Alternating Optimization Based Low Complexity Hybrid Precoding in Millimeter Wave MIMO Systems

Huang, Wenjing; Si, Qintuya; Jin, Minglu

doi:10.1109/lcomm.2019.2958694

Cited by 24 publications

(11 citation statements)

References 8 publications

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“…The mean azimuth and elevation angles of any cluster subject to uniform distribution in the range of [0, 2π). The angular spread of any cluster is 10 degree [16, 18]. We also show the performance of three typical hybrid beamforming algorithms: Alternating Optimization Based Hybrid Precoding (Alt‐Opt) [18], Hybrid Design by Alternating Minimization (HD‐AM) [17] and Manifold Optimization Based Hybrid Precoding (MO‐AltMin) [16].…”

Section: Simulation Resultsmentioning

confidence: 99%

“…The Saleh–Valenzuela channel model is suitable to represent these characters [11]. Hence, for BS k , the channel model can be given by [18]

\begin{align} \mathbf {H}^{(k)}=&\sqrt {\dfrac{N_\mathrm{t} N_\mathrm{r}}{N_\mathrm{cl} N_\mathrm{ray}}} \nonumber \\ &\times \sum \limits _{i=1}^{N_\mathrm{cl}} \sum \limits _{j=1}^{N_\mathrm{ray}}{\alpha _{ij}}^{(k)} \mathbf {a}_\mathrm{r}({\phi _{ij}^\mathrm{r}}^{(k)}, {\theta _{ij}^\mathrm{r}}^{(k)}) \mathbf {a}_\mathrm{t}({\phi _{ij}^\mathrm{t}}^{(k)}, {\theta _{ij}^\mathrm{t}}^{(k)})^H. \end{align}

N cl is the number of clusters in the channel.…”

Section: System Modelmentioning

confidence: 99%

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Cooperative hybrid beamforming design in Multi‐UAV MmWave MIMO systems

et al. 2023

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Due to the limitation of mobility and cost, it is inappropriate to utilize ground base station (GBS) to provide service in emergency scenarios or harsh environments. Unmanned aerial vehicle (UAV) is considered as a feasible way to solve the problem. Millimetre wave communication and UAV can be used together to offer wireless communications flexibly and rapidly for target area. However, fuselage jittering and energy supply would affect the quality and reliability of UAV communication seriously. To overcome the weakness of UAV, the authors prefer to use multiple UAVs to provide wireless communication service simultaneously. This paper investigates the design of hybrid beamforming in the scenarios including multiple UAVs and one end user. Cooperation strategy and alternating optimization method are applied in this design. The distributed UAV base stations are regarded as an entirety and the reference beamforming scheme obtained. Then, the beamforming problem for each UAV is formulated. Moreover, residual error minimization (REM) algorithm is proposed to find the solution of hybrid beamformers at UAV side. Finally, the beamformer of the receiver is optimized with the assist of effective channel, which includes the gain of both channel and beamformers of the transmitters. Simulation results show that the proposed algorithm can achieve near‐optimal spectral efficiency in different scenarios.

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Section: Simulation Resultsmentioning

confidence: 99%

“…The Saleh–Valenzuela channel model is suitable to represent these characters [11]. Hence, for BS k , the channel model can be given by [18]

\begin{align} \mathbf {H}^{(k)}=&\sqrt {\dfrac{N_\mathrm{t} N_\mathrm{r}}{N_\mathrm{cl} N_\mathrm{ray}}} \nonumber \\ &\times \sum \limits _{i=1}^{N_\mathrm{cl}} \sum \limits _{j=1}^{N_\mathrm{ray}}{\alpha _{ij}}^{(k)} \mathbf {a}_\mathrm{r}({\phi _{ij}^\mathrm{r}}^{(k)}, {\theta _{ij}^\mathrm{r}}^{(k)}) \mathbf {a}_\mathrm{t}({\phi _{ij}^\mathrm{t}}^{(k)}, {\theta _{ij}^\mathrm{t}}^{(k)})^H. \end{align}

N cl is the number of clusters in the channel.…”

