Hybrid Directional CR-MAC based on Q-Learning with Directional Power Control

Anil Carie; Mingchu Li; Chang Liu; Prakasha Reddy; Waseef Jamal

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Hybrid Directional CR-MAC based on Q-Learning with Directional Power Control

机译：基于Q学习的定向功率控制混合定向CR-MAC

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Abstract

In this paper, we investigate the Hybrid Directional CR-MAC based on Q-Learning with Directional Power Control in cognitive radio (CR) systems. In CR systems, nodes can switch to heterogeneous non-overlapping channels opportunistically which offer higher achievable throughput. However, the random channel selection policy in existing CR-MAC protocol has problems like delay, packet collisions, and quality of service. The proposed channel selection scheme which is quite different from the traditional scheme is adopted by nodes to achieve context awareness and intelligence for adaptive channel selection. The nodes select a channel based on the results learned by interactions with the other nodes and channels. The directional transmission power control scheme allows the nodes to reuse the channels subject to interference constraints. The simulation results show that nodes using the proposed algorithm can select channels adaptively and optimal transmission power which helps to achieve high throughput and minimized power consumption.

Highlights

•A cognitive radio concept is used to utilized channels in a more accurate way .

•Directional Hybrid control channel with GPS is used to exchange cognitive control information.

•Experimental results are carried out in context of proposed method in comparison with other existing schemes.

机译：

摘要

在本文中，我们研究了基于认知学习（CR）系统中基于Q学习的定向功率控制的混合定向CR-MAC。在CR系统中，节点可以机会切换到异构非重叠信道，从而提供更高的可实现吞吐量。然而，现有CR-MAC协议中的随机信道选择策略具有诸如延迟，分组冲突和服务质量的问题。节点采用与传统方案截然不同的拟议信道选择方案，以实现上下文感知和智能，以进行自适应信道选择。节点根据通过与其他节点和通道进行交互而获得的结果来选择通道。定向传输功率控制方案允许节点重用受干扰约束的信道。仿真结果表明，采用该算法的节点可以自适应地选择信道，并具有最佳的传输功率，有助于实现高吞吐量和最小化功耗。

突出显示

• 认知无线电概念用于更准确地利用频道。 • 带有GPS的定向混合控制通道用于交换认知控制信息。 / ce：para>

• 与其他现有方案相比，实验结果是根据拟议方法进行的。

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来源
《Future generation computer systems》 |2018年第4期|340-347|共8页
作者
Anil Carie; Mingchu Li; Chang Liu; Prakasha Reddy; Waseef Jamal;
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作者单位

School of Software, Dalian University of Technology;

School of Software, Dalian University of Technology;

School of Information and Communication Engineering, Dalian University of Technology;

Department of Informatics, College of Engineering and Technology, Wollega University T.R;

Center of Business Administration, Institute of Management Sciences;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
Software defined cognitive radio network; MAC protocol; Directional antennas; Software defined radio; Q-learning; Power control;

机译：软件定义的认知无线电网络;MAC协议;定向天线;软件定义的无线电;Q学习;功率控制;

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Hybrid Directional CR-MAC based on Q-Learning with Directional Power Control

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