On the Feasibility of Codebook-Based Beamforming in Millimeter Wave Systems With Multiple Antenna Arrays

Singh, Jaspreet; Ramakrishna, Sudhir

doi:10.1109/twc.2015.2390637

Cited by 157 publications

(84 citation statements)

References 14 publications

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“…Oman et al [8] FAS Basis Pursuit Matrices of equal gain elements/ Least squares Ahmed et al [9], [10] beam steering vectors based solution Weiheng et al [11] FAS Convex Quadratic Matrices of equal gain elements Least squares Programming based solution Jaspreet et al [12] ASA Dominant beam Matrices of beam Predefined set of selection based approach steering vectors matrices [16] Linglong et al [13] ASA Successive interference Matrices of equal gain elements Mean Square Error (MSE) cancellation minimization solution obtain the necessary condition for the precoding and combining matrices to maximize the mutual information (MI) of our system considering a finite input alphabet. This solution is referred to as the unconstrained solution.…”

Section: Digital Bf Matrix Antenna Array Solution Methods Analog Bf Mamentioning

confidence: 99%

Hybrid Beamforming in mm-Wave MIMO Systems Having a Finite Input Alphabet

Rajashekar

Hanzo

2016

IEEE Trans. Commun.

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Abstract-Recently, there has been significant research effort towards achieving high data rates in the millimeter wave bands by employing large antenna systems. These systems are considered to have only a fraction of the RF chains compared to the total number of antennas and employ analog phase shifters to steer the transmit and receive beams in addition to the conventional beamforming/combining invoked in the baseband domain. This scheme, which is popularly known as hybrid beamforming, has been extensively studied in the literature. To the best of our knowledge, all the existing schemes focus on obtaining the beamforming/combining matrices that maximize the system capacity computed using a Gaussian input alphabet. However, this choice of matrices may be suboptimal for practical systems, since they employ a finite input alphabet, such as QAM/PSK constellations. Hence, in this paper, we consider a hybrid beamforming/combining system operating with a finite input alphabet and optimize the analog as well as digital beamforming/combining matrices by maximizing the mutual information (MI). This is achieved by an iterative gradient ascent algorithm that exploits the relationship between the minimum mean-squared error and the MI. Furthermore, an iterative algorithm is proposed for designing a codebook for the analog and digital beamforming/combining matrices based on a vector quantization approach. Our simulation results demonstrate that the proposed gradient ascent algorithm achieves an ergodic rate improvement of up to 0.4 bits per channel use (bpcu) compared to the Gaussian input scenario. Furthermore, the gain in the ergodic rate achieved by employing the vector quantization based codebook is about 0.5 bpcu compared to the Gaussian input scenario.Index Terms-Hybrid processing, mm-wave communication, mutual information, beamforming and combining.

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Section: Digital Bf Matrix Antenna Array Solution Methods Analog Bf Mamentioning

confidence: 99%

Hybrid Beamforming in mm-Wave MIMO Systems Having a Finite Input Alphabet

Rajashekar

Hanzo

2016

IEEE Trans. Commun.

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“…we obtain the ray-cluster-based spatial channel model, which is usually used for millimeter wave massive MIMO channel [55].…”

Section: Si Channel Modelmentioning

confidence: 99%

Beam-domain hybrid time-switching and power-splitting SWIPT in full-duplex massive MIMO system

Shen

Wang

2018

J Wireless Com Network

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In this paper, we consider the beam-domain hybrid time-switching (TS) and power-splitting (PS) simultaneous wireless information and power transfer (SWIPT) protocol design in full-duplex (FD) massive multiple-input multiple-output (MIMO) system, where the FD base station (BS) simultaneously serves a set of downlink half-duplex (HD) users (cellular users) and a set of fixed uplink HD users (fixed sensor nodes) which are uniformly distributed in its coverage area. In order to reduce the computational complexity, we investigate the beam-domain representation of massive MIMO channels based on the basis expansion model, and then the beam-domain SWIPT protocol which lies in intelligently scheduling the users and sensors based on the beam-domain distributions of their associated channels to mitigate SI and enhance transmission efficiency is designed for full-duplex massive MIMO system. The whole beam-domain hybrid TS and PS SWIPT protocol is divided into two phases based on the ideal of TS. The first phase is used for cellular users uplink training and sensor nodes energy harvesting as well as downlink training, wherein the cellular users transmit uplink pilots for uplink channel estimation at the BS, while the BS simultaneously transmits energy signals to the sensor nodes. Based on the idea of PS, the sensor nodes utilize the received energy signals for energy harvesting and downlink channel estimation. In the second phase, the BS forms the transmit beamformers for information transmission to the users as well as the receive beamformers for the sensors transmit their data to the BS simultaneously. By optimizing the TS ratio and transmit powers at the BS in two phases, the system achievable sum rate performance is maximized. Simulation results show the superiority of the proposed protocol on spectral efficiency compared with the existing massive MIMO SWIPT protocol.

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“…3 To better understand technology bottlenecks at high frequencies, one must have an accurate and pertinent fading channel model that closely tracks the channel behavior at those frequencies. Accordingly, numerous channel measurements and modeling campaigns have recently been working on outdoor mmWave band propagation, including other works [4][5][6][7][8][9][10][11][12][13] and references therein. The resulting channel measurements have shown significant channel behavior differences between mmWave band and below 6 GHz frequency bands.…”

Section: Introductionmentioning

confidence: 99%

Performance of maximum ratio combining of fluctuating two‐ray (FTR) mmWave channels for 5G and beyond communications

Olyaee

Eslami

Haghighat

2019

Trans Emerging Tel Tech

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Recently, a millimeter‐wave band channel model for fifth generation and beyond communications, called fluctuating two‐ray (FTR) model, has been introduced, which accurately tracks the behavior of wireless communication links in that band. In this paper, the performance of maximum ratio combining (MRC) of signals received through independent FTR channels is evaluated. Closed‐form expressions for the probability distribution of the signal‐to‐noise ratio at the output of the MRC combiner, outage probability of the system, and a tight upper bound for average bit error probability are derived. From the results obtained, it is shown that MRC for FTR channels achieves the same diversity order as MRC for Rayleigh fading, and equal to the number of diversity branches. Additionally, the effects of the FTR fading model parameters on the system performance have been investigated via numerical results obtained from analytical derivations. Comparison between analytical and simulation results show that they are in excellent agreement. To the best of our knowledge, this is the first work to analyze the performance of MRC for FTR channels.

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On the Feasibility of Codebook-Based Beamforming in Millimeter Wave Systems With Multiple Antenna Arrays

Cited by 157 publications

References 14 publications

Hybrid Beamforming in mm-Wave MIMO Systems Having a Finite Input Alphabet

Hybrid Beamforming in mm-Wave MIMO Systems Having a Finite Input Alphabet

Beam-domain hybrid time-switching and power-splitting SWIPT in full-duplex massive MIMO system

Performance of maximum ratio combining of fluctuating two‐ray (FTR) mmWave channels for 5G and beyond communications

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