Resource allocation and interference suppression method based on non-cooperative game in LTE system

Abstract

The invention provides a resource allocation and interference suppression method based on non-cooperative game in an LTE system. First, a multi-cell LTE network interference model is established by adoption of soft frequency reuse, and then, a utility function based on the price mechanism is established through consideration on users' demand for quality of service and energy consumption based on the non-cooperative game theory, a power iteration algorithm maximizing the utility function is given, and resource allocation and interference suppression can be realized through iterative solution. Joint interference management and resource allocation in a multi-user multi-cell multi-carrier LTE system can be realized. Through ICI suppression and inter-cell signal interference noise ratio balancing, inter-cell interference is reduced while energy is saved. The throughput and the network coverage of cell edge users in the system can be effectively improved under the condition of without increasing additional power consumption. Only pricing information exchange is needed between the cells, and distributed implementation is easy in actual systems. Therefore, the resource allocation and interference suppression method of the invention has good application prospect.

Description

technical field [0001] The invention belongs to the field of wireless communication, relates to a system-level network simulation of a wireless communication system, in particular to a non-cooperative game-based resource allocation and interference suppression method in an LTE system. Background technique [0002] In order to meet the increasing data rate needs of mobile users, 3GPP LTE (Long term evolution) improves cellular capacity through full frequency reuse. In a multi-cell cellular communication system, this will inevitably lead to serious inter-cell interference ( ICI, inter-cell interference). In particular, users at the edge of the cell not only receive the weakest signal strength, but also receive the greatest co-channel interference from adjacent cells. Therefore, an effective interference coordination mechanism is very important. On the other hand, the current development of battery technology cannot meet people's growing multimedia application needs. Energy e...

AI Technical Summary

Problems solved by technology

In the traditional SFR scheme, the allocation or power ratio of the primary and secondary carriers in each cell is fixed, so that the time-varying characteristics of the wireless channel cannot be fully utilized to maximize the performance of the network

[0004] In addition, due to the independence between different cells, it is difficult for each user to obtain channel state information (CSI, Channel state information) of other cells, so in a multi-cell LTE network, it is difficult for them to cooperate effectively

Even if CSI can be obtained, this consumes additional energy and its computational complexity is necessarily high, especially when the network load is heavy

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