Efficient compressive sensing based sparse channel estimation for 5G massive MIMO systems

Khan, Imran; Singh, Dhananjay

doi:10.1016/j.aeue.2018.03.038

Cited by 50 publications

(44 citation statements)

References 34 publications

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“…However, the number of scatterers is limited, so that the scattering ability is limited. In this paper, we used the geometric channel model [7,8,20,21], and the channel model is expressed as follows: The transmitting end is driven by the N RF RF link to transmit N S data streams. The number of transmitting antennas of the i-th sub-array is N i , and the total number of transmitting antennas is N = N RF i=1 N i .…”

Section: System Modelmentioning

confidence: 99%

“…However, the number of scatterers is limited, so that the scattering ability is limited. In this paper, we used the geometric channel model [7,8,20,21], and the channel model H is expressed as follows:…”

Section: System Modelmentioning

confidence: 99%

“…The sub-array beam control vector (BCV) algorithm was optimized, and the interference between sub-arrays was reduced by the proposed algorithm, and the performance achieved by this algorithm was gradually improved as the number of RF links increased. At the same time, we also compared the complexity of the proposed Algorithm 1 with other codebook-based optimized beam Spectral Efficiency (bps/Hz) Digital Beamforming Proposed (Narrow-band Block Fading Channel) Proposed (IID Rayleigh Channel) Reference [9] (Narrow-band Block Fading Channel) Reference [9] (IID Rayleigh Channel) Reference [21] (Narrow-band Block Fading Channel) Reference [21] (IID Rayleigh Channel) Reference [22] (Narrow-band Block Fading Channel) Reference [22] (IID Rayleigh Channel) Reference [23] (Narrow-band Block Fading Channel) Reference [23] (IID Rayleigh Channel) Analog Beamforming Figure 9. Comparison of the spectral efficiency of the algorithms under narrow-band block fading and i.i.d Rayleigh channel.…”

Section: Conclusion and Future Recommendationsmentioning

confidence: 99%

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An Efficient Precoding Scheme for Millimeter-Wave Massive MIMO Systems

Alemaishat¹,

Saraereh

Khan

et al. 2019

Electronics

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Aiming at the problem of high computational complexity due to a large number of antennas deployed in mmWave massive multiple-input multiple-output (MIMO) communication systems, this paper proposes an efficient algorithm for optimizing beam control vectors with low computational complexity based on codebooks for millimeter-wave massive MIMO systems with split sub-arrays hybrid beamforming architecture. A bidirectional method is adopted on the beam control vector of each antenna sub-array both at the transmitter and receiver, which utilizes the idea of interference alignment (IA) and alternating optimization. The simulation results show that the proposed algorithm has low computational complexity, fast convergence, and improved spectral efficiency as compared with the state-of-the-art algorithms.2 of 15 constant constraint so the performance achieved by analog beamforming technology will be limited [6]. Simultaneous use of beamforming in the digital domain and the analog domain can reduce the overhead of the system and compensate for the defects of analog beamforming, making hybrid beamforming a first pre-coding technique [7][8][9][10][11][12][13][14][15][16]. It can be seen from literature [5] that the hybrid beamforming architecture includes a separate sub-array architecture and a shared architecture. The signal on each transmit antenna in the shared architecture is a hybrid superposition of signals on all RF links, and one RF link needs to drive all transmitting antenna. Compared with the shared architecture, one RF link in a separate sub-array architecture is connected to only one antenna sub-array, and each RF link only needs to drive a transmit antenna on the sub-array connected thereto, so the separate sub-array architecture system can effectively reduce energy consumption and hardware complexity. Literature [8] analyzed the relationship between digital beamforming and hybrid beamforming and compared its performance. In [9], an algorithm for determining the sub-array analog beam control vector based on the codebook matching beam pair is proposed for the separate sub-array architecture system. However, the algorithm requires more beam training times, so that it has a high degree of complexity. In [10], both the transmitting and receiving ends are shared hybrid beamforming architectures, and an orthogonal matching pursuit (OMP) algorithm for simultaneous beamforming and digital beamforming is proposed for hybrid beamforming architecture. In [12], based on the codebook with the maximum received power as the criterion, the beamforming method is used to solve the analog beamforming, and then the equivalent channel is used to solve the digital beamforming.Applying interference alignment ideas [17][18][19] in wireless networks can achieve higher system capacity. By integrating multiple interfering signals into a small subspace at the receiving end, maximizing the number of non-interfering dimensions remaining in the desired signal minimizes the impact of the interfering signal on the desired signal while maximizing...

