期刊
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
卷 17, 期 5, 页码 2946-2960出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2018.2804943
关键词
Wideband channel estimation; millimeter wave MIMO; hybrid architecture
资金
- Agencia Estatal de Investigacin (Spain)
- European Regional Development Fund through the MYRADA Project [TEC2016-75103-C2-2-R]
- U.S. Department of Transportation through the Data-Supported Transportation Operations and Planning Tier 1 University Transportation Center
- Texas Department of Transportation through the Communications and Radar-Supported Transportation Operations and Planning Project [0-6877]
- National Science Foundation [NSF-CCF-1319556, NSF-CCF-1527079]
Channel estimation is useful in millimeter wave (mm-wave) MIMO communication systems. Channel state information allows optimized designs of precoders and combiners under different metrics, such as mutual information or signal-to-interference noise ratio. At mm-wave, MIMO precoders and combiners are usually hybrid, since this architecture provides a means to trade-off power consumption and achievable rate. Channel estimation is challenging when using these architectures, however, since there is no direct access to the outputs of the different antenna elements in the array. The MIMO channel can only be observed through the analog combining network, which acts as a compression stage of the received signal. Most of the prior work on channel estimation for hybrid architectures assumes a frequency-flat mm-wave channel model. In this paper, we consider a frequency-selective mm-wave channel and propose compressed sensing-based strategies to estimate the channel in the frequency domain. We evaluate different algorithms and compute their complexity to expose tradeoffs in complexity overhead performance as compared with those of previous approaches.
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