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Contracts for Joint Downlink and Uplink Traffic Offloading With Asymmetric Information

机译:具有非对称信息的联合下行链路和上行链路流量卸载的合同

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Motivating the potential offloading nodes (PONs) to cooperate with the offloading request nodes (ORNs) is an essential issue of traffic offloading in 5G. Nevertheless, in the coupled traffic offloading case where the PONs' uplink and downlink channel state information (CSI) of both the access and fronthault links is unknown to the ORNs, it is very difficult for the ORNs to provide an appropriate reward which is consistent with the PONs' effort. In this paper, we propose a contract-based framework to tackle this challenge, where the PONs are agents characterized by a two-tuple type, while the ORNs are the principles providing contracts in the form of (offloading quality, monetary reward). Since it is a tradeoff between offloading quality and monetary reward, when designing the contract, the ORN integrates these two factors into the offloading utility function, and then optimizes the utility under the constraints of individual rationality and incentive compatibility conditions. Through mathematical analysis, the necessary and sufficient conditions of the formulated problem for the one-ORN scenario is simplified. Then a gradient descent algorithm is proposed to find the optimal solutions, i.e., the optimal contract. Furthermore, the study on the PON cooperation stimulation problem is extended to the multi-ORN scenario, where the decision-making process of the ORNs and the PONs is formulated into a matching game. To find the stable solution to the matching game, a revised deferred acceptance algorithm is proposed and then proved to be convergent and have low computational complexity. Simulation results demonstrate that the proposed scheme achieves higher offloading utility and energy efficiency compared with the existing schemes.
机译:激励潜在的卸载节点(PONS)与卸载请求节点(ORN)合作(ORN)是5G中流量卸载的基本问题。然而,在耦合的流量卸载情况下,访问和Fronthault链路的PON'上行链路和下行链路信道状态(CSI)对ORNS未知,ORN非常困难提供与之一致的适当奖励PONS的努力。在本文中,我们提出了一种基于合同的框架来解决这一挑战,其中PON是由两元组织为特征的代理,而ORN是以(卸载质量,货币奖励)的形式提供合同的原则。由于它是卸载质量和货币奖励之间的权衡,因此在设计合同时,ORN将这两个因素集成到卸载实用程序功能中,然后在个人合理性和激励兼容性条件的约束下优化该实用程序。通过数学分析,简化了一个ORN场景的所写问题的必要和充分条件。然后提出了一种梯度下降算法来查找最佳解决方案,即最佳合同。此外,对PON合作刺激问题的研究延伸到多ORN场景,其中ORNS和PON的决策过程被配制到匹配游戏中。为了找到匹配游戏的稳定解决方案,提出了一种修改的延迟验收算法,然后证明是收敛的并且具有低计算复杂性。仿真结果表明,与现有方案相比,该方案达到了更高的卸载效用和能效。

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