Secondary user system capacity optimization method for cognitive MIMO network
A technology of system capacity and optimization method, applied in the field of mobile communication, can solve problems such as increasing the complexity of the receiver
Active Publication Date: 2018-05-04
CHONGQING UNIV OF POSTS & TELECOMM
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[0004] With the further development of integrated circuits, for future mobile communications, NOMA technology is an important candidate technology for increasing system capacity. At present, the use of NOMA technology also has certain disadvantages, because NOMA technology uses serial interference cancellation at the receiving end to perform useful signal reception, while the serial interference cancellation is to increase the system capacity at the cost of increasing the complexity of the receiver
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[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0023] An interference alignment method based on dynamic power allocation in cognitive networks proposed by the invention, such as figure 1 As shown, it specifically includes the following steps:
[0024] S1. Calculate the trace of the channel matrix of the secondary user, sort the channels according to the size of the channel matrix trace and use the minimum mean square error method at the sending end to carry out precoding design;
[0025] S2. According to the ordering of the channel matrix traces, us...
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The invention relates to the technical field of mobile communication, in particular to a secondary user system capacity optimization method for a cognitive MIMO network. The method comprises the following steps: calculating tracks of secondary user channel matrixes, carrying out channel ranking according to the sizes of the channel matrix tracks, and using the minimum mean square error method at asending end for precoding designing; according to a ranking result of the channel matrix tracks, using the end-to-end clustering method for secondary user clustering, and carrying out power distribution on secondary users; with the system capacity for cognitive users after the clustering as an optimization target, listing optimization equations meeting optimization requirements; and obtaining a Lagrange function of the optimization equations, solving the optimal power distribution coefficient according to KKT conditions, and obtaining a power distribution coefficient achieving the optimal target function according to the mathematical induction method. The method provided by the invention has the advantages that the dynamic power distribution is carried out on the secondary users based onthe channel status clustering, and the optimal power distribution coefficient of the secondary users is obtained through the mathematical induction method, so that the optimal system capacity is obtained.
Description
technical field [0001] The invention relates to the technical field of mobile communication, in particular to a method for optimizing the capacity of a secondary user system in a cognitive MIMO network. Background technique [0002] The network combining cognitive radio technology and MIMO technology is called cognitive MIMO network, which can greatly increase the capacity of the system by taking advantage of the airspace parallel transmission advantage of MIMO. Facing the coming 5G era, spectrum scarcity is still a serious problem. Cognitive MIMO combines the intelligent flexibility of cognitive radio and the space transmission advantages of MIMO. It can improve the capacity of the system while improving spectrum utilization. It has broad prospects for future mobile communications. From 1G to 4G, orthogonal multiple access technology is used. In the 5G era, non-orthogonal multiple access technology is increasingly concerned by the industry. It can not only further enhance ...
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IPC IPC(8): H04B7/0413H04B7/0456H04W16/14H04W72/04
CPCH04B7/0413H04B7/0456H04W16/14H04W72/0473Y02D30/70
Inventor 唐宏廖晗金凤张进彦
Owner CHONGQING UNIV OF POSTS & TELECOMM