Chin-Liang Wang’s research while affiliated with National Tsing Hua University and other places

... In terms of throughput, the proposed method surpasses the standard approach of Simultaneous wireless transmission and power transfer (SWIPT). The authors of [22] address a two-user downlink multiple-input multiple-output non-orthogonal multiple access (MIMO-NOMA) system with inadequate CEs and MMSE detection. The authors compute approximated user capacities and construct a closed-form power allocation system to maximize the minimum of them by accounting for both mistakes in CE and MMSE detection. ...

Reference:

Improving Channel Estimation in a NOMA Modulation Environment Based on Ensemble Learning

... PD-NOMA also supports OMA methods like Time division multiple access (TDMA) and Frequency division multiple access (FDMA) [7] for usage in a typical wireless network. The transmitter in PD-NOMA uses superposition coding (SC) and Successive Interference Cancellation (SIC) to ensure that all users have the same resources [8]. The power coefficient is efficiently assigned based on the user's channel status. ...

Reference:

Optimized NOMA System Using Hybrid Coding and Deep Learning-Based Channel Estimation

... It considers both, service received signal power and throughput when allocating resources. Another resource allocation algorithm that may be considered to be fair is proposed in [28]. The algorithm is designed for a downlink multicarrier NOMA system with the aim of maximizing the network capacity under proportional fairness constraint. ...

Reference:

On optimizing resource allocation: A comparative performance evaluation of resource allocation strategies in 5G

... (a) Lattice Partition Multiple Access (LPMA) LPMA [98] is a non-orthogonal multi-client downlink transit mechanism. It has a multiplexing impact in terms of code domain and power. ...

Reference:

Beamforming Techniques for MIMO-NOMA for 5G and Beyond 5G: Research Gaps and Future Directions

... Some previous works addressed the optimization of resource allocation and scheduling algorithms in the downlink through many methods, such as the Lagrangian dual decomposition method (Seong et al., 2006), TCP goodput optimization (Sharon & Alpert, 2018), and the use of nonorthogonal multiple access (NOMA) schemes (Tseng et al., 2020). ...

Reference:

Developing A New Scheduling Algorithm for Wi-Fi 6 Technology Based on Machine Learning

... Further, it also ensures services to multiple users at a similar time. Thus, the users do not generate a base station scheduling request [6]. This feature reduces the amount of lag that occurs during data transfer. ...

Reference:

Optimized NOMA System Using Hybrid Coding and Deep Learning-Based Channel Estimation

... However, despite the fact that NOMA is a critical technology, its impact on the transmission systems was not considered in [12][13][14][15]. While reference [16] did explore the ergodic capacity schemes, the work stopped at the not going into the application layer was the emphasis of reference [5], but the outage capacity that is so critical to the 5G URLLC scenario. Recent surveys have spanned the PHY layer, radio resource allocation, and the physical and upper layers to examine the use of deep learning in this context. ...

Reference:

Downlink Video Communications for Enhanced Hybrid NOMA using Deep Learning Model

... Non-orthogonal multi access (NOMA) is a new paradigm in multi-access that, with its non-orthogonality, can increase user connectivity. Nowadays, we can divide NOMA into 3 schemes: i) powerdomain [1], [2]; ii) code-domain like low density signatures -code division multiple access (LDS-CDMA) [3], low density signature orthogonal frequency division mutiplexing (LDS-OFDM) [4], [5] or sparse code multiple access (SCMA) [6], [7]; and iii) multi-domain such as pattern division multiple access (PDMA) [8]- [11], building block sparse-constellation based orthogonal multiple access (BOMA) [8], [12] and lattice partition multiple access (LPMA) [13]- [15]. Power domain NOMA, we known as PD-NOMA [16], utilizes superposition coding at the transmitter and implements successive interference cancellation (SIC) at the receiver. ...

Reference:

Investigating power scaling factor for pattern division multiple access

... dimension of the code and m k is the spectral efficiency of user k in bits/s/Hz/real dimension. We emphasize here that due to the delay requirements, the channel between the transmitter and each user experiences independent block fading with a finite number of realizations within each data packet transmission duration, which is different from the slow fading model considered in [190] where each user only gets to experience one realization within each data packet transmission duration. For now, we assume that every device in the network is equipped with a single antenna and works in a half-duplex mode. ...

Reference:

Lattice Coding for Downlink Multiuser Transmission

... On the principle that a fixed-ratio ABS approach may not be suitable to HetNets, dynamic distributed schemes were proposed in [8,22,23]. In [8], a scheme using both Cell Range Extension (CRE) and ABS improves the system capacity by more than 13.9%, relative to 3GPP R10 performance. ...

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MACD e-ICIC: a dynamic LTE interference coordination method based on trend and trading know-how