Power and spectrum allocation for network coded primary-secondary cooperation in cognitive radio networks

2014 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2014-12-01 DOI:10.1109/GLOCOMW.2014.7063538

Zhihui Liu, Wenjun Xu, Shengyu Li, Xiao-han Lu, Jiaru Lin

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引用次数: 4

Abstract

It has become a research hotspot that the secondary user (SU) utilizes the frequency bands from primary users (PUs) while assisting PUs with data transmission in cognitive radio networks (CRNs). In this paper, a new cooperation paradigm is studied in cognitive multicast networks, in which one SU assists the data communication of two PUs simultaneously to harvest multiple spectrum access opportunities. Meanwhile, network coding is also employed to compress two PUs' transmission data and improve the resource utilization. Specially, the design of the network coding-based cooperation transmission is formulated as a joint power and spectrum allocation problem. The problem aims at maximizing SU's achievable transmission rate and guaranteeing the minimum transmission rate requirements of both PUs. To solve the problem efficiently, a finely-matched algorithm is proposed by exploiting the Karush-Kuhn-Tucker (KKT) conditions. Simulation results show the proposed network-coding-based primary-secondary cooperation can improve significantly the secondary transmission rate.

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认知无线电网络编码主次合作的功率和频谱分配

在认知无线网络中，辅助用户利用主用户的频段协助主用户进行数据传输已成为研究热点。在认知组播网络中，研究了一种新的协作模式，其中一个SU同时协助两个pu进行数据通信，以获得多个频谱访问机会。同时，还采用网络编码对两个处理器之间的传输数据进行压缩，提高了资源利用率。特别地，将基于网络编码的协同传输设计表述为功率和频谱的联合分配问题。该问题的目标是最大限度地提高SU的可实现传输速率，同时保证两个pu的最小传输速率要求。为了有效地解决这一问题，利用KKT条件提出了一种精细匹配算法。仿真结果表明，所提出的基于网络编码的主从协作可以显著提高二次传输速率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2014 IEEE Globecom Workshops (GC Wkshps)

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