Matching and exchange market based resource allocation in MIMO cognitive radio networks

Eduard Axel Jorswieck, Pan Cao
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引用次数: 18

Abstract

The paper proposes a novel distributed two-stage resource allocation technique for multiple-input multiple-output cognitive radio links operating within an environment of multiple multi-antenna primary links. Each primary link occupies exclusively part of the resources and offers the opportunity to coexistence. In the first stage, secondary links request primary resources and are either accepted or rejected based on the preferences of the primary links. In the second phase, primary links price their interference temperature and an iterative precoding optimization and price update algorithm is performed. We show the existence of equilibria by showing that the demand function fulfils the weak gross substitute property. Numerical simulations illustrate an example matching and resource allocation.
基于匹配和交换市场的MIMO认知无线网络资源分配
提出了一种新的多输入多输出认知无线电链路在多天线主链路环境下的分布式两阶段资源分配技术。每一个主要环节只占用一部分资源,并提供共存的机会。在第一阶段,辅助链接请求主要资源,并根据主要链接的首选项接受或拒绝。在第二阶段,主要链路对其干扰温度进行定价,并进行迭代预编码优化和价格更新算法。我们通过证明需求函数满足弱总替代性质来证明均衡的存在性。数值模拟说明了匹配和资源分配的实例。
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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