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Optimal distributed power allocation for a new spectrum sharing paradigm in cognitive radio networks

ISSN号：1005-8885
期刊名称：《中国邮电高校学报：英文版》
时间：0
分类：TP308[自动化与计算机技术—计算机系统结构;自动化与计算机技术—计算机科学与技术] TN929.53[电子电信—通信与信息系统;电子电信—信息与通信工程]
作者机构：[1]School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
相关基金：This work was supported by the National Natural Science Funds of China for Young Scholar （61001115）, the Fundamental Research Funds for the Central Universities of China （2012RC0126, 2011RC0110）.

作者： ZHANG Xiao-liang[1], JI Hong[1], LI Xi[1], DAI Li-yun[2]

关键词：异构无线网络, 网络选择, 多属性拍卖, 移动用户, 乘法, 使用成本, 参数定义, 下一代网络, multiplicative multi-attribute auction, network selection, user＇s performance-cost-ration, network load intensity

中文摘要：

下一代网络的显著特征之一是异构的无线网络的集成，它无缝地与最好的可得到的网络的多模式终端存取启用活动用户。然而，大多数以前的工作仅仅考虑最大化单身的用户的用途或整个网络的发薪的任何一个，很少考虑在他们之间的协商。在这份报纸，我们用改进趋于增加的多属性拍卖(MMA ) 建议一条新奇网络选择途径。起初，一个改进 MMA 方法被提出定义用户的用途。另外，用户费用被考虑分配了带宽，网络负担紧张和费用因素参数定义。并且上次，最好的合适的网络根据用户的 performance-cost-ration 被选择。模拟结果证实建议计划以网络选择的公平，用户的 performance-cost-ration，负担平衡和提供的用户的数字超过存在计划。

英文摘要：

One of the remarkable features of the next generation network is the integration of heterogeneous wireless networks, which enables mobile users with multi-mode terminals access to the best available network seamlessly. However, most of previous work only takes account of either maximizing single user＇s utility or the whole network＇s payoff, rarely considers the negotiation between them. In this paper, we propose a novel network selection approach using improved multiplicative multi-attribute auction （MMA）. At first, an improved MMA method is put forward to define the user＇s utility. Additionally, user cost is defined by considering allocated bandwidth, network load intensity and cost factor parameter. And last the best suitable network is selected according to the user＇s performance-cost-ration. Simulation results confirm that the proposed scheme outperforms the existing scheme in terms of network selection＇s fairness, user＇s performance-cost-ration, load balancing and the number of accommodated users.