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Optimal Pricing and Load Sharing for Energy Saving With Cooperative Communications

机译:最优定价和负载分担,通过协作通信实现节能

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摘要

Cooperative communications has long been proposed as an effective method for reducing the energy consumption of the mobile terminals (MTs) in wireless cellular networks. However, it is hard to implement due to the lack of incentives for the MTs to cooperate. In this paper, we propose a pricing mechanism to incentivize the uplink cooperative communications for the energy saving of MTs. We first consider the ideal case of MTs’ full cooperation under complete information. For this scenario as the benchmark case, where the private information of the helping MTs such as the channel and battery conditions is completely known by the source MT, the problem is formulated as a relay selection problem. Then, for the practical case of partial cooperation with incomplete information, the MTs need to cooperate under the uncertainties of the helping MTs’ channel and battery conditions. For this scenario, we propose a partial cooperation scheme with pricing where a source MT in low-battery level or bad channel condition is allowed to select and pay another MT in proximity to help forward its data to the base station (BS). We formulate the source MT’s pricing and load sharing problem as an optimization problem. Efficient algorithms based on dichotomous search and alternative optimization are proposed to solve the problem for the cases of splittable and nonsplittable data at the source MT, respectively. Finally, extensive numerical results are provided to show that our proposed cooperative communications scheme with pricing can significantly decrease both the communications and battery outages for the MTs, and can also increase the average battery level during the MTs’ operation.
机译:长期以来,合作通信一直被认为是减少无线蜂窝网络中移动终端(MT)能耗的有效方法。但是,由于缺乏MT合作的动力,很难实施。在本文中,我们提出了一种定价机制,以激励上行协作通信以节省MT。我们首先考虑在完整信息下MT充分合作的理想情况。对于作为基准情况的这种情况,源MT完全了解帮助MT的私有信息(例如信道和电池状况),则将该问题表述为中继选择问题。然后,对于部分合作且信息不完整的实际情况,MT需要在帮助MT的渠道和电池条件不确定的情况下进行合作。对于这种情况,我们提出了一种带有价格的部分合作方案,其中允许电池电量低或信道状况不佳的源MT选择并支付附近的另一个MT,以帮助将其数据转发到基站(BS)。我们将来源MT的定价和负载分配问题公式化为优化问题。提出了基于二分搜索和替代优化的高效算法,分别解决了源MT处可拆分和不可拆分数据的问题。最后,大量的数值结果表明,我们提出的带定价的协作通信方案可以显着减少MT的通信和电池故障,还可以提高MT运作期间的平均电池电量。

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