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Optimisation of a TV White Space Broadband Market Model for Rural Entrepreneurs

机译:农村企业家电视空白空间宽带市场模型的优化

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Leveraging on recent TV white space communications developments in reg-ulations, standards initiatives and technology, this paper considers a suitable next generation network comprising of two primary users (PUs) that compete to offer a service to a group of secondary users (SUs) in the form of mesh routers that belong to different entrepreneurs participating in a non-cooperative TV white space trading. From a game theoretic perspective the non-cooperative interaction of the PUs is viewed as a pricing problem wherein each PU strives to maximize its own profit. Subsequently the problem is formulated as a Bertrand game in an oligopolistic market where the PUs are players who are responsible for selling TV white spectrum in the market while the SUs are the players who are the buyers of the TV white spectrum. The PUs strategise by way of price adjustment, so much such that SUs tend to favour the lowest price when buying. The inter- operator agreements are based on the delay and throughput QoS performance optimization metrics respectively. A performance evaluation of both models is comparatively performed with regards to parameters such as cost, generated revenue, profit, best response in price adjustments and channel quality. The throughput based analytic model fares better in terms of providing channel quality as it has a better strategy which is a decreased price value.
机译:借助最新的电视空白空间通信在法规,标准计划和技术方面的发展,本文考虑了一个合适的下一代网络,该网络由两个主要用户(PU)组成,两个主要用户(PU)竞争为一组次要用户(SU)提供服务属于参与非合作电视空白空间交易的不同企业家的网状路由器的形式。从博弈论的角度来看,PU的非合作交互被视为定价问题,其中每个PU都在努力使自己的利润最大化。随后,该问题被公式化为寡头市场中的Bertrand游戏,其中PU是负责在市场上出售电视白频谱的参与者,而SU则是电视白频谱的购买者。 PU通过价格调整来制定策略,以至于SU在购买时倾向于倾向于最低价格。运营商间协议分别基于延迟和吞吐量QoS性能优化指标。相对于参数(例如成本,产生的收入,利润,价格调整的最佳响应和渠道质量),对这两个模型进行了性能评估。基于吞吐量的分析模型在提供信道质量方面表现更好,因为它具有更好的策略,即降低了价格价值。

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