Multiuser Precoding for Sum-Rate Maximization in Relay-Aided mmWave Communications

Yalçin, Ahmet Zahid; Yapıcı, Yavuz

doi:10.1109/tvt.2020.2987473

Cited by 8 publications

(5 citation statements)

References 15 publications

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“…In this paper, the performance of OSA and CMSA in a time‐varying multi‐user MIMO distributed antenna system is analysed by using MATLAB. We compare OSA and CMSA with the CEO‐based hybrid precoding scheme with two‐bit phase shifters (PSs) [33], the low complexity hybrid precoding scheme with two‐bit PSs [34], the multiuser precoding scheme [35], and the centralized and the distributed deep reinforcement learning method (CDDRLM) [36] with respect to the achievable sum‐rate. Suppose that

ε = J_{0} false(2 π f_{D} T false)

.…”

Section: Simulation Resultsmentioning

confidence: 99%

Sum‐rate optimization scheme for time‐varying distributed MU‐MIMO systems

Xie¹,

Ai²

2021

IET Communications

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Sum‐rate optimization problem is a key issue in a time‐varying multi‐user multi‐input multi‐output (MU‐MIMO) distributed antenna system. Channel precoding matrix is the key technology in the achievable sum‐rate optimization problem. In this paper, two algorithms are proposed to solve the achievable sum‐rate optimization problem for a time‐varying MU‐MIMO distributed antenna system, namely one‐dimensional search algorithm (OSA) and cyclic MMSE (Minimum Mean Square Error) search algorithm (CMSA). In order to design the channel precoding matrix for the achievable sum‐rate optimization, a one‐dimensional search algorithm is proposed in the time‐varying MU‐MIMO distributed antenna system. For the problem with a large amount of computation in OSA, a cyclic MMSE search algorithm is proposed in the time‐varying MU‐MIMO distributed antenna system. Simulation results show that the proposed algorithms can effectively improve the sum‐rate compared to other algorithms. Simulation results also show that OSA is superior to CMSA in the sum‐rate, and the channel state information (CSI) coefficient has little effect on OSA and CMSA.

show abstract

ε = J_{0} false(2 π f_{D} T false)

.…”

Section: Simulation Resultsmentioning

confidence: 99%

Sum‐rate optimization scheme for time‐varying distributed MU‐MIMO systems

Xie¹,

Ai²

2021

IET Communications

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show abstract

“…However, the mmWave channel has some well-known characteristics, such as high propagation loss, high penetration loss of building materials and roughsurface scattering [30]. Yalc ¸ın et al [31] used relay-assisted transmission to resistance the path loss and link blocking in mmwave communication. Other wireless access technologies, such as LTE, WiFi, etc., can be adopted for the communication inside the carriage.…”

Section: Related Workmentioning

confidence: 99%

RIS-Assisted Scheduling for High-Speed Railway Secure Communications

Niu

et al. 2023

IEEE Trans. Veh. Technol.

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With the rapid development of high-speed railway systems and railway wireless communication, the application of ultra-wideband millimeter wave band is an inevitable trend. However, the millimeter wave channel has large propagation loss and is easy to be blocked. Moreover, there are many problems such as eavesdropping between the base station (BS) and the train. As an emerging technology, reconfigurable intelligent surface (RIS) can achieve the effect of passive beamforming by controlling the propagation of the incident electromagnetic wave in the desired direction. We propose a RIS-assisted scheduling scheme for scheduling interrupt flows and improving quality of service (QoS). In the propsed scheme, an RIS is deployed between the BS and multiple mobile relays (MRs). By jointly optimizing the beamforming vector and the discrete phase shift of the RIS, the constructive interference between direct link signals and reflected link signals can be achieved, and the channel capacity of eavesdroppers is guaranteed to be within a controllable range. Finally, the purpose of maximizing the number of successfully scheduled flows and satisfying their QoS requirements can be practically realized. Extensive simulations demonstrate that the proposed scheme has superior performance regarding the number of completed flows and the system secrecy capacity over four baseline schemes in literature.

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“…The AF relay amplifies the received signal from the source, and forwards the amplified signal to the destination. In [7], the precoders and relay amplifying matrix are jointly optimized to maximize the sum rate of multiple users in the mmWave scenarios. Furthermore, the hybrid beamforming in mmWave is exploited by a large-antenna AF relay to reduce implementation cost and complexity in [8].…”

Section: B Conventional Relay-assisted (Ra) Systemsmentioning

confidence: 99%

Neuronal Abnormalities Induced by an Intelligent Virtual Reality System for Methamphetamine Use Disorder

Chen

Tsai

et al. 2022

IEEE J. Biomed. Health Inform.

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In Extended Reality (XR) applications, high data rates and low latency are crucial for immersive experiences. Uplink transmission in XR is challenging due to the limited antennas and power of lightweight XR devices. To improve data transmission rates, we investigate a relay-assisted carrier aggregation (RACA) system. The XR device simultaneously transmits data to an access point (AP) and a relay in proximity over low-frequency and high-frequency bands, respectively. Then, the relay down-converts and amplifies the signals to the AP, effectively acting as an additional transmit antenna for the XR device. In this paper, we propose two algorithms to maximize the data rate of the XR device in their respective protocols. In the centralized protocol, the rate maximization problem is equivalently transformed as a weighted mean square error minimization (WMMSE) problem which can be solved iteratively by alternative optimization. In the distributed protocol, the rate maximization problem is decomposed into two independent subproblems where the rate of the direct link and the rate of the relay link are maximized by singular value decomposition (SVD)based methods with water-filling (WF). Simulation results show that the rate of the RACA system is improved by 32% compared to that of the conventional carrier aggregation scheme.

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Multiuser Precoding for Sum-Rate Maximization in Relay-Aided mmWave Communications

Cited by 8 publications

References 15 publications

Sum‐rate optimization scheme for time‐varying distributed MU‐MIMO systems

Sum‐rate optimization scheme for time‐varying distributed MU‐MIMO systems

RIS-Assisted Scheduling for High-Speed Railway Secure Communications

Neuronal Abnormalities Induced by an Intelligent Virtual Reality System for Methamphetamine Use Disorder

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