2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) 2016
DOI: 10.1109/pimrc.2016.7794689
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Linear baseband precoding strategies for millimeter wave MIMO multi-X channels

Abstract: This paper focuses on the design of linear baseband precoding and combining techniques for millimeter wave (mmWave) multiple input multiple output (MIMO) backhaul networks. We consider a scenario known as MIMO multi-X channel with L transmitter base stations and K receiver base stations, each equipped with multiple antennas, where each transmitter base station communicates simultaneously with all receiver base stations. The extremely short wavelength of mmWave requires the use of large antenna arrays at the ba… Show more

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Cited by 5 publications
(5 citation statements)
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“…To achieve better performance, hybrid analog-digital solutions were suggested e.g. in [3]- [7]. In our papers [6], [7], we focused on the digital step of the hybrid analog-digital BF.…”
Section: Introductionmentioning
confidence: 99%
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“…To achieve better performance, hybrid analog-digital solutions were suggested e.g. in [3]- [7]. In our papers [6], [7], we focused on the digital step of the hybrid analog-digital BF.…”
Section: Introductionmentioning
confidence: 99%
“…in [3]- [7]. In our papers [6], [7], we focused on the digital step of the hybrid analog-digital BF. Our approaches exploit block diagonalization and MMSE techniques that require full channel state information (CSI) [6] or a partial CSI [7].…”
Section: Introductionmentioning
confidence: 99%
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“…This scenario can be understood as a multi-point to multipoint case (MPTTMP) and is referred as K-user MIMO X network in the literature [10]. Unlike the precoding schemes based on decomposing the K-user MIMO X network [11] , we first propose a simple yet efficient fully digital scheme based on dominant eigen-mode transmission (DET) and MMSE combining at each Tx and Rx, respectively. This scheme cancels interference at the Rx and is referred to as DET-MMSE in the following.…”
Section: B Ptmpmentioning
confidence: 99%
“…A good overview of the state of the art can be found in [5]. Most beamforming algorithms require channel-state information to cancel the interferences [6]. To measure and to feedback the channel, however, ties up radio resources, which makes channel estimation expensive for large antenna arrays [7].…”
Section: Introductionmentioning
confidence: 99%