A power allocation optimization method for mobile multi-user communication system

Abstract

The invention discloses a power allocation optimization method for a mobile multi-user communication system, comprising: establishing a mobile multi-user communication system model, and moving a relay node MR j Use the decoding and forwarding strategy to move the source MS i The signal is forwarded to the mobile user MU l , select the best transmitting antenna to maximize the receiving signal-to-noise ratio of the best mobile user, and use the closed expression of the outage probability of the best transmitting antenna as the constraint optimization objective function, use the enhanced gray wolf optimization algorithm to make it reach the minimum value to obtain the best The excellent power allocation coefficient significantly reduces the energy consumption of the mobile multi-user communication system. And further propose a suboptimal transmit antenna selection scheme, deduce the closed expression of the outage probability as the constrained optimization objective function, use the enhanced gray wolf optimization algorithm to make it reach the minimum value to obtain the optimal power allocation coefficient, and reduce the calculation time compared with the optimal scheme complexity and reduce the energy consumption of the mobile multi-user communication system.

Description

technical field [0001] The invention belongs to the technical field of mobile communication, and in particular, relates to a power distribution optimization method of a mobile multi-user communication system. Background technique [0002] With the development of the fifth-generation mobile communication technology, mobile users' requirements for the data rate and service quality of wireless transmission are constantly improving, and they are pursuing higher-quality, higher-speed, and more diverse mobile communications. [0003] Existing spectrum resources are almost exhausted, and a large amount of energy resources are consumed in exchange for the improvement of mobile communication quality, which brings more and more severe energy consumption problems. Using limited resources to enable more users to access the network at the same time, further Increasing the capacity of system data transmission, reducing energy consumption, and improving energy efficiency have become the ke...

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Problems solved by technology

[0003] The existing spectrum resources are almost exhausted, and a large amount of energy resources are consumed in exchange for the improvement of mobile communication quality, which brings more and more severe energy consumption problems. Using limited resources to enable more users to access the network at the same time further Improving the capacity of system data transmission, reducing energy consumption, and improving energy efficiency have become the key issues faced by 5G green mobile communication technology

[0004] Power allocation technology is an effective method to reduce the energy consumption of mobile multi-user communication systems, but the existing power allocation mechanism is designed under the traditional communication architecture, which does not take into account the real-time response requirements and efficient data acquisition requirements of mobile communication systems. The complexity is high, and it needs to be improved in terms of efficiency, real-time and applicability to application scenarios

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