A Femtocellular Network Interference Alignment Optimization Method

Abstract

The invention discloses a femtocell network interference alignment optimizing method.The femtocell network interference alignment optimizing method includes the following steps that 1, wireless parameter information is initialized; wireless space channel state information between femtocell base stations and femtocell users is collected; 2, transmitting power values of the femtocell base stations to femtocell receivers are initialized; 3, a femtocell network downlink signal receiving model is established; 4, a pre-coded matrix Vi and an interference suppression matrix Ui are initialized; 5, interference iteration calculation is performed to calculate whether the interference leakage power of the femtocell users is eliminated or not, the operation is finished if the interference is eliminated, and the step 6 is executed if the interference still exists; 6, the channel quality and signal sending rate are assessed; 7, the transmitting power of the femtocell base stations is calculated and updated; 8, the pre-coded matrix Vi and the interference suppression matrix Ui are calculated and updated; 9, the step 5 is repeated, the iteration calculation continues till convergence is achieved.The femtocell network interference alignment optimizing method gives a comprehensive consideration to channel factors and signal vector transmitting rate and is a novel downlink dynamic power control method.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, in particular to a partial feedback interference alignment optimization method based on femtocell downlink transmission power allocation. Background technique [0002] Recent studies have shown that user services in indoor places account for 70% of the voice traffic and data traffic of mobile services. According to current network operation experience, mobile users spend 60% of their time in indoor environments such as enterprises and homes. In a modern society with dense high-rise buildings, wireless signals have poor penetration ability to buildings, walls, and beautiful decorations, resulting in large space loss and transmission loss, and the effect of macro base stations on indoor coverage is not good. With the explosive increase in demand for cloud technology and big data services, indoor users urgently need to improve the communication coverage environment, which also puts fo...

AI Technical Summary

Problems solved by technology

However, the above studies did not make full use of the total power of the system, and the algorithm itself has a high complexity

Chinese patent document CN 104540209A discloses a power allocation method for the interference alignment algorithm of a multi-user system. This method dynamically allocates power through the number of data streams sent by the transmitting end to achieve interference alignment optimization. This method can increase the system transmission rate but does not comprehensively consider channel factors and the effect of signal vector emission rate on power allocation

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