Section: System Modelmentioning

confidence: 99%

Cooperative hybrid beamforming design in Multi‐UAV MmWave MIMO systems

et al. 2023

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“…The optimization problem in ( 16 ) is a non-convex mixed-integer programming, which is NP-hard. Since there exist four optimization variables, i.e.,

, and

in ( 16 ), we can decompose the primal problem into four subproblems by using the alternating optimization (AO) method, which is widely used in research related to resource allocation [ 28 , 29 , 30 ]. In the AO method, the optimal resource allocation scheme of the optimization problem is obtained by solving the subproblems in sequence, which are discussed in the following subsections.…”

Section: Resource Allocation For Sum Secrecy Rate Maximizationmentioning

confidence: 99%

Joint Resource Allocation in Secure OFDM Two-Way Untrusted Relay System

Yi-feng

et al. 2022

Sensors

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The security issue of wireless communication is a common concern because of its broadcast nature, especially when the relay becomes an eavesdropper. In the orthogonal frequency division multiplexing (OFDM) relay system, when the relay is untrusted, the security of the system faces serious threats. Although there exist some resource allocation schemes in a single-carrier system with untrusted relaying, it is difficult to apply them to the multi-carrier system. Hence, a resource allocation scheme for the multi-carrier system is needed. Compared to the one-way relay system, a two-way relay system can improve the data transmission efficiency. In this paper, we consider joint secure resource allocation for a two-way cooperative OFDM system with an untrusted relay. The joint resource allocation problem of power allocation and subcarrier pairing is formulated to maximize the sum secrecy rate of the system under individual power constraints. To solve the non-convex problem efficiently, we propose an algorithm based on the alternative optimization method. The proposed algorithm is evaluated by simulation results and compared with the benchmarks in the literature. According to the numerical results, in a high signal-to-noise ratio (SNR) scenario, the proposed algorithm improves the achievable sum secrecy rate of the system by more than 15% over conventional algorithms.

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“…The advantage of the analog beamforming structure is that the number of RF chains is small, which greatly reduces the hardware cost and complexity of the system. But the shortcomings of this structure are also obvious [18]. On the one hand, there is only one RF chain, which cannot take full advantage of the high degree of freedom of Massive MIMO.…”

Section: Simulating Beamformingmentioning

confidence: 99%

Transceiver Decoupling of Multivariate Symmetric Hybrid Precoding Based on 5G

Zhang

Wang

et al. 2022

Wireless Communications and Mobile Computing

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Mobile Internet will promote the continuous change of human interaction, leading to an increase in mobile traffic, so the demand for network bandwidth and data volume is rising rapidly, which is also one of the problems that 5G needs to solve. The mobile communication network of the railway system has the characteristics of high-speed user mobility, large-scale group mobility of users, high certainty of user mobile lines, and high QoS requirements for dispatching information. In order to improve the transmission reliability requirements of the railway system for wireless communication, a quick search method algorithm based on GMCS model to encode the number of each subinterval is proposed. Hybrid precoding is designed according to multivariate symmetry rules. The target beam is designed according to the GMCS model, and the hierarchical training beam is designed to minimize the mean square error between the training beam and the target beam as the objective function. Then, the fast search model based on beam overlap is extended to NLoS to solve the problem of misjudgment caused by multipath. In the simulation experiment, it proves that the search success rate of the research in this paper is 10% higher than that of the traditional algorithm. It improves the search speed and has obvious advantages in complexity. It can provide a dynamic reliable conversion mechanism for the railway communication environment, reduce the transmission power of the base station, and optimize the actual effect of uplink and downlink service requirements.

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Alternating Optimization Based Low Complexity Hybrid Precoding in Millimeter Wave MIMO Systems

Cited by 24 publications

References 8 publications

Cooperative hybrid beamforming design in Multi‐UAV MmWave MIMO systems

Cooperative hybrid beamforming design in Multi‐UAV MmWave MIMO systems

Joint Resource Allocation in Secure OFDM Two-Way Untrusted Relay System

Transceiver Decoupling of Multivariate Symmetric Hybrid Precoding Based on 5G

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