READ ME File For 'Multiple Access Design for Ultra-Dense VLC Networks: Orthogonal v.s. Non-Orthogonal