Method and system for distribution of communication system resource
A resource allocation and communication system technology, applied in the field of resource allocation, can solve problems such as reducing resource allocation efficiency and difficulty in satisfying resource allocation, and achieve the effects of optimizing the resource allocation process, overcoming time-varying effects, and improving user performance
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example 1
[0045] Example 1: Channel Allocation in a Cellular Communication System
[0046] In this embodiment, the methods of real-time measurement, system feedback and resource reporting are used to determine the resource status information in the current communication system, and at the same time, the resource status information at the next moment is estimated and predicted based on previous status and current status information. When the optimal or suboptimal estimated value of the resource prediction information at the next moment is obtained, a priority is established for the resource, and the resource is allocated to the user according to the priority.
[0047] This embodiment provides a channel allocation scheme based on predicted channel gain to interference ratio (Gain to Interference Ratio, GIR for short). In this example, according to the current resource situation of the system, the recursive estimation method is used to predict the resource situation at the next moment, and...
example 2
[0074] Example 2: Dynamic Bandwidth Allocation in Passive Optical Networks
[0075] This example gives a dynamic bandwidth allocation scheme based on time series prediction. In this example, according to the current resource situation of the system, the time series method is used to predict the resource situation at the next moment in the passive optical network, and the process of allocating the available bandwidth is based on the predicted information.
[0076] Time series analysis is to estimate and study the statistical regularity of a certain time series in the process of long-term changes, and to predict future development and changes. Autoregressive model, moving average model, autoregressive moving average model and autoregressive combined moving average model are the basic methods of time series forecasting and estimation.
[0077] The autoregressive model AR(p) expression is as follows:
[0078]
[0079] According to the definition of the autoregressive model, a...
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