2018
DOI: 10.1007/s11432-018-9591-8
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Energy- and spectral-efficiency of zero-forcing beamforming in massive MIMO systems with imperfect reciprocity calibration: bound and optimization

Abstract: In a time-division duplex (TDD) system with massive multiple input multiple output (MIMO), channel reciprocity calibration (RC) is generally required in order to cope with the reciprocity mismatch between the uplink and downlink channel state information. Currently, evaluating the achievable spectral efficiency (SE) and energy efficiency (EE) of TDD massive MIMO systems with imperfect RC (IRC) mainly relies on exhausting Monte Carlo simulations and it is infeasible to precisely and concisely quantify the achie… Show more

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Cited by 5 publications
(1 citation statement)
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“…The ZF processing was considered at the relay and the asymptotic EE and SE expressions were derived in an analytical manner with the relay antenna count attaining in nity. Liu et al [35] have proposed a new technique for tight holding of massive MIMO having ZF beamforming under Imperfect Reciprocity Calibration (IRC). Depending on the analytical outcomes, key insights were described for modelling the practical system in three ways such as the SE loss bound, SE saturation region, and interference power scaling rule.…”
Section: A Related Workmentioning
confidence: 99%
“…The ZF processing was considered at the relay and the asymptotic EE and SE expressions were derived in an analytical manner with the relay antenna count attaining in nity. Liu et al [35] have proposed a new technique for tight holding of massive MIMO having ZF beamforming under Imperfect Reciprocity Calibration (IRC). Depending on the analytical outcomes, key insights were described for modelling the practical system in three ways such as the SE loss bound, SE saturation region, and interference power scaling rule.…”
Section: A Related Workmentioning
confidence: 99%