Power Allocation of Non-Orthogonal Multiple Access Based on Dynamic User Priority for Indoor QoS-Guaranteed Visible Light Communication Networks

Tao, Siyu; Yu, Hongyi; Li, Qing; Bai, Xiangwei; Tang, Yanqun

doi:10.3390/app8081219

Cited by 6 publications

(5 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For the research on the power allocation algorithm in the NOMA system, the objective function is mainly focused on minimizing the total transmit power [9][10][11][12][13], minimizing the probability of outage [14][15][16][17], and maximizing system throughput [18][19][20], etc. The main existing algorithms full search power allocation (FSPA) [21], fixed power allocation (FPA) [22], iterative water-filling power allocation (IWPA) [23], and fractional transmit power allocation (FTPA) [24]. Reference [21] pointed out in the study of power allocation and interference cancellation algorithms for non-orthogonal multiple access systems that FSPA can achieve the best performance of non-orthogonal multiple access systems by searching for all user-pair power allocation combinations, but FSPA has high complexity.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Although FPA is relatively low in complexity, the system performance is greatly affected by the power allocation factor, and usually cannot achieve the best performance of the system. Reference [23] pointed out in the study of non-orthogonal multiple access systems that IWPA can achieve better power distribution performance, but it has problems with local optimization and high complexity. Reference [24] and others proposed the FTPA algorithm.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Resource Allocation for NOMA Wireless Networks

Albogamy¹,

Aiyashi²,

Hashim³

et al. 2023

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

The non-orthogonal multiple access (NOMA) method is a novel multiple access technique that aims to increase spectral efficiency (SE) and accommodate enormous user accesses. Multi-user signals are superimposed and transmitted in the power domain at the transmitting end by actively implementing controllable interference information, and multi-user detection algorithms, such as successive interference cancellation (SIC), are performed at the receiving end to demodulate the necessary user signals. Although its basic signal waveform, like LTE baseline, could be based on orthogonal frequency division multiple access (OFDMA) or discrete Fourier transform (DFT)-spread OFDM, NOMA superimposes numerous users in the power domain. In contrast to the orthogonal transmission method, the nonorthogonal method can achieve higher spectrum utilization. However, it will increase the complexity of its receiver. Different power allocation techniques will have a direct impact on the system's throughput. As a result, in order to boost the system capacity, an efficient power allocation mechanism must be investigated. This research developed an efficient technique based on conjugate gradient to solve the problem of downlink power distribution. The major goal is to maximize the users' maximum weighted sum rate. The suggested algorithm's most notable feature is that it converges to the global optimal solution. When compared to existing methods, simulation results reveal that the suggested technique has a better power allocation capability.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Optimal Resource Allocation for NOMA Wireless Networks

Albogamy¹,

Aiyashi²,

Hashim³

et al. 2023

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…Power allocation strategic design methods may be divided into two categories; fractional transmit power strategies and power law strategies (PLS). In PLS power allocation ratios

α_{k, m} \forall m

are always related to the NU or FU, while fractional transmit power strategies assign the power allocation ratios

α_{k, m}

based on the sorted channel gains 66 . In the first category, FTPA was the first strategic design method used in DPA.…”

Section: Power Allocation Problem In Nomamentioning

confidence: 99%

“…In PLS power allocation ratios 𝛼 k,m ∀m are always related to the NU or FU, while fractional transmit power strategies assign the power allocation ratios 𝛼 k,m based on the sorted channel gains. 66 In the first category, FTPA was the first strategic design method used in DPA. The power allocation ratio 𝛼 k,m in FTPA is given by: 29…”

Section: Dynamic Power Allocationmentioning

confidence: 99%

On The Selection of Power Allocation Strategy in Power Domain Non‐Orthogonal Multiple Access (PD‐NOMA) for 6G and Beyond

Mounir

Mashade

Aboshosha

2021

Trans Emerging Tel Tech

View full text Add to dashboard Cite

Non-orthogonal multiple access (NOMA) is an attractive candidate for 6G networks to support ultra-massive machine-type communications (umMTC). Power domain NOMA (PD-NOMA) is the simplest type of NOMA, which assigns a different power level to each user. Power allocation in PD-NOMA can be classified into fixed/dynamic power allocation (FPA/DPA). FPA is simple, but DPA is more suitable for the mobile environment than FPA. However, finding optimum power per each user in DPA is extremely complex. Fortunately, many DPA strategic design methods were introduced in literature as simple suboptimal solutions of DPA. Therefore, DPA strategic design methods and FPA techniques are simple approaches to implement PD-NOMA in 6G and beyond. In literature, no previous work had compared the performances of all DPA strategic design methods, nor FPA techniques, to ease the selection of a simple strategy for PD-NOMA in 6G. Motivated by that, this work compares performances of all DPA strategic design methods as well as FPA techniques, in terms of sum-rate capacity, fairness, and bit error rate (BER). Results showed that the best DPA strategic design method and the best FPA technique have comparable performance.

show abstract

“…Here, we consider that the transmission channel of visible light in the pipe includes two links: the unobstructed line-of-sight (LOS) links and non-line-of-sight (NLOS) links [19,20,21]. LOS links rely on a direct transmission path between the transmitter and receiver for communication, whereas NLOS links usually rely on diffuse reflection from the pipe wall.…”

Section: Analysis Of Vlrc Transmission Channelmentioning

confidence: 99%

A Coordinated Wheeled Gas Pipeline Robot Chain System Based on Visible Light Relay Communication and Illuminance Assessment

Zhao

Kamezaki

Yoshida

et al. 2019

Sensors

View full text Add to dashboard Cite

The gas pipeline requires regular inspection since the leakage brings damage to the stable gas supply. Compared to current detection methods such as destructive inspection, using pipeline robots has advantages including low cost and high efficiency. However, they have a limited inspection range in the complex pipe owing to restrictions by the cable friction or wireless signal attenuation. In our former study, to extend the inspection range, we proposed a robot chain system based on wireless relay communication (WRC). However, some drawbacks still remain such as imprecision of evaluation based on received signal strength indication (RSSI), large data error ratio, and loss of signals. In this article, we thus propose a new approach based on visible light relay communication (VLRC) and illuminance assessment. This method enables robots to communicate by the ‘light signal relay’, which has advantages in good communication quality, less attenuation, and high precision in the pipe. To ensure the stability of VLRC, the illuminance-based evaluation method is adopted due to higher stability than the wireless-based approach. As a preliminary evaluation, several tests about signal waveform, communication quality, and coordinated movement were conducted. The results indicate that the proposed system can extend the inspection range with less data error ratio and more stable communication.

show abstract

Power Allocation of Non-Orthogonal Multiple Access Based on Dynamic User Priority for Indoor QoS-Guaranteed Visible Light Communication Networks

Cited by 6 publications

References 27 publications

Optimal Resource Allocation for NOMA Wireless Networks

Optimal Resource Allocation for NOMA Wireless Networks

On The Selection of Power Allocation Strategy in Power Domain Non‐Orthogonal Multiple Access (PD‐NOMA) for 6G and Beyond

A Coordinated Wheeled Gas Pipeline Robot Chain System Based on Visible Light Relay Communication and Illuminance Assessment

Contact Info

Product

Resources

About