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Section: System Modelmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Section: Conclusion and Future Recommendationsmentioning

confidence: 99%

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An Efficient Precoding Scheme for Millimeter-Wave Massive MIMO Systems

Alemaishat¹,

Saraereh

Khan

et al. 2019

Electronics

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“…In order to obtain the performance gain of a massive MIMO system, the BS side needs to know the channel state information (CSI). However, due to a large number of antennas at the BS end, a large amount of system resources is consumed for channel estimation [7][8][9][10]. In order to avoid the problem of excessive channel estimation pilot overhead, many researchers' works mainly focus on the time division duplex (TDD) mode [11] to reduce channel overhead by using channel reciprocity.…”

Section: Introductionmentioning

confidence: 99%

A Robust Channel Estimation Scheme for 5G Massive MIMO Systems

Khan

Rodrigues

Al‐Muhtadi

et al. 2019

Wireless Communications and Mobile Computing

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Channel state information (CSI) feedback in massive MIMO systems is too large due to large pilot overhead. It is due to the large channel matrix dimension which depends on the number of base station (BS) antennas and consumes the majority of scarce radio resources. To solve this problem, we proposed a scheme for e cient CSI acquisition and reduced pilot overhead. It is based on the separation mechanism for the channel matrix. e spatial correlation among multiuser channel matrices in the virtual angular domain is utilized to split the channel matrix. en, the two parts of the matrix are estimated by deploying the compressed sensing (CS) techniques. is scheme is novel in the sense that the user equipment (UE) directly transmits the received symbols from the BS to the BS, so a joint CSI recovery is performed at the BS. Simulation results show that the proposed channel estimation scheme e ectively estimates the channel with reduced pilot overhead and improved performance as compared with the state-of-theart schemes.

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“…In addition, 3D-MIMO can control the beam in the horizontal and vertical directions of the signal. Reasonable transmission and reception techniques can reduce multi-user interference and greatly improve system performance [10]. As the urban environment becomes more and more modern, the number of users in the community is increasing, and users are more and more dispersed in three-dimensional space.…”

Section: Related Workmentioning

confidence: 99%

A Novel Multi-User Codebook Design for 5G in 3D-MIMO Heterogeneous Networks

et al. 2018

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Abstract:The 2D precoding technology can only adjust the beam in a horizontal direction through data processing, which will cause serious problems for multiuser systems, especially at the edge of the base station it will cause serious inter-cell interference. To solve this problem, in the frequency-division duplex (FDD) 3D-MIMO Heterogeneous network system, the influence of feedback overhead on system performance under limited feedback mechanism is studied using random geometry. Based on the deployment of a uniform planar array (UPA) at the base station, a 3D-MIMO multiuser codebook design scheme based on horizontal transmission angle and the vertical down-tilt angle is proposed, and the codebook design scheme is simulated and analyzed. The results show that the feedback overhead and the micro base station density affect the system throughput and even affect the bit error rate (BER) of the 3D precoding scheme. Compared with the precoding scheme based on 2D and 3D discrete Fourier transform (DFT) codebooks, this scheme greatly reduces the system's BER, improves the system's throughput, and optimizes system performance.

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Efficient compressive sensing based sparse channel estimation for 5G massive MIMO systems

Cited by 50 publications

References 34 publications

An Efficient Precoding Scheme for Millimeter-Wave Massive MIMO Systems

An Efficient Precoding Scheme for Millimeter-Wave Massive MIMO Systems

A Robust Channel Estimation Scheme for 5G Massive MIMO Systems

A Novel Multi-User Codebook Design for 5G in 3D-MIMO Heterogeneous Networks

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