Incentivizing sharing in realtime D2D streaming networks: A mean field game perspective
Incentivizing sharing in realtime D2D streaming networks: A mean field game perspective
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DOI：
10.1109/infocom.2015.7218597
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发表时间：
2015-08
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影响因子：
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通讯作者：
Jian Li;Rajarshi Bhattacharyya;Suman Paul;S. Shakkottai;V. Subramanian
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作者：
Jian Li;Rajarshi Bhattacharyya;Suman Paul;S. Shakkottai;V. Subramanian
我们考虑将直播内容流传输到一组位于同一位置的无线设备的问题，这些无线设备既具有昂贵的单播基站到设备（B2D）接口，也具有廉价的广播设备到设备（D2D）接口，可以同时使用。我们的设置是一个流系统，它使用逐块随机线性编码方法，以最小的B2D使用量实现准时交付的目标百分比。我们的目标是设计一个激励框架，在确保良好服务质量的同时，促进跨设备的这种合作。基于从诚实拍卖中获得的想法，我们设计了一种机制，通过适当的转移（货币支付或回扣）在大量设备的设置中实现这一目标，并且有同伴到达和离开。在这里，我们展示了平均场博弈可以用来精确地近似我们的系统。此外，在这种情况下，计算最佳对策的复杂性很低。我们在Android测试平台上实现了该系统，并通过真实世界的实验说明了其高效的性能。
We consider the problem of streaming live content to a cluster of co-located wireless devices that have both an expensive unicast base-station-to-device (B2D) interface, as well as an inexpensive broadcast device-to-device (D2D) interface, which can be used simultaneously. Our setting is a streaming system that uses a block-by-block random linear coding approach to achieve a target percentage of on-time deliveries with minimal B2D usage. Our goal is to design an incentive framework that would promote such cooperation across devices, while ensuring good quality of service. Based on ideas drawn from truth-telling auctions, we design a mechanism that achieves this goal via appropriate transfers (monetary payments or rebates) in a setting with a large number of devices, and with peer arrivals and departures. Here, we show that a Mean Field Game can be used to accurately approximate our system. Furthermore, the complexity of calculating the best responses under this regime is low. We implement the proposed system on an Android testbed, and illustrate its efficient performance using real world experiments.