当前位置: X-MOL 学术Comput. Netw. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Joint access and backhaul resource allocation for D2D-assisted dense mmWave cellular networks
Computer Networks ( IF 5.6 ) Pub Date : 2020-10-17 , DOI: 10.1016/j.comnet.2020.107602
Xiangwen Dai , Jinsong Gui

Device-to-Device (D2D) communication technology is a promising solution to solve the problem that millimeter-wave (mmWave) signal propagation is vulnerable to blockage and thus rapidly weakened. However, after introducing in-band D2D communication to dense mmWave cellular networks, we must consider how to reasonably share resources and effectively control interference between more types of communication links (e.g., D2D, access, backhaul), which makes the resource allocation problem more challenging. In other words, it is more challenging to investigate joint access and backhaul resource allocation problem for in-band D2D-assisted dense mmWave cellular networks. To address this challenging problem, we firstly decouple it into the two sub-problems (i.e., joint access and backhaul resource allocation sub-problem, and joint D2D access and forwarding link resource allocation sub-problem). Then, we formulate the two sub-problems as the two non-cooperative games respectively and prove that they are exact potential game and there exist feasible pure strategy Nash equilibrium under some mild conditions. Finally, based on the formulated game models, we propose a centralized algorithm and a decentralized algorithm to get resource allocation results respectively. The extensive simulation results show that the proposed algorithms can effectively mitigate the impact of blockage on network performance.



中文翻译:

D2D辅助密集毫米波蜂窝网络的联合接入和回程资源分配

设备到设备(D2D)通信技术是解决毫米波(mmWave)信号传播容易受到阻塞并因此迅速减弱的问题的有前途的解决方案。但是,在向密集毫米波蜂窝网络引入带内D2D通信之后,我们必须考虑如何合理地共享资源并有效控制更多类型的通信链路(例如D2D,访问,回程)之间的干扰,这使资源分配问题更加严重。具有挑战性的。换句话说,研究带内D2D辅助密集mmWave蜂窝网络的联合接入和回程资源分配问题更具挑战性。为了解决这个具有挑战性的问题,我们首先将其分解为两个子问题(即联合访问和回程资源分配子问题,以及联合D2D访问和转发链接资源分配子问题)。然后,将这两个子问题分别表述为两个非合作博弈,证明它们是精确的潜在博弈,并且在某些温和条件下存在可行的纯策略纳什均衡。最后,基于制定的博弈模型,提出了集中式算法和分散式算法分别获得资源分配结果。大量的仿真结果表明,所提出的算法可以有效地缓解阻塞对网络性能的影响。基于制定的博弈模型,提出了集中式算法和分散式算法分别获得资源分配结果。大量的仿真结果表明,所提出的算法可以有效地缓解阻塞对网络性能的影响。基于制定的博弈模型,提出了集中式算法和分散式算法分别获得资源分配结果。大量的仿真结果表明,所提出的算法可以有效地缓解阻塞对网络性能的影响。

更新日期:2020-10-30
down
wechat
bug