Cooperative Interference Neutralization in Multi-Hop Wireless Networks

Cooperative Interference Neutralization in Multi-Hop Wireless Networks
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DOI:
10.1109/tcomm.2017.2768066
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发表时间:
2018-02
影响因子:
8.3
通讯作者:
Huacheng Zeng;Xiaoqi Qin;Xu Yuan;Yi Shi;Y. T. Hou;Wenjing Lou
Huacheng Zeng;Xiaoqi Qin;Xu Yuan;Yi Shi;Y. T. Hou;Wenjing Lou
中科院分区:
计算机科学2区
文献类型:
--
作者:
Huacheng Zeng;Xiaoqi Qin;Xu Yuan;Yi Shi;Y. T. Hou;Wenjing Lou

文献摘要

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干扰抵消被认为是一种很有前途的多跳无线网络干扰管理技术。然而,大多数现有的研究结果仅限于两跳网络,如中继辅助蜂窝网络。到目前为止,在通用多跳(两跳以上)网络中的IN探索方面取得的进展很少。本文的目的是弥合这一差距,开发一个通用的多跳网络中的IN的优化框架,其目标是最大限度地提高多个共存的通信会话的端到端的吞吐量。本文首先推导了智能网在单跳网络中的数学模型,并将其推广到多跳网络中。基于IN模型,我们开发了一个跨层优化框架的多跳网络的目标是充分翻译的好处IN的多跳会话的端到端的吞吐量。为了评估IN在多跳网络中的性能,我们将其性能与不使用IN的情况进行比较。仿真结果表明,使用IN可以显着(超过50%)增加会话吞吐量,更值得注意的是,吞吐量增益的IN增加节点密度和网络中的业务强度。
Interference neutralization (IN) is regarded as a promising interference management techniques for multi-hop wireless networks. Yet most existing results of IN are limited to two-hop networks such as the relay-aided cellular network. Little progress has been made so far in the exploration of IN in generic multi-hop (more than two hops) networks. This paper aims to bridge this gap by developing an optimization framework for IN in a generic multi-hop network with the objective of maximizing the end-to-end throughput of multiple coexisting communication sessions. We first derive a mathematical model for IN in a special one-hop network to characterize the capability of IN, and then generalize this model to a multi-hop network. Based on the IN model, we develop a cross-layer optimization framework for a multi-hop network with the objective of fully translating the benefits of IN to the end-to-end throughput of the multi-hop sessions. To evaluate the performance of IN in multi-hop networks, we compare its performance against the case where IN is not employed. Simulation results show that the use of IN can significantly (more than 50%) increase the session throughput and, more notably, the throughput gain of IN increases with the node density and traffic intensity in the network.