Antenna selection and power distribution scheme of energy collection large-scale antenna array system

Abstract

In the invention, how to combine energy collection with a large-scale multi-antenna system is studied, so that the energy efficiency is obviously improved, and meanwhile, the requirements of actual limiting causal relationships such as energy and the like, RF chain energy consumption, limited battery capacity, transmission power and QoS (Quality of Service) are met. From a deterministic offline hypothesis, a field of view with limited united antenna selection and power distribution problems is formulated, which is due to the combined NP difficult property. We propose a nonlinear offline algorithm-combined fractional programming, dichotomy and Lagrangian dual decomposition, which is the performance reference. Then, comprehensive property analysis is provided, and an offline algorithm is provided from the aspects of optimality, convergence, uniqueness and complexity. By exploring a solution structure of an offline algorithm, we propose low-complexity causal knowledge of a suboptimal online algorithm which is only needed. And finally, the proposed offline and online algorithms pass simulation verification and comparison of various system configurations.

Description

[0001] Technical field: [0002] The invention belongs to the field of wireless communication, and specifically relates to a resource allocation algorithm that is applied in a scenario of a large-scale antenna array system based on energy harvesting to formulate joint antenna selection and power allocation problems in a limited field of view for joint optimization, which can ensure energy harvesting and large-scale Scale antenna array system integration to significantly improve energy efficiency while meeting practical constraints such as energy causality, RF chain energy consumption, limited battery capacity, transmit power, and quality of service (QoS) requirements. [0003] Background technique: [0004] With the continuous development of wireless communication technology, the demand for high-speed data services and ubiquitous access is showing an explosive growth. For the rapidly developing data traffic and users' demand for bandwidth, it is difficult for the existing multi...

AI Technical Summary

Problems solved by technology

In particular, the optimal use of resources depends on future energy arrivals, for which accurate knowledge is often not available

Second, the intermittent and fluctuating nature of renewable energy sources and capacity-constrained energy storage devices can lead to occasional Quality of Service (QoS) violations

A more feasible approach is to simultaneously utilize unreliable renewable energy sources and reliable grid power in a complementary manner, which further complicates the problem of joint antenna selection and power allocation

[0006] Antenna selection techniques for traditional antenna array systems are mostly only effective for systems with constant grid power, and cannot be directly applied to energy harvesting scenarios with dynamic energy arrival

Most of the previous research work only focused on the power allocation problem in the system with a limited number of antennas

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