Modulation coding state regulation means, self-adaptive coding modulation method and system

Abstract

The utility model discloses a regulation method used for modulating the codes and a adaptive coding modulator approach, which comprise the steps as follows: according to the handing capacity and the signal-to-noise ratio curve, the initial value of the encoding conditions can be ascertained; as per signal-to-noise ratio, the degree of encoding can be adjusted; the adjusted encoding degree can be used to adjust the initial value of the encoding conditions, so as to obtain the encoding status. Recording the channel enveloping variation and the variance ratio thereof as the signal-to-noise ratio leaps over the limits of the setting time; also, the channel enveloping variation and the variance ratio thereof can be handled via the fuzzy algorithm, so as to obtain the second trim. The signal-to-noise ratio-based trim can be used to adjust the encoding status to improve the control precision of the transmission mode. The fuzzy algorithm can be adopted to track the channel characteristics of the existing occasion quickly and accurately and forecast the channel variation of the next occasion, so as to further improve the control precision of the transmission mode. Thus, more handing capacity can be obtained to enhance the transmission rate of the system.

Description

technical field [0001] The invention relates to a modulation and coding state adjustment method, an adaptive coding and modulation method and a system. Background technique [0002] With the increase of wireless communication users, the demand for wireless communication services has shifted from a single low-speed voice service to various multimedia services. The future wireless communication system must have high spectrum utilization and high-speed data transmission capabilities. Link adaptation can determine the capacity of the current channel according to the channel conditions, and then determine the transmitted information symbol rate, transmission power, coding rate and coding method, modulated constellation size and modulation method and other parameters, so that information can be sent to the maximum, Achieve a lower bit error rate and maintain a constant transmit power to reduce interference to other users, meet the needs of different services, and improve the overa...

AI Technical Summary

Problems solved by technology

The channel quality indicator received by the base station often deviates from the channel characteristics at the actual transmission time, resulting in the conversion of the modulation and coding method lagging behind the change of the channel. At this time, the modulation and coding method determined according to the channel estimation result of the previous frame transmission is no longer Applicable to the actual channel conditions of the next data frame. If the estimated channel is better than the actual channel, the bit error rate will increase and the system reliability will decrease. When the estimated channel is worse than the actual channel, the system will be forced to Operating on a modulation with lower spectral efficiency, resulting in a loss of throughput

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