Abstract
An adaptive MIMO detection algorithm for LTE-A system which is based on sphere detection is proposed in this paper. The proposed algorithm uses M-algorithm for reference to remove unreliable constellation candidates before search, and the number of constellation reservation is adaptively adjusted according to SNR. Simulations of LTE-A downlink show that the BER performance of the proposed detection algorithm is nearly the same as maximum likelihood (ML) detection algorithm. However, the complexity is reduced by about 30% compared with full constellation sphere detection.
Highlights
As one of the core technologies employed in LTE and LTE-A system, MIMO (Multiple Input Multiple Output) technology can provide parallel channels in space, in which multiple data streams are transmitted
An adaptive MIMO detection algorithm for LTE-A system which is based on sphere detection is proposed in this paper
Simulations of LTE-A downlink show that the BER performance of the proposed detection algorithm is nearly the same as maximum likelihood (ML) detection algorithm
Summary
As one of the core technologies employed in LTE and LTE-A system, MIMO (Multiple Input Multiple Output) technology can provide parallel channels in space, in which multiple data streams are transmitted. QRM-MLD could be regarded as the evolution of sphere detection It reserves M surviving symbol replica candidates in each stage to reduce the number of constellation searches, and the trade-off between performance and complexity is adjusted by the value of M. Reference [7] and [8] put forward a threshold based adaptive candidate selection scheme, in which the noise is measured and evaluated in each stage. These algorithms are unsuitable for LTE system, because LTE supports double code words in space multiplexing and these two code words can employ different modulation and coding schemes, which will increase the complexity of threshold calculation.
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