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QoS-Aware Admission Control and Resource Allocation for D2D Communications Underlaying Cellular Networks

机译:支持蜂窝网络的D2D通信的QoS感知准入控制和资源分配

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Device-to-Device (D2D) communications enable user equipments (UEs) in proximity to each other to exchange information by taking advantage of high data-rate and low energy consumption. When D2D transmissions share the radio resources with the cellular UEs, efficient admission control (AC) and radio resource allocation (RRA) strategies play a key-role in controlling the co-channel interference and allowing quality of service (QoS) provision to UEs. This paper proposes a novel joint AC and RRA strategy that provides long-term QoS support to cellular and D2D communications. The AC algorithm derives the best set of cellular and D2D links by maximizing the revenues of the service provider under QoS constraints. The RRA algorithm assigns the available channels and transmits powers to admitted users on the short-term, in order to maximize an average weighted sum-rate under the same QoS constraints of the AC. Due to the NP-hard nature of the optimization problem, we propose an AC greedy algorithm that achieves near-optimal results for reasonable numbers of D2D links. Then, we propose a low-complexity RRA algorithm that decouples channel and power allocation. Numerical results show that the proposed joint AC and RRA strategy outperforms existing frameworks by increasing up to 40% the number of satisfied cellular and D2D links and by reducing energy consumption by more than 50%.
机译:设备到设备(D2D)通信使彼此相邻的用户设备(UE)能够利用高数据速率和低能耗来交换信息。当D2D传输与蜂窝UE共享无线电资源时,有效的准入控制(AC)和无线电资源分配(RRA)策略在控制同信道干扰和允许向UE提供服务质量(QoS)方面起着关键作用。本文提出了一种新颖的AC和RRA联合策略,该策略可为蜂窝和D2D通信提供长期的QoS支持。 AC算法通过在QoS约束下最大化服务提供商的收入来推导最佳的蜂窝和D2D链路集。 RRA算法会分配可用信道,并在短期内将功率发送给允许的用户,以便在AC的相同QoS约束下最大化平均加权和率。由于优化问题的NP难性,我们提出了一种AC贪婪算法,该算法可为合理数量的D2D链接实现接近最佳的结果。然后,我们提出了一种低复杂度的RRA算法,该算法可解耦信道和功率分配。数值结果表明,拟议的AC和RRA联合策略通过将满足的蜂窝和D2D链路的数量增加多达40%,并将能耗降低了50%以上,从而优于现有框架。

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