An energy-efficiency-based multi-cell resource allocation method in an LTE system

Abstract

The invention relates to an energy efficiency-based multi-cell resource allocation method in an LTE system, and belongs to the technical field of wireless communication. This method establishes a neighboring cell list in each cell, and the location, load, and PRB resource information of the neighboring cells are stored in the list, and the above-mentioned information is exchanged between the cells periodically, so as to update their own neighboring cell list in time; judging the cell Whether there is a user that does not meet the minimum data rate in the cell, if it exists, allocate additional PRBs for it, if the free PRBs in this cell are not enough, handover the switchable users in the overlapping area to the target adjacent cell; in the cell, by using All remaining PRBs and transferable PRBs of other users are moved to the user with the best channel quality and non-transferable PRBs that can increase the sum data rate of two users are exchanged 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 method 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 po...

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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