Large-scale MIMO system energy efficiency optimization method based on wireless energy transmission under hardware damage

Abstract

The invention requests for protecting a large-scale MIMO system energy efficiency optimization method based on wireless energy transmission under hardware damage. The invention builds a large-scale MIMO system energy efficiency optimization method based on wireless energy transmission under a hardware damage condition; an admissible control mechanism is introduced while the QoS requirement of a user is ensured; an original non-linear fractional programming problem is simplified via equivalent conversion and variable replacement and finally converted into a convex optimization problem, and computation is performed by using a block coordinate descent method. The method provided by the invention has the advantages of low computation complexity and strong channel adaptation, and meanwhile ensures QoS constraint of the sensor node, so as to be particularly applicable to the large-scale MIMO system based on wireless energy transmission under the hardware condition.

Description

technical field [0001] The invention belongs to the field of resource allocation in massive MIMO systems, in particular, a method for resource allocation of joint power and time under hardware damage conditions in massive MIMO systems based on wireless energy transmission. Background technique [0002] Wireless devices such as wireless sensor networks are battery powered and require manual charging or battery replacement. Wired charging is currently the dominant method for battery recharging in wireless devices, but replacing batteries and charging them can often be costly or even impractical in many situations, such as in hazardous areas or in medical devices implanted in the body. At this time, wireless power transfer (WPT) has attracted the attention of radio research and prolongs the lifetime of energy-constrained networks. In traditional wireless transmission architectures, energy transmission is not efficient. Therefore, considering the use of massive multiple-input ...

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Problems solved by technology

[0005] G.Yang, C.K.Ho, R.Zhang and Y.L.Guan's literature "Throughput Optimization for Massive MIMO Systems Powered by Wireless Energy Transfer (throughput optimization of massive MIMO for wireless energy transfer)" IEEE Journal on Selected Areas in Communications, vol. 33, no.8, pp.1640-1650, Aug.2015. Researched the throughput maximization method of massive MIMO system based on wireless energy transmission, but did not consider the influence of hardware damage, nor the problem of system energy efficiency

Q.Wu, W.Chen, D.W.Kwan Ng, J.Li and R.Schober, "User Centric Energy Efficiency Maximization for Wireless Powered Communications" IEEE Transactions on Wireless Communications , vol.15, no. 10, pp.6898-6912, Oct.2016. Considering the energy efficiency of the joint power and time optimized wireless energy transfer system, but not considering the minimum signal-to-noise ratio requirement of each user, while considering The system model in this paper is

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