coded modulation （BICM） multiple-input multiple-output （MIMO） systems. The proposed methods are utilized in the non-first iterative process of turbo receiver to suppress residual interference and noise. By modeling the components of residual interference after SPIC plus the noise as uncorrelated Gaussian random variables, the matrix inverse for weighting vector of conventional MMSE becomes unnecessary. Thus the complexity can be greatly reduced with only slight performance deterioration. By introducing optimal ordering to SPIC, performance gap between simplified MMSE and conventional MMSE further narrows. Monte Carlo simulation results confirm that the proposed algorithms can achieve almost the same performance as the conventional MMSE SPIC in various MIMO configurations, but with much lower computational complexity.展开更多
基金supported by the Specialized Major Science and Technology Project of China (2008ZX03003-004,2009ZX03003-009)the National Natural Science Foundation of China (60872048)+1 种基金Sino-Sweden Cooperative Project (2008DFA12110)Sino-Australia Collaborations Project
文摘With the advances of the 4th generation （4G） mobile communications targeting multi-user QoS-guaranteed multimedia services, multiple input multiple output （MIMO） combined with multi-level quadrature amplitude modulation （M-QAM） technique gains great popularity for its capability of supporting high data rate. In this article, the statistical distribution of signal to noise plus interference ratio （SINR） in each recursive step of optimal ordered zero-forcing perfect successive interference cancellation （ZF-OOPSIC） detection is deduced based on order statistics theory. The symbol error rate （SER） of M-QAM MIMO system with ZF-OOPSIC detector is analyzed under fiat Rayleigh fading channel. This precise analytical SER result could be taken as the lower bound of various zero-forcing ordered successive interference cancellation （ZF-OSIC） receivers. Combining the analytical SER expression for linear zero-forcing （ZF） receiver as upper bound, the rough range of SER for various ZF-OSIC detectors could be obtained. Monte Carlo （MC） simulations validate the analytical results and prove the conclusions.
基金supported by the Major Project of the Beijing Natural Science Foundation under Grant No. 4110001the National Science and Technology Major Project of China under Grant No. 2012ZX03001021-003
文摘In this article, two methods adopting simplified minimum mean square error （MMSE） filter with soft parallel interference cancellation （SPIC） are discussed for turbo receivers in bit interleaved coded modulation （BICM） multiple-input multiple-output （MIMO） systems. The proposed methods are utilized in the non-first iterative process of turbo receiver to suppress residual interference and noise. By modeling the components of residual interference after SPIC plus the noise as uncorrelated Gaussian random variables, the matrix inverse for weighting vector of conventional MMSE becomes unnecessary. Thus the complexity can be greatly reduced with only slight performance deterioration. By introducing optimal ordering to SPIC, performance gap between simplified MMSE and conventional MMSE further narrows. Monte Carlo simulation results confirm that the proposed algorithms can achieve almost the same performance as the conventional MMSE SPIC in various MIMO configurations, but with much lower computational complexity.
