Energy efficiency, spectral efficiency and QoS integrated optimization method in large-scale MIMO

Abstract

The present invention discloses an energy efficiency, spectral efficiency and QoS integrated optimization method in a large-scale MIMO. The method comprises: establishing a large-scale MIMO downlink model, eliminating the interference between users, decomposing a channel into a plurality of parallel channels, and calculating system efficiency; and performing user dispatching, and determining each user's waiting time slot number, and optimally dispatching users who have the waiting time reaching or exceeding the maximum waiting time slot number; if the selected user number cannot reach the upper limit, employing the greedy algorithm to dispatch the users; and performing power distribution, taking the base station sending antenna power top limitation and the user QoS rate top and bottom limitation as constraint conditions, performing power distribution, solving the maximum energy efficiency, and finally obtaining the integrated optimization of the spectral efficiency and the energy efficiency. The energy efficiency, spectral efficiency and QoS integrated optimization method in the large-scale MIMO can ensure the users' QoS delay requirement, and the obtained user real instantons rate is in the QoS requirement range. Compared to the distribution scheme of only limiting the rate down limitation, the energy efficiency, spectral efficiency and QoS integrated optimization method in the large-scale MIMO is higher in the effective spectral efficiency and combines the spectral efficiency and the energy efficiency.

Description

technical field [0001] The invention belongs to power management in the field of wireless communication networks, in particular to quality of service (QoS) technology, and specifically relates to a joint optimization method for energy efficiency, spectrum efficiency and guaranteed QoS in a massive MIMO downlink channel. Background technique [0002] Multiple-Input Multiple-Output (MIMO) can increase system channel capacity without increasing spectrum resources. Among them, in a multi-user MIMO (MU-MIMO) system, through space division multiplexing, multiple users use the same time-frequency resource for communication, thereby further improving spectrum efficiency. Since different types of wireless communication services have different requirements on QoS (Quality of Service) delay and rate, optimizing spectrum efficiency (throughput) while ensuring QoS requirements has always been a hot spot in MIMO system resource allocation. In recent years, with the continuous improvement...

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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a joint optimization of spectrum efficiency and energy efficiency of a massive MIMO system that guarantees user QoS delay and rate requirements in view of the inability to balance spectrum efficiency or energy efficiency in the prior art Program

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