Massive MIMO relaying with hybrid processing

Fozooni, Milad; Matthaiou, Michail; Jin, Shi; Alexandropoulos, George C.

doi:10.1109/icc.2016.7510972

Cited by 21 publications

(11 citation statements)

References 21 publications

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“…Multiple antenna techniques offer potential benefits in wireless communications through their additional spatial degrees of freedom [19], [29], [30], which can be exploited to further enhance the performance of NOMA. The authors in [31] have investigated a beamforming design to maximize sum rate in a multiple-input single-output (MISO) NOMA system using the CCP method which is mainly based on the Taylor series approximation to transform the non-convex constraints into convex form.…”

Section: Introductionmentioning

confidence: 99%

Beamforming Techniques for Nonorthogonal Multiple Access in 5G Cellular Networks

Alavi

Cumanan

Ding

et al. 2018

IEEE Trans. Veh. Technol.

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Abstract-In this paper, we develop various beamforming techniques for downlink transmission for multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) systems. First, a beamforming approach with perfect channel state information (CSI) is investigated to provide the required quality of service (QoS) for all users. Taylor series approximation and semidefinite relaxation (SDR) techniques are employed to reformulate the original non-convex power minimization problem to a tractable one. Further, a fairness-based beamforming approach is proposed through a max-min formulation to maintain fairness between users. Next, we consider a robust scheme by incorporating channel uncertainties, where the transmit power is minimized while satisfying the outage probability requirement at each user. Through exploiting the SDR approach, the original non-convex problem is reformulated in a linear matrix inequality (LMI) form to obtain the optimal solution. Numerical results demonstrate that the robust scheme can achieve better performance compared to the non-robust scheme in terms of the rate satisfaction ratio. Further, simulation results confirm that NOMA consumes a little over half transmit power needed by OMA for the same data rate requirements. Hence, NOMA has the potential to significantly improve the system performance in terms of transmit power consumption in future 5G networks and beyond.Index Terms-Non-orthogonal multiple access (NOMA), Maxmin fairness, Robust beamforming, Outage Probability.

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Section: Introductionmentioning

confidence: 99%

Beamforming Techniques for Nonorthogonal Multiple Access in 5G Cellular Networks

Alavi

Cumanan

Ding

et al. 2018

IEEE Trans. Veh. Technol.

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“…Speaking of designing analog precoding using phase shifters, the angle elements are usually quantized and selected from a finite-size codebook because most phase shifters are digitallycontrolled in current communication systems [11], [22], [28]. In this paper, the angle of each phase shifter is chosen from a codebook A = {e j2πn/2 B 1 , n = 0, 1, ..., 2 B 1 − 1} based on the minimum Euclidean distance criterion where B 1 represents the number of quantization bits for analog precoding per phase shifter.…”

Section: B Quantized Hybrid Precoding Designmentioning

confidence: 99%

“…[27] investigated the pilot design and feedback strategy for hybrid precoding architecture. In [28] [29], the quantized analog precoding was analyzed in hybrid processing for multiuser massive MIMO systems. For massive MIMO, [30] analyzed the performance of a limited feedback massive MIMO system.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Precoding Architecture for Massive Multiuser MIMO With Dissipation: Sub-Connected or Fully Connected Structures?

Xu²,

Shen³

et al. 2018

IEEE Trans. Wireless Commun.

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In this paper, we study the hybrid precoding structures over limited feedback channels for massive multiuser multiple-input multiple-output (MIMO) systems. We focus on the system performance of hybrid precoding under a more realistic hardware network model, particularly, with inevitable dissipation.The effect of quantized analog and digital precoding is characterized. We investigate the spectral efficiencies of two typical hybrid precoding structures, i.e., the sub-connected structure and the fullyconnected structure. It is revealed that increasing signal power can compensate the performance loss incurred by quantized analog precoding. In addition, by capturing the nature of the effective channels for hybrid processing, we employ a channel correlation-based codebook and demonstrate that the codebook shows a great advantage over the conventional random vector quantization (RVQ) codebook. It is also discovered that, if the channel correlation-based codebook is utilized, the sub-connected structure always outperforms the fully-connected structure in either massive MIMO or low signal-to-noise ratio (SNR) scenarios; otherwise, the fully-connected structrue achieves better performance. Simulation results under both Rayleigh fading channels and millimeter wave (mmWave) channels verify the conclusions above.J. Du is with the National

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“…Although the hybrid precoding has been widely considered in research, evidence has shown that it may not be the best choice for all cases compared with the pure analog precoding, especially when considering that analog precoding consumes less power than the hybrid precoding due to some implementation facts [4] [6]. In [7] [8], the analog precoding approximately transformed the effective channel into a diagonal matrix, which implies that digital processing is no longer needed for further multiuser interference cancellation.…”

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confidence: 99%

Analog Versus Hybrid Precoding for Multiuser Massive MIMO With Quantized CSI Feedback

Zhao

et al. 2020

IEEE Commun. Lett.

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In this letter, we study the performance of a downlink multiuser massive multiple-input multiple-output (MIMO) system with sub-connected structure over limited feedback channels. Tight rate approximations are theoretically analyzed for the system with pure analog precoding and hybrid precoding. The effect of quantized analog and digital precoding is characterized in the derived expressions. Furthermore, it is revealed that the pure analog precoding outperforms the hybrid precoding using maximal-ratio transmission (MRT) or zero forcing (ZF) under certain conditions, and we theoretically characterize the conditions in closed form with respect to signal-to-noise ratio (SNR), the number of users and the number of feedback bits. Numerical results verify the derived conclusions on both Rayleigh channels and mmWave channels. Index Terms Massive MIMO, analog precoding, hybrid precoding, limited feedback. I. INTRODUCTION M ASSIVE multiple-input multiple-output (MIMO) has attracted increasing attention as a key technology in the fifth-generation (5G) network [1]. With its advantages for inter-user interference

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Massive MIMO relaying with hybrid processing

Cited by 21 publications

References 21 publications

Beamforming Techniques for Nonorthogonal Multiple Access in 5G Cellular Networks

Beamforming Techniques for Nonorthogonal Multiple Access in 5G Cellular Networks

Hybrid Precoding Architecture for Massive Multiuser MIMO With Dissipation: Sub-Connected or Fully Connected Structures?

Analog Versus Hybrid Precoding for Multiuser Massive MIMO With Quantized CSI Feedback

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