A nonlinear optimized power control algorithm for multiuser cognitive networks

机译：多用户认知网络的非线性优化功率控制算法

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This paper presents the concepts of centralizing spectrum sharing scheme for cellular networks. We consider the scenario where the cognitive radio network is formed by secondary users with low power personal/portable devices and when both systems are operating simultaneously based on co-channel spectrum sharing. The goal of this paper is to study how to maximize the utilities of the cognitive network given certain interference limits to ensure QoS requirements of primary users. The power optimization problem is formulated as a nonlinear and convex problem. Then a Reduced Gradient Method (RGM) is implemented to solve this problem and find the answer. Our work provides a theoretical analysis on the power control performance that motivates further research on designing more practical transmission schemes in future cognitive networks.

机译：本文提出了集中化蜂窝网络频谱共享方案的概念。我们考虑以下情况：认知无线电网络由具有低功率个人/便携式设备的次级用户组成，并且两个系统都基于同频频谱共享同时运行。本文的目的是研究在给定一定干扰限制的情况下如何最大程度地发挥认知网络的效用，以确保主要用户的QoS要求。功率优化问题被表述为非线性凸问题。然后，实施了简化梯度法（RGM）以解决该问题并找到答案。我们的工作提供了有关功率控制性能的理论分析，从而推动了对在未来的认知网络中设计更实用的传输方案的进一步研究。

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来源
《Network Infrastructure and Digital Content, 2009. IC-NIDC 2009》|2009年|1-5|共5页
会议地点 Beijing(CN);Beijing(CN)
作者
Hao Junwei; Zu Yunxiao;
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School of Electronic Engineering, Beijing University of Posts and Telecommunications, China;

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cognitive networks; nonlinear optimized; power control;

机译：认知网络非线性优化功率控制;

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1. Multiuser Resource Allocation Optimization Using Bandwidth-Power Product in Cognitive Radio Networks [J] . Tachwali Yahia, Lo Brandon F., Akyildiz Ian F., Selected Areas in Communications, IEEE Journal on . 2013,第3期

机译：认知无线电网络中使用带宽功率积的多用户资源分配优化
2. Price-Based Power Control Algorithm in Cognitive Radio Networks Based on Monotone Optimization [J] . WANG Zheng-qiang, JIANG Ling-ge, HE Chen 上海交通大学学报（英文版） . 2015,第006期
3. Fast stochastic power control algorithms for nonlinear multiuser receivers [J] . Varanasi M.K., Das D. IEEE Transactions on Communications . 2002,第11期

机译：非线性多用户接收机的快速随机功率控制算法
4. A NONLINEAR OPTIMIZED POWER CONTROL ALGORITHM FOR MULTIUSER COGNITIVE NETWORKS [C] . Hao Junwei, Zu Yunxiao Proceedings of 2009 IEEE international conference on network infrastructure and digital content . 2009

机译：多用户认知网络的非线性优化功率控制算法
5. Area, power and performance optimization algorithms for elastic circuit control networks [D] . Kilada, Eliyah Wadie Ragi 2012

机译：弹性电路控制网络的区域，电力和性能优化算法
6. A Power Spectrum Maps Estimation Algorithm Based on Generative Adversarial Networks for Underlay Cognitive Radio Networks [O] . Xu Han, Lei Xue, Fucai Shao, 2020

机译：潜在认知无线网络的基于对抗网络的功率谱映射估计算法
7. Optimized Neural Network Using Differential Evolutionary and Swarm Intelligence Optimization Algorithms for RF Power Prediction in Cognitive Radio Network: A Comparative study [O] . Iliya Sunday, Goodyer E. N., Shell Jethro, 2014

机译：差分无线电和群体智能优化算法的神经网络在认知无线电网络中的射频功率预测

A nonlinear optimized power control algorithm for multiuser cognitive networks

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