Self-adaption bit and power distribution method with low complex degree

Abstract

The invention discloses a self-adaptive bit and power allocation method with low complexity which is suitable for an MIMO system, and the method minimizes the total transmission power of the system under the condition that a sender cannot obtain an accurate channel state message and the bit error ratio of the system and the message transmission rate are restricted. The method is characterized in that signals to interference and noise ratios of equivalent sub-channels of the MIMO system under the condition of inaccurate channel state message are analyzed, thus obtaining an explicit relation between the transmission power of the sub-channels and the bit number; a non-convex optimization problem is converted into a convex optimization problem by adopting part monotonicity of functions, and then the closed optimal result in non-negative real number region of the optimization problem is calculated by adopting the Lagrangian approach; finally a real bit number is adjusted to a bit allocation result which requires the need of the real system and a corresponding power allocation is given. The invention is suitable for not only the MIMO system, but also an MIMO-OFDM system. The self-adaptive bit and power allocation method provided by the invention has the advantages of providing approximately optimal power efficiency under the condition of inaccurate channel state message and low operation complexity.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and relates to a low-complexity self-adaptive bit and power allocation technology of a MIMO system, which uses inaccurate channel state information to minimize the bit error rate and information transmission rate of the system The total transmit power of the system. Background technique [0002] In the MIMO system, the adaptive bit and power allocation technology can adaptively adjust the distribution of information bits and power on each transmitting antenna according to the channel state information, thereby improving the system spectrum efficiency and ensuring the quality of information transmission. Therefore, in the field of wireless communication research Widespread concern. Channel state information is the basis of adaptive bit and power allocation, and its quality has a significant impact on the performance of adaptive bit and power allocation methods. However, in practica...

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Problems solved by technology

Channel state information is the basis of adaptive bit and power allocation, and its quality has a significant impact on the performance of adaptive bit and power allocation methods. However, in practical systems, due to random channel changes, channel estimation errors, and processing delays Affected by factors, it is almost impossible for the transmitter to obtain accurate channel state information at the time of transmission. The traditional adaptive bit and power allocation method based on the assumption of accurate channel state information will suffer performance loss, and may even be unavailable because it cannot meet the system communication quality requirements.

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