Large-scale MIMO safe multicast transmission power distribution method with optimal energy efficiency

Abstract

The invention provides a large-scale MIMO (Multiple Input Multiple Output) safe multicast transmission power distribution method with optimal energy efficiency based on statistical channel state information. The method is used for using a large-scale antenna array and the statistical channel state information. Public signals transmitted by a base station are transmitted to a plurality of legal target users in a multicast mode, an eavesdropper eavesdrops in a transmitting area, the base station obtains statistical channel state information of all the users and the eavesdropper in the transmitting process, multicast transmission power distribution with the optimal energy efficiency is implemented. A series of convex optimization sub-problems are solved through two-layer iteration by utilizing a Minorize Maximize method, Dinkelbach transformation and determinacy so as to obtain a beam domain power distribution matrix of safe multicast. When statistical channel state information between the base station and each user as well as between the base station and an eavesdropper changes, the base station can dynamically implement safe multicast transmission power distribution with optimal energy efficiency, the complexity is low, and the energy efficiency of large-scale MIMO safe multicast transmission can be effectively improved.

Description

Technical field [0001] The invention relates to a multicast transmission power distribution method, in particular to a large-scale MIMO secure multicast transmission power distribution method with the best energy efficiency, which is used by a large-scale antenna array and statistical channel state information, and belongs to the field of communication. technical background [0002] In a large-scale MIMO system, the base station arranges a large-scale antenna array to serve multiple users at the same time. Adopting large-scale MIMO technology can effectively reduce the interference between users and greatly improve the energy efficiency and spectrum efficiency of wireless communication system. In the process of large-scale MIMO downlink transmission, the base station side converts the transmitted signal to the beam domain through unitary transformation, and transmits the signal in the beam domain channel, making full use of the spatial angular resolution of the large-scale antenn...

AI Technical Summary

Problems solved by technology

[0004] Traditional energy efficiency optimization problems are often based on instantaneous channel state information, but in massive MIMO systems, it is difficult to obtain instantaneous channel state information, and when the number of antennas on the base station side is large, the process of solving the system unicast and multicast rates The complexity of the expected process is high

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