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Channel-Aware Device-to-Device Pairing for Collaborative Content Distribution

机译:通道感知的设备到设备配对以进行协作内容分发

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With the increasing penetration of smart devices, device-to-device (D2D) communications offer a promising paradigm to accommodate the ever-growing mobile traffic and unremitting demands. The redundant storage and communication capacities of smart devices can be exploited for collaborative content caching and distribution. In this work, we study the D2D pairing problem, which appropriately pairs a device requesting a content file with a nearby device which caches the requested file. First, we formulate the D2D pairing problem as an integer linear program (ILP). Due to the complexity of the problem, we further develop a heuristic channel-aware D2D pairing algorithm. Computer simulations are conducted to compare the channel-aware algorithm with the optimal solution, as well as a minimum distance-based algorithm and a random algorithm. We consider both the static scenario and the dynamic scenario with arrivals and departures of requesting and caching devices. The simulation results demonstrate that the channel-aware algorithm outperforms the random algorithm in terms of the total number of served D2D pairs and the average latency of served pairs.
机译:随着智能设备的日益普及,设备到设备(D2D)通信提供了一种有前途的范例,可以适应不断增长的移动业务量和不懈的需求。可以利用智能设备的冗余存储和通信功能来进行协作内容缓存和分发。在这项工作中,我们研究了D2D配对问题,该问题可以适当地将请求内容文件的设备与附近缓存请求文件的设备配对。首先,我们将D2D配对问题表述为整数线性程序(ILP)。由于问题的复杂性,我们进一步开发了一种启发式通道感知D2D配对算法。进行计算机仿真以将信道感知算法与最佳解决方案以及基于最小距离的算法和随机算法进行比较。我们考虑静态方案和动态方案,以及请求和缓存设备的到达和离开。仿真结果表明,信道感知算法在服务的D2D对总数和服务对的平均等待时间方面均优于随机算法。

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