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An adaptive hybrid MIMO scheme with fixed antennas
An adaptive hybrid MIMO scheme has been proposed for multi-antenna system based on the uniformed hybrid MIMO model combining the transmit diversity and spatial multiplexing. The adaptive hybrid MIMO scheme adaptively adjusts the allocation of freedom degree i.e. gain ratio between the diversity and multiplexing with the adaptive hybrid MIMO precoding according to the variation of channel condition to achieve the necessary diversity gain and spatial multiplexing gain simultaneously; Meanwhile, an adaptive hybrid detection method is designed to complete the hybrid spatial multiplexing signal separation and transmit diversity signal decoding. Simulation results show that: for the multi-antenna system with the fixed antennas, compared with other transmit diversity and spatial multiplexing schemes, the proposed adaptive hybrid MIMO scheme can achieve the best performance and highest capacity during the whole channel SNR variation span.
An adaptive hybrid MIMO scheme with fixed antennas
An adaptive hybrid MIMO scheme has been proposed for multi-antenna system based on the uniformed hybrid MIMO model combining the transmit diversity and spatial multiplexing. The adaptive hybrid MIMO scheme adaptively adjusts the allocation of freedom degree i.e. gain ratio between the diversity and multiplexing with the adaptive hybrid MIMO precoding according to the variation of channel condition to achieve the necessary diversity gain and spatial multiplexing gain simultaneously; Meanwhile, an adaptive hybrid detection method is designed to complete the hybrid spatial multiplexing signal separation and transmit diversity signal decoding. Simulation results show that: for the multi-antenna system with the fixed antennas, compared with other transmit diversity and spatial multiplexing schemes, the proposed adaptive hybrid MIMO scheme can achieve the best performance and highest capacity during the whole channel SNR variation span.
An adaptive hybrid MIMO scheme with fixed antennas
Xiaohui, Yang (Autor:in) / Dandan, He (Autor:in) / Lihua, Li (Autor:in) / Ping, Zhang (Autor:in)
01.06.2006
5159380 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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