GPP-based computing resource scheduler and scheduling method for LTE broadband communication system

Abstract

The invention discloses an LTE broadband communication system calculation resource dispatcher based on a GPP and a dispatching method thereof. The calculation resource dispatcher comprises three parts which are an LTE assembly state information storer, an LTE calculation resource dispatching center and an LTE calculation resource pool. According to the calculation resource dispatcher, in order to meet the strict requirements of an LTE broadband communication system for time delay, in the process of adoption of assembly line mode processing communication signals based on the GPP, the cloud calculation conception is utilized, base stations are centralized together to form a base station cluster, in the base station cluster, the GPP is used as a calculation resource, the GPP calculation resource are dispatched, a large number of calculation tasks are divided into reasonable granularity and then are distributed into assembly lines of various grades for processing so as to enable the assembly line mode processing communication signals to be capable of meeting the instantaneity requirement, and time safety surplus of all task operation is increased. In order to solve the problem that the overhead of Turbo decoding time is large, the invention further discloses the dispatching method for reasonably distributing Turbo decoding code blocks, so that the real-time performance of the LTE broadband communication system is further increased and improved.

Description

technical field [0001] The present invention relates to a 4G broadband communication system technology, to be precise, relates to a GPP-based LTE broadband communication system computing resource scheduler and a scheduling method thereof, and belongs to the technical field of wireless communication. Background technique [0002] 4G communication system is the abbreviation of the fourth generation mobile communication and its technology. Taking the Long Term Evolution (LTE) system as an example, the 4G LTE system can realize data download and upload at speeds of 100Mbps and 50Mbps respectively, and can meet almost all users' needs for wireless services. 4G LTE Advanced uses carrier aggregation technology, and the peak downlink speed can reach 150Mbps. In addition, 4G can also be deployed in places where DSL (Digital Subscriber Line) and cable TV modems are not covered, and then extended to the entire area, which can effectively improve the performance of cell edge users, inc...

AI Technical Summary

Problems solved by technology

[0003] The exponentially increasing throughput of the 4G system poses a great challenge to the data processing capabilities of base stations and mobile stations, and its high real-time requirements, low latency and precise synchronization performance parameters make equipment manufacturers and operators More expensive and complex products must be developed or purchased to meet demanding technical requirements

Although the working clock frequency of DSP has been increased to GHz level, it still cannot meet the real-time requirements of high-end application systems

In other words, there has always been a gap between the complexity of algorithms and the performance of traditional DSPs

Moreover, with the introduction of mobile communication technologies such as LTE and LTE-A, multiple-input multiple-output MIMO (Multiple-Input Multiple-Output), OFDM, and low-density parity-check code LDPC (Low-density Parity-check) in communication systems The complexity of real-time video encoding and decoding methods such as wireless algorithms and AVS has risen linearly, making this gap further expand

[0013] In short, the existing technology generally has the following disadvantages: the communication processing delay of a large amount of data is high, and the hardware performance is difficult to meet the high-speed processing requirements

Moreover, strict real-time requirements make the upgrade cost of hardware high

The smooth evolution of the system also puts higher requirements on the equipment, and the dynamic load leads to low utilization of the base station

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