A two-step resource block allocation method in LTE downlink system

Abstract

The invention provides a two-step resource block allocating method in an LTE (long-term evolution) downlink system. The method comprises the following steps of first allocating a corresponding scheduling block to each user according to the priority of the user; then adjusting the number of the scheduling blocks which are allocated to each user, i.e. supposing to cancel the scheduling block with the worst channel state of some user, cancelling the scheduling block if the data rate is more than or equal to the data rate before the cancellation, otherwise, not canceling the scheduling block; supposing to utilize the canceled scheduling block to substitute the scheduling block with the worst channel state of other users, substituting the scheduling block if the data rate after the replacement is greater than the data rata before the replacement, otherwise, not substituting the scheduling block, and doing the same to the rest; finally allocating the surplus scheduling blocks to the user with minimal MCS (multichannel server). Due to the adoption of the method, the data transmission rate of the user can be increased, so that the resource can be more effectively utilized, the throughput of the entire system can be enhanced, a more flexible allocation scheme can be achieved, and the large calculation complexity is not introduced.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and relates to a two-step resource block allocation method in an LTE downlink system. Background technique [0002] Compared with 2G and 3G networks, the LTE system can provide higher transmission rate and better transmission quality. Therefore, the LTE system has also become a hot research topic at present. In recent years, with the continuous emergence of new wireless communication services and the continuous rise of people's requirements for communication quality, wireless resources are becoming increasingly scarce. Communication systems are always faced with the challenge of meeting the increasing number of users and higher data rate requirements with limited resources. Facing the current communication situation and the characteristics of the communication channel, how to improve the system capacity and meet the user's service quality requirements under the condition of limit...

AI Technical Summary

Problems solved by technology

The maximum rate algorithm can obtain higher system throughput, but does not consider the fairness of user allocation, so that some users have excess resources, while some users cannot meet the minimum rate requirements

The proportional fairness algorithm well considers the fairness of users, so that each user can be allocated corresponding resources, but does not consider the user's rate requirements, so that some users cannot meet their minimum rate requirements

The algorithm of Qos guarantee comprehensively considers user fairness and speed requirements, but due to the limitation of allocation rules, the overall performance of the system is limited and the needs of some users cannot be well met.

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