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Policy-based pricing for heterogeneous wireless access networks

機譯：異構(gòu)無線接入網(wǎng)絡(luò)的基于策略的定價

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Our cities are already covered by a myriad of diverse wireless access networks. The most ubiquitous access networks are the well organized homogeneous and centralized operator-based cellular networks\udthat sustain their business model on a captive client basis. However, a\udnew billing paradigm is rising, where a client can choose to connect to the\udprovider that best comply with his/her current requirements and context.\udInside this paradigm, this paper presents a distributed, rule-based pricing strategy aimed to improve the quality of service and to increase the global income of a service provider. The performance and reliability\udof the rule-based decisions is supported by a Finite State Transducersbased inference machine specially designed to manage networking systems. We show, with simulations, that, using our strategy, the operators can make the new billing paradigm profitable while the clients benefit\udfrom the economic advantages of competition and of the quality given by a pricing–based network balance mechanism.
機譯：我們的城市已經(jīng)被各種各樣的無線接入網(wǎng)絡(luò)所覆蓋。最為普遍的接入網(wǎng)是組織良好的同類且集中的基于運營商的蜂窩網(wǎng)絡(luò)，該網(wǎng)絡(luò)可以在專屬客戶的基礎(chǔ)上維持其業(yè)務(wù)模型。但是，新的計費范式正在興起，客戶可以選擇連接到最能滿足其當(dāng)前要求和上下文的\ udprovider。\ ud在此范式內(nèi)，本文提出了一種基于規(guī)則的分布式定價策略提高服務(wù)質(zhì)量并增加服務(wù)提供商的全球收入?；谝?guī)則的決策的性能和可靠性由專門設(shè)計用于管理網(wǎng)絡(luò)系統(tǒng)的基于有限狀態(tài)傳感器的推理機支持。通過仿真，我們表明，使用我們的策略，運營商可以使新的計費范式有利可圖，而客戶則可以從競爭的經(jīng)濟優(yōu)勢和基于定價的網(wǎng)絡(luò)平衡機制提供的質(zhì)量中受益。

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