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User Selection and Multiuser Widely Linear Precoding for One-Dimensional Signalling
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DOI：10.1109/TVT.2018.2872881.png)
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Abstract
En 中文
Emergence of ultradense networks in SC communications, Internet of things, and eHealth devices prompts us to develop new communication techniques that can support a large number of low data rate devices. In particular, it has been shown that when the data are real-valued and the observation is complex-valued, widely linear (WL) estimation can be employed in lieu of linear estimation to improve the performance. With these motivations, we study user selection and transmit precoding in multiuser communication systems assuming transmitted signals are one-dimensionally modulated. A closed-form solution for widely linear maximum signal-to lea kage-a nd-noise ratio precoding is obtained. We also investigate the design of WL maximum ratio transmission, WL zero-forcing, and WL minimum mean square error precoding techniques. Furthermore, to enable an increased number of communication devices, a user selection algorithm compatible with widely linear processing of one-dimensionally modulated signals is proposed. The proposed user selection algorithm can potentially double the number of simultaneously selected users compared to that of conventional user selection methods.
Keywords:
Broadcast channels
co-channel interference
multiuser communications
scheduling
semi orthogonal user selection
transmit beamforming
widely linear processing
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