A beamspace multicast transmission method for large-scale MIMO with optimal energy efficiency

Abstract

The invention provides a large-scale MIMO beam space multicast transmission method with optimal energy efficiency, which mainly comprises the following steps: a cell base station configures a large-scale antenna array, generates a large-scale beam set by beam shaping to cover the whole cell, and carries out multicast communication with a user on the generated beam. The base station estimates the statistical channel state information of each user according to the received user uplink detection signal, and performs optimal beam space power allocation according to the statistical channel state information. Among them, the proposed energy-efficient beamspace power allocation algorithm mainly utilizes Dinkelbach transform and deterministic equivalence principle, and obtains the global optimal energy-efficient beamspace multicast power allocation matrix by iteratively solving a series of convex optimization problems. And with the movement of users, the statistical channel state information between the base station and each user changes. The base station obtains the statistical channel state information according to different application scenarios, and dynamically implements the optimal energy-efficient multicast power allocation in the beam space.

Description

technical field [0001] The invention belongs to the communication field, and in particular relates to an energy-efficient large-scale multiple-input multiple-output (Multiple-Input Multiple-Output, MIMO) beam domain transmission method using a large-scale antenna array and statistical channel state information in a multicast scenario. Background technique [0002] In a massive MIMO system, the base station uses a large-scale antenna array to serve multiple users at the same time. The use of massive MIMO technology can effectively reduce the interference between users, and greatly improve the spectrum utilization and power efficiency of the wireless communication system. In the beam division multiple access transmission process, the base station converts the transmitted signal to the beam domain through unitary transformation, and performs signal transmission in the beam domain channel, making full use of the spatial angular resolution of the large-scale antenna array and the...

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Problems solved by technology

Since the objective function of this kind of optimization problem is non-convex, it is usually difficult to obtain the global optimal solution, and when the number of antennas on the base station side is large, the complexity of the expectation process in the process of calculating the multicast rate of the system is very high

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