基于吞吐量的住宅基站激励措施

Rocco Di Taranto, C. Rosenberg
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引用次数: 3

摘要

摘要)我们研究一个简单的基于吞吐量的激励机制,可以说服家庭用户安装住宅家庭基站(通过提供他们一个率α> 1倍的平均利率受到用户与宏观经济相关基站),避免大部分的搭便车者的诅咒(也就是说,自私用户谁改善服务仅仅因为别人投资毫微微技术),最后,有益于用户和运营商,b)我们提出了一种启发式方法来计算支持该激励方案的资源分配。我们表明,即使在我们的激励机制下,网络运营商将其许可频道池K分配给一定数量的femto小区也是具有成本效益的。我们首先研究一个静态场景,其中包含固定数量的宏用户和femto用户。我们确定了奖励femto用户而不损害宏观用户的激励参数α的取值范围,并量化了不同情况下宏观和femto用户的吞吐量增益。然后,我们考虑了一个动态场景,其中用户数量和活跃的飞基站数量不断变化,我们提出了一个简单而非常准确的启发式方法,用于在宏基站收集的信息量最少的情况下计算K。我们的数值结果表明,通过使用我们提出的方法,宏和femto用户都比纯宏细胞场景中更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Throughput-based incentives for residential femtocells
In this paper, a) we investigate a simple throughput based incentive mechanism that could convince home users to install residential femtocells (by offering them a rate which is α > 1 times higher than the average rate received by a user associated with the macro base station), avoid most of the curse of free riders (i.e., selfish users who gets improved service just because others are investing in femto technology) and, at the end, be beneficial to both the users and the operator, and b) we propose a heuristic to compute the resource allocation supporting this incentive scheme. We show that it is cost-effective for a network operator to allocate a pool K of its licensed channels to a certain number of femto cells, even under our incentive mechanism. We first study a static scenario with fixed numbers of macro and femto users. We identify the range of values of the incentive parameter α that can be supported to reward femto users without harming macro users and we quantify the throughput gains for both macro and femto users in different situations. Then, we consider a dynamic scenario, where the number of users and the number of active femtocells change continuously, and we propose a simple and very accurate heuristic for computing K with a minimal amount of information to be collected at the macro base station. Our numerical results show that by using our proposed approach both macro and femto users are better off than in a pure macrocellular scenario.
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