Decoding interfering signals with fewer receiving antennas

Decoding interfering signals with fewer receiving antennas
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DOI:
10.1109/infocom.2016.7524403
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发表时间:
2016-04
期刊:
IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications
影响因子:
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通讯作者:
Zhao Li;Xiaoqin Dai;K. Shin
Zhao Li;Xiaoqin Dai;K. Shin
中科院分区:
其他
文献类型:
--
作者:
Zhao Li;Xiaoqin Dai;K. Shin

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由于大多数部署的无线网络的分层结构和异构性,使用相同通信资源(诸如频带和时隙)的多个数据传输可能发生在相同区域中。因此,干扰对于受干扰信号的解码变得至关重要。已经有许多处理干扰的技术可以在发射机、接收机或两者处实现,以支持同时的多用户传输。本文主要研究多个发射机同时向一个接收机发送数据的多址信道(MAC)中的接收设计。通过利用干扰信号之间的建设性/破坏性的相互作用,我们提出了一种基于干扰组合(ICom)结合迫零(ZF)和连续干扰消除(SIC)的接收机结构。所提出的接收机结构不需要在发射机侧进行协调,并且可以以适度的处理成本显著减少接收天线的数量。基于ICom的接收不仅能够在严格的延迟约束下实现系统频谱效率(SE)的显著提高,而且还能够在接收天线的要求和信号处理复杂度之间进行灵活的权衡,从而促进其实现和部署。
Due to the hierarchical structure and heterogeneity of most deployed wireless networks, multiple data transmissions using the same communication resource, such as frequency band and time slot, are likely to occur in the same area. Hence, interference becomes critical to the decoding of interfered signals. There have already been numerous techniques dealing with interferences that can be implemented either at the transmitter, the receiver or both, to support simultaneous multi-user transmissions. This paper focuses on the reception design in multiple access channels (MACs) where multiple transmitters send data to a common receiver simultaneously. By exploiting the constructive/destructive interactions among interfering signals, we propose a receiver structure based on interference combination (ICom) incorporating zero-forcing (ZF) and successive interference cancellation (SIC). The proposed receiver structure does not require coordination at the transmitter side and can significantly reduce the number of receiving antennas at a moderate processing cost. The ICom-based reception is shown to be able to not only achieve a significant improvement of system spectral efficiency (SE) under stringent latency constraints, but also make a flexible tradeoff between the requirement of receiving antennas and signal processing complexity, thus facilitating its implementation and deployment.