Virtual Resource Allocation in Virtualized Small Cell Networks with Physical-Layer Network Coding Aided Self-Backhauls
Virtual Resource Allocation in Virtualized Small Cell Networks with Physical-Layer Network Coding Aided Self-Backhauls
复制标题
具有物理层网络编码辅助自回程的虚拟化小型蜂窝网络中的虚拟资源分配
DOI：
10.3837/tiis.2017.08.005
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发表时间：
2017-08
影响因子：
1.5
通讯作者：
Hongbo Zhu
中科院分区：
文献类型：
--
作者：
Yulun Cheng;Longxiang Yang;Hongbo Zhu
虚拟化小蜂窝网络是一种很有前途的网络结构，可以实现网络资源的高效利用。然而，传统的全双工自回传会导致残留的自干扰，从而限制了网络的性能。为了解决这一问题，本文提出了一种虚拟资源分配方案，该方案采用物理层网络编码（PNC）辅助自回程方案，充分利用了剩余的自干扰。将PNC的特征表述为时隙约束和信息率约束，在此基础上将虚拟资源分配表述为混合组合优化问题。为了有效地求解该问题，将其分解为两个子问题，并据此开发了一种两阶段迭代算法。该算法利用PNC速率约束的上界对第一个子问题进行逼近，并将其转化为一个凸问题。在此基础上，还证明了第二个子问题的凸性。仿真结果表明，该方案在自回溯收益和网络资源利用率方面均优于传统方案。
Virtualized small cell network is a promising architecture which can realize efficient utilization of the network resource. However, conventional full duplex self-backhauls lead to residual self-interference, which limits the network performance. To handle this issue, this paper proposes a virtual resource allocation, in which the residual self-interference is fully exploited by employing a physical-layer network coding (PNC) aided self-backhaul scheme. We formulate the features of PNC as time slot and information rate constraints, and based on that, the virtual resource allocation is formulated as a mixed combinatorial optimization problem. To solve the problem efficiently, it is decomposed into two sub problems, and a two-phase iteration algorithm is developed accordingly. In the algorithm, the first sub problem is approximated and transferred into a convex problem by utilizing the upper bound of the PNC rate constraint. On the basis of that, the convexity of the second sub problem is also proved. Simulation results show the advantages of the proposed scheme over conventional solution in both the profits of self-backhauls and utility of the network resource.
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DOI：
10.1109/twc.2013.040413.120676
发表时间：
2013-06-01
影响因子：
10.4
作者：
Ye, Qiaoyang;Rong, Beiyu;Andrews, Jeffrey G.
通讯作者：
Andrews, Jeffrey G.
影响因子：
10.4
作者：
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通讯作者：
Kountouris, Marios
影响因子：
11.2
作者：
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DOI：
10.1109/wmnc.2010.5678740
发表时间：
2010-12
期刊：
WMNC2010
影响因子：
--
作者：
Y. Zaki;Liang Zhao;C. Görg;A. Timm-Giel
通讯作者：
Y. Zaki;Liang Zhao;C. Görg;A. Timm-Giel
影响因子：
8.1
作者：
Hoydis, Jakob;Kobayashi, Mari;Debbah, Merouane
通讯作者：
Debbah, Merouane