Distributed antenna system and power distribution method thereof

Abstract

The invention provides a power distribution method of a distributed antenna system. The method comprises the following steps: according to a channel vector of each user, forming an equivalent channel matrix, calculating pseudo-inverse of the equivalent channel matrix, carrying out energy normalization to obtain a ZF wave beam formation matrix, according to existing information and the obtained wave beam formation matrix, carrying out initialization, employing an iteration method to solve a power distribution matrix, and finally multiplying the wave beam formation matrix with extraction of a diagonalizable power distribution matrix to obtain a ZF emission precoding matrix. The invention also provides the distributed antenna system employing the above power distribution method. Compared with an optimal power distribution method, according to the power distribution method provided in the invention, calculation complexity can be effectively reduced at the cost of a small performance loss.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a distributed antenna system and a power distribution method thereof. Background technique [0002] In a traditional cellular system, the physical locations of multiple antennas in each cell are located on a base station. Due to the path loss and shadow fading of wireless signal transmission, the received signal energy at different locations in a cell varies greatly. The received signal energy of the users of the base station is very strong, while the received signal energy of the users far away from the base station is very weak, so the communication quality cannot be guaranteed. [0003] The distributed antenna system can solve the problem of unbalanced communication quality to a certain extent. The distributed antenna system means that multiple antennas originally located on a base station are scattered in different locations of a cell, which can reduce the exi...

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Problems solved by technology

And pointed out that the power allocation problem based on the maximization and data rate criterion is a convex problem, which can be solved numerically by various optimization methods, but its computational complexity increases rapidly with the increase of the variable dimension (reference: Boccardi F ,Huang H.Zero-forcing precoding for the MIMO broadcast channel under per-antenna power constraints[A].Proceedings of IEEE Signal Processing Advances in Wireless Communications(SPAWC),2006)

Compared with the optimal allocation method, the heuristic method and equal power allocation effectively reduce the computational complexity, but there is a large gap between their performance and the optimal performance

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