A novel FDD massive MIMO system based on downlink spatial channel estimation without CSIT

Esswie, Ali A.; El-Absi, Mohammed; Dobre, Octavia A.; Ikki, Salama; Kaiser, Thomas

doi:10.1109/icc.2017.7997169

Cited by 17 publications

(17 citation statements)

References 14 publications

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“…Interestingly, the MU performance can be further improved with a larger number of antennas, equipped at both transmitter and receiver. Channel hardening [15,16] denotes a fundamental channel phenomenon where the variance of the channel mutual information shrinks as the number of antennas grows,…”

Section: Simulation Resultsmentioning

confidence: 99%

Multi-User Preemptive Scheduling For Critical Low Latency Communications in 5G Networks

Esswie

Pedersen

2018

2018 IEEE Symposium on Computers and Communications (ISCC)

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5G new radio is envisioned to support three major service classes: enhanced mobile broadband (eMBB), ultra-reliable low-latency communications (URLLC), and massive machine type communications. Emerging URLLC services require up to one millisecond of communication latency with 99.999% success probability. Though, there is a fundamental trade-off between system spectral efficiency (SE) and achievable latency. This calls for novel scheduling protocols which cross-optimize system performance on usercentric; instead of network-centric basis. In this paper, we develop a joint multi-user preemptive scheduling strategy to simultaneously cross-optimize system SE and URLLC latency. At each scheduling opportunity, available URLLC traffic is always given higher priority. When sporadic URLLC traffic appears during a transmission time interval (TTI), proposed scheduler seeks for fitting the URLLC-eMBB traffic in a multiuser transmission. If the available spatial degrees of freedom are limited within a TTI, the URLLC traffic instantly overwrites part of the ongoing eMBB transmissions to satisfy the URLLC latency requirements, at the expense of minimal eMBB throughput loss. Extensive dynamic system level simulations show that proposed scheduler provides significant performance gain in terms of eMBB SE and URLLC latency.

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Section: Simulation Resultsmentioning

confidence: 99%

Multi-User Preemptive Scheduling For Critical Low Latency Communications in 5G Networks

Esswie

Pedersen

2018

2018 IEEE Symposium on Computers and Communications (ISCC)

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“…With a large number of transmit antennas, the channel hardening phenomenon can be exploited to cancel the characteristics of a small-scale fading [51] and it becomes dominant when the number of served users (K) is much lower than the number of receive antennas (N). This can be seen as a diagonlisation of the entries in the Gram matrix or Gramian G = H H H, where the non-diagonal components tend to zero and diagonal terms become closer to N [44] [52].…”

Section: A Linear Detectors Based On the Approximate Matrix Inversionmentioning

confidence: 99%

Massive MIMO Detection Techniques: A Survey

Albreem

Juntti

Shahabuddin

2019

IEEE Commun. Surv. Tutorials

365

229

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“…Fig. 6 shows the SE performance comparison of the perfect CSIT-based, proposed FD D-SCE, E-CSI-RS, KP- based, 2D FMMSCE [7] and the 2D random vector quantization (RVQ) algorithms. The proposed D-SCE with B = 0 feedback overhead bits outperforms the E-CSI-RS with B = 7 bits per user per channel coherence time, especially in the high SINR region, approaching the perfect CSIT case.…”

Section: Kronecker-based Beamformingmentioning

confidence: 99%

“…However, channel quantization represents a major limitation of the network spatial degrees of freedom (DoFs), regardless of the number of transmit antennas [7]. Hence, the design of the beamformed CSI-reference-signals (CSI-RS) is widely studied in recent standards [8,9], where the DL pilots are distributed across several FD beamforming directions.…”

Section: Introductionmentioning

confidence: 99%

“…CSI-RS algorithms have shown scalability and performance improvement with limited feedback overhead; however, they may result in blind coverage spots if scanning precision is insufficient. Furthermore, an FDD mMIMO system based on DL spatial channel estimation (FMMSCE) [7] has been recently proposed, to remove the limitation of the channel quantization; though, it suffers from sub-optimal performance in FD systems due to the missing elevation DoFs.…”

Section: Introductionmentioning

confidence: 99%

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Directional Spatial Channel Estimation for Massive FD-MIMO in Next Generation 5G Networks

Esswie

Dobre

Ikki

2018

2018 IEEE International Conference on Communications (ICC)

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Full-dimensional (FD) channel state information at transmitter (CSIT) has always been a major limitation of the spectral efficiency of cellular multi-input multi-output (MIMO) networks. This letter proposes an FD-directional spatial channel estimation algorithm for frequency division duplex massive FD-MIMO systems. The proposed algorithm uses the statistical spatial correlation between the uplink (UL) and downlink (DL) channels of each user equipment. It spatially decomposes the UL channel into azimuthal and elevation dimensions to estimate the array principal receive responses. An FD spatial rotation matrix is constructed to estimate the corresponding transmit responses of the DL channel, in terms of the frequency band gap between the UL and DL channels. The proposed algorithm shows significantly promising performance, approaching the ideal perfect-CSIT case without UL feedback overhead.

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A novel FDD massive MIMO system based on downlink spatial channel estimation without CSIT

Cited by 17 publications

References 14 publications

Multi-User Preemptive Scheduling For Critical Low Latency Communications in 5G Networks

Multi-User Preemptive Scheduling For Critical Low Latency Communications in 5G Networks

Massive MIMO Detection Techniques: A Survey

Directional Spatial Channel Estimation for Massive FD-MIMO in Next Generation 5G Networks

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