Linear Precoding based on Minimum Mean Square Error in MISO Downlink Cognitive Radio Network

DOI

10.2991/esac-15.2015.77How to use a DOI?

Keywords

Cognitive Radio (CR), Precoding, Noise and interference driven, Multiuser channels interference

Abstract

Conventionally, linear precoding methods in a Cognitive Radio (CR) Multiple Input Multiple Output (MIMO) network mainly aim to cancel the interference received by cognitive Users (SUs) completely, and most of time, the effect of noise often be ignored. To achieve superior performance of the CR system, this paper presents two novel precoding methods from the perspective of utilizing interference and noise, namely Cognitive Radio Minimum Mean Square Error Partial Linear Precoding (CR-MMSE-PLP) and Cognitive Radio Minimum Mean Square Error Phase Alignment Linear Precoding (CR-MMSE-PALP). The theoretical analysis and simulation results show that these two methods both enhance the Signal to Interference and Noise Ratio (SINR) through taking advantage of constructive interference and noise. Contrary to CR-MMSE-PLP where the destructive interference is zeroed, CR-MMSE-PALP rotates and converts it into constructive part. Then less Symbol Error Rate (SER) and enhanced information transmission rate are achieved with lower computational complexity.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shunran Wang
AU  - Yanhui Lu
AU  - Duanyang Li
PY  - 2015/08
DA  - 2015/08
TI  - Linear Precoding based on Minimum Mean Square Error in MISO Downlink Cognitive Radio Network
BT  - Proceedings of the 2015 International Conference on Electronic Science and Automation Control
PB  - Atlantis Press
SP  - 316
EP  - 322
SN  - 2352-538X
UR  - https://doi.org/10.2991/esac-15.2015.77
DO  - 10.2991/esac-15.2015.77
ID  - Wang2015/08
ER  -