Alternating Optimization Based Hybrid Transceiver Designs for Wideband Millimeter-Wave Massive Multiuser MIMO-OFDM Systems

Yuan, Minghao; Wang, Hua; Yin, Hao; He, Dongxuan

doi:10.1109/twc.2023.3269056

Cited by 2 publications

(3 citation statements)

References 48 publications

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“…Additionally, they help achieve maximum beamforming gain and keep the interference that PU experiences within a predetermined threshold. We can also find a sub-optimal solution to the problem (19) by deriving the lower bound of the objective function. An alternative solution to design the V RF is as follows:…”

Section: Source Analog Precoder and Relay Rf Combinermentioning

confidence: 99%

“…It is worth noting that the characteristics of mm-wave channels are different compared to the lower part of the frequency spectrum due to the smaller wavelength of transmitted signals. For instance, huge path loss, limited propagation paths, lower diffraction, and highly directional wireless channels are associated with mm-wave frequencies [ 19 ]. To overcome the poor characteristics of mm-wave channels, the combination of large-scale MIMO and hybrid beamforming is considered the most attractive solution [ 20 ].…”

Section: Introductionmentioning

confidence: 99%

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Spectral Efficiency Maximization for Mixed-Structure Cognitive Radio Hybrid Wideband Millimeter-Wave Transceivers in Relay-Assisted Multi-User Multiple-Input Multiple-Output Systems

Mustafa,

Baik,

Song

et al. 2024

Sensors

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This paper proposes a cognitive radio network (CRN)-based hybrid wideband precoding for maximizing spectral efficiency in millimeter-wave relay-assisted multi-user (MU) multiple-input multiple-output (MIMO) systems. The underlying problem is NP-hard and non-convex due to the joint optimization of hybrid processing components and the constant amplitude constraint imposed by the analog beamformer in the radio frequency (RF) domain. Furthermore, the analog beamforming solution common to all sub-carriers adds another layer of design complexity. Two hybrid beamforming architectures, i.e., mixed and fully connected ones, are taken into account to tackle this problem, considering the decode-and-forward (DF) relay node. To reduce the complexity of the original optimization problem, an attempt is made to decompose it into sub-problems. Leveraging this, each sub-problem is addressed by following a decoupled design methodology. The phase-only beamforming solution is derived to maximize the sum of spectral efficiency, while digital baseband processing components are designed to keep interference within a predefined limit. Computer simulations are conducted by changing system parameters under different accuracy levels of channel-state information (CSI), and the obtained results demonstrate the effectiveness of the proposed technique. Additionally, the mixed structure shows better energy efficiency performance compared to its counterparts and outperforms benchmarks.

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Section: Source Analog Precoder and Relay Rf Combinermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spectral Efficiency Maximization for Mixed-Structure Cognitive Radio Hybrid Wideband Millimeter-Wave Transceivers in Relay-Assisted Multi-User Multiple-Input Multiple-Output Systems

Mustafa,

Baik,

Song

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…Millimeter wave technology has received significant attention due to its large bandwidth. The combination of millimeter wave and massive MIMO can effectively improve the bandwidth and spectrum utilization of the system [5,6]. On the one hand, the millimeter wavelength is very short, which is conducive to the deployment of a large number of antennas in the system.…”

Section: Introductionmentioning

confidence: 99%

Spectrum Allocation and User Scheduling Based on Combinatorial Multi-Armed Bandit for 5G Massive MIMO

Dou,

Liu,

Qie

et al. 2023

Sensors

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As a key 5G technology, massive multiple-input multiple-output (MIMO) can effectively improve system capacity and reduce latency. This paper proposes a user scheduling and spectrum allocation method based on combinatorial multi-armed bandit (CMAB) for a massive MIMO system. Compared with traditional methods, the proposed CMAB-based method can avoid channel estimation for all users, significantly reduce pilot overhead, and improve spectral efficiency. Specifically, the proposed method is a two-stage method; in the first stage, we transform the user scheduling problem into a CMAB problem, with each user being referred to as a base arm and the energy of the channel being considered a reward. A linear upper confidence bound (UCB) arm selection algorithm is proposed. It is proved that the proposed user scheduling algorithm experiences logarithmic regret over time. In the second stage, by grouping the statistical channel state information (CSI), such that the statistical CSI of the users in the angular domain in different groups is approximately orthogonal, we are able to select one user in each group and allocate a subcarrier to the selected users, so that the channels of users on each subcarrier are approximately orthogonal, which can reduce the inter-user interference and improve the spectral efficiency. The simulation results validate that the proposed method has a high spectral efficiency.

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Alternating Optimization Based Hybrid Transceiver Designs for Wideband Millimeter-Wave Massive Multiuser MIMO-OFDM Systems

Cited by 2 publications

References 48 publications

Spectral Efficiency Maximization for Mixed-Structure Cognitive Radio Hybrid Wideband Millimeter-Wave Transceivers in Relay-Assisted Multi-User Multiple-Input Multiple-Output Systems

Spectral Efficiency Maximization for Mixed-Structure Cognitive Radio Hybrid Wideband Millimeter-Wave Transceivers in Relay-Assisted Multi-User Multiple-Input Multiple-Output Systems

Spectrum Allocation and User Scheduling Based on Combinatorial Multi-Armed Bandit for 5G Massive MIMO

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