2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC) 2014
DOI: 10.1109/pimrc.2014.7136237
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Joint fixed beamforming and eigenmode precoding for super high bit rate massive MIMO systems using higher frequency bands

Abstract: In order to tackle rapidly increasing traffic, the 5th generation (5G) mobile communication system will introduce small cells using higher frequency bands with wider bandwidth to achieve super high bit rate transmission of several tens Gbps. Massive MIMO beamforming (BF) is one of promising technologies to compensate for larger path-loss in the higher frequency bands. Joint analog fixed BF and digital precoding has been proposed to reduce the cost of a Massive MIMO transceiver. However, the conventional scheme… Show more

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Cited by 44 publications
(20 citation statements)
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“…Although the estimation of such information plays an important role for designing the transmitter, we assume perfect knowledge of the transmitted angles at the BS. It chooses a set of paths by estimating the M strongest ones [22] and determines the phase-shifter values according to the steering vector of the chosen directions. This approach is attractive because the steering vector naturally meets the constant modulus restriction since the amplitude of each element is equal as shown in Eq.…”
Section: The Covariance Matrix Of the Symbols Is E[ssmentioning
confidence: 99%
“…Although the estimation of such information plays an important role for designing the transmitter, we assume perfect knowledge of the transmitted angles at the BS. It chooses a set of paths by estimating the M strongest ones [22] and determines the phase-shifter values according to the steering vector of the chosen directions. This approach is attractive because the steering vector naturally meets the constant modulus restriction since the amplitude of each element is equal as shown in Eq.…”
Section: The Covariance Matrix Of the Symbols Is E[ssmentioning
confidence: 99%
“…= −173.83 + 10 log 10 + [dB]. (7) in (5) specifies the transmit power distributed equally among all the users which is obtained via (6). I ( ) denotes the received interference at the UE with the index i in dBm.…”
Section: A Performance Metrics and Analysismentioning
confidence: 99%
“…FDD massive MIMO literatures concentrates on compressing the CSI feedback load by exploiting the spatial correlations [4]. Further, exploiting the joint sparsity structure among the coscheduled UEs reducing the feedback overhead has been taken into attention [5].Grid of beams (GoBs) has been proposed to reduce feedback by limiting the transmit signals to a set of narrow fixed beams [6]. Still, the high level of sensitivity to channel estimation errors for accurate multi user MIMO precoding as well as limited CSI reporting overhead continues to provide considerable challenges.…”
Section: Introductionmentioning
confidence: 99%
“…5(b), since each antenna requires its own fronthaul link for digital beamforming, if N is assumed to be 256 as discussed in Table II, a line rate of about 300 Gbps is required even with the 20 MHz signal bandwidth, which renders low cost implementation impossible. For reducing the fronthaul line rate, massive MIMO employing digital beamforming together with analog beamforming is one of the promising approaches [18], as shown in Fig. 5(c).…”
Section: Requirements On Mobile Optical Networkmentioning
confidence: 99%