Large-scale MIMO non-orthogonal unicast multicast transmission power distribution method with optimal energy efficiency

Abstract

The invention provides a large-scale MIMO non-orthogonal unicast multicast transmission power distribution method with optimal energy efficiency. The method comprises: a base station generating a large-scale beam set covering the whole cell through beam forming, and performing non-orthogonal unicast and multicast communication with a user, namely, simultaneously sending unicast and multicast signals to the user on the same time-frequency resource; and through an uplink channel detection process, the base station acquiring statistical channel state information of each user and implementing non-orthogonal unicast multicast transmission power distribution with optimal energy efficiency. According to the algorithm, a deterministic equivalence principle, an MM method and Dinkelbach transformation are mainly utilized, and a series of convex optimization sub-problems are solved through two-layer iteration to obtain unicast and multicast beam domain power distribution matrixes 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 distribution withoptimal energy efficiency. The method is low in implementation complexity, and the energy efficiency of large-scale MIMO non-orthogonal unicast multicast transmission can be effectively improved.

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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