Pilot frequency distribution method for cellular-removed large-scale MIMO (Multiple Input Multiple Output) system

Abstract

The invention discloses a pilot frequency distribution method for a cellular-removed large-scale MIMO system, and the method comprises the steps: obtaining a sorted user list according to a preset user sorting process; obtaining an orthogonal pilot frequency sequence with a number according to a preset numbering process; and according to a preset allocation process, sequentially allocating the orthogonal pilot frequency sequences with the numbers to all users in the user list according to the numbers. According to the method, the use frequency of each pilot frequency sequence is balanced, the condition that a certain pilot frequency is multipurpose or not used is avoided, and the fairness of the use frequency of the pilot frequency of the user is ensured. On the basis, the distance between the users using the same pilot frequency is increased, the pilot frequency pollution to each user is further reduced, and the channel estimation quality is improved, so that the relatively fair service and quality are provided, and the average spectrum efficiency of the whole system is also improved.

Description

technical field [0001] The invention relates to a pilot allocation method for a decellularized massive MIMO system, belonging to the technical field of wireless communication. Background technique [0002] At present, in many studies on decellularized massive MIMO systems, for the convenience of modeling and analysis, the method of randomly assigning pilots is used, but the randomness of this method has not been eliminated by relevant measures, so it has a strong guideline. frequent pollution. [0003] In order to get better performance, some researchers use some index as the objective function to optimize the allocation result after randomly allocating the pilot sequence, that is, the Greedy Pilot Assignment (GPA) method, in order to improve the minimum performance. [0004] With the deepening of research, relevant personnel have added user location information on the basis of greedy allocation, so as to more accurately assign different pilots to specified users and users...

AI Technical Summary

Problems solved by technology

Although this method further improves the performance, it is necessary to detect the pilot allocation of each user every time the pilot is allocated to the specified user and its surrounding users, which greatly increases the complexity, and the specific allocation is still random. way, so it is random, ignoring the unfairness caused by the number of times each pilot sequence is used

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