Multi-cell resource allocation algorithm based on energy efficiency in LTE system

Abstract

The invention relates to a multi-cell resource allocation algorithm based on energy efficiency in a LTE system and belongs to the technical field of wireless communication. The algorithm comprises steps of: establishing a neighbor cell list in each cell, wherein the positions, the loads, and the PRB resource information of neighbor cells are stored in the neighbor cell list, the cells exchange the above information with one another periodically in order to timely update the neighbor cell lists; determining whether a user not satisfying a minimum data rate exists in a certain cell, allocating extra PRBs to the user if yes, and switching a switchable user in an overlapping region to a target neighbor cell if the idle PRBs of the cell are insufficient; in the cell, moving all rest PRBs and transferable PRBs of other users to the user with best channel quality and exchanging the untransferable PRBs capable of increasing the sum data rate of two users so as to increase the data rate of the cell.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and relates to an energy efficiency-based multi-cell resource allocation algorithm in an LTE system. Background technique [0002] LTE technology is mainly based on OFDM and MIMO as the core technology. It has the characteristics of lower transmission delay, higher data rate, greater capacity and coverage, less operating expenses and optimized network architecture. It has been adopted in the world It has developed rapidly within the scope and has become the mainstream technology of global wireless mobile communication. However, with the continuous expansion of the scale of the LTE wireless communication network and the rapid growth of the number of users, the energy consumed by the LTE wireless communication system is also rising rapidly, which brings huge expenses. At the same time, the amount of greenhouse gases emitted by the system is also increasing. exacerbated environmental...

AI Technical Summary

Problems solved by technology

For a cell with a heavy load, users may fail to meet the minimum data rate requirements and new users may not be able to access, while resources in a cell with a low load are idle, and users with good channel quality may not be able to obtain PRBs with a high reachable rate. resulting in a waste of energy and other idle resources

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