Resource Allocation Under Channel Uncertainties for Relay-Aided Device-to-Device Communication Underlaying LTE-A Cellular Networks
Resource Allocation Under Channel Uncertainties for Relay-Aided Device-to-Device Communication Underlaying LTE-A Cellular Networks
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DOI：
10.1109/twc.2014.031314.131651
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发表时间：
2014-01
影响因子：
10.4
通讯作者：
M. Hasan;E. Hossain;Dong In Kim
中科院分区：
文献类型：
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作者：
M. Hasan;E. Hossain;Dong In Kim
蜂窝网络中的设备到设备（D2D）通信允许具有本地通信需求的两个蜂窝设备之间的直接传输。由于未来移动的网络中自治异构设备的数量不断增加，需要一种高效的资源分配方案来最大化网络吞吐量并实现更高的频谱效率。在本文中，网络集成D2D通信信道不确定性下的性能进行了研究，其中D2D业务进行通过中继节点。针对多用户多中继网络，提出了一种鲁棒的分布式资源分配方案，在其他中继节点干扰和链路增益不确定的情况下，以最大化网络总速率为目标.一个优化问题，制定在中继分配无线电资源，以最大限度地提高端到端的速率，以及满足服务质量（QoS）的要求，蜂窝和D2D用户设备的总功率约束。每一个不确定的参数建模的估计值和有界值之间的有界距离。我们证明了鲁棒性问题是凸的，并采用梯度辅助对偶分解算法以分布式方式分配无线电资源。最后，为了降低鲁棒性的成本，定义为减少可实现的和率，我们利用机会约束的方法来实现鲁棒性和最优性之间的权衡。数值结果表明，存在距离阈值，当与D2D对等体之间的直接通信相比时，超过该距离阈值，中继辅助的D2D通信显著地改善了网络性能。
Device-to-device (D2D) communication in cellular networks allows direct transmission between two cellular devices with local communication needs. Due to the increasing number of autonomous heterogeneous devices in future mobile networks, an efficient resource allocation scheme is required to maximize network throughput and achieve higher spectral efficiency. In this paper, performance of network-integrated D2D communication under channel uncertainties is investigated where D2D traffic is carried through relay nodes. Considering a multi-user and multi-relay network, we propose a robust distributed solution for resource allocation with a view to maximizing network sum-rate when the interference from other relay nodes and the link gains are uncertain. An optimization problem is formulated for allocating radio resources at the relays to maximize end-to-end rate as well as satisfy the quality-of-service (QoS) requirements for cellular and D2D user equipments under total power constraint. Each of the uncertain parameters is modeled by a bounded distance between its estimated and bounded values. We show that the robust problem is convex and a gradient-aided dual decomposition algorithm is applied to allocate radio resources in a distributed manner. Finally, to reduce the cost of robustness defined as the reduction of achievable sum-rate, we utilize the chance constraint approach to achieve a trade-off between robustness and optimality. The numerical results show that there is a distance threshold beyond which relay-aided D2D communication significantly improves network performance when compared to direct communication between D2D peers.