Energy-efficient large-scale mimo non-orthogonal unicast multicast transmission power allocation method

Abstract

The invention proposes a large-scale MIMO non-orthogonal unicast multicast transmission power allocation method with optimal energy efficiency. In this method, the base station generates a large-scale beam set covering the entire cell through beamforming, and performs non-orthogonal unicast and multicast communication with users, that is, simultaneously sends unicast and multicast signals to users on the same time-frequency resource . Through the uplink channel detection process, the base station obtains the statistical channel state information of each user, and implements non-orthogonal unicast multicast transmission power allocation with optimal energy efficiency. The algorithm mainly uses deterministic equivalence principle, MM method and Dinkelbach transform to solve a series of convex optimization sub-problems through two layers of iteration to obtain unicast and multicast beam domain power allocation matrices respectively. When the statistical channel information between the base station and each user changes, the base station can dynamically implement non-orthogonal unicast multicast transmission power allocation with optimal energy efficiency. The invention has low implementation complexity and can effectively improve the energy efficiency of large-scale MIMO non-orthogonal unicast multicast transmission.

Description

technical field [0001] The invention belongs to the communication field, and in particular relates to a large-scale MIMO non-orthogonal unicast multicast transmission power distribution method with optimal energy efficiency using a large-scale antenna array and statistical channel state information. Background technique [0002] In a massive MIMO system, a large-scale antenna array is arranged at the base station to serve multiple users simultaneously. The use of massive MIMO technology can effectively reduce the interference between users and greatly improve the energy efficiency and spectral efficiency of wireless communication systems. In the massive MIMO downlink 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 angle resolution of the large-scale antenna array and the user channel in the beam domain. concent...

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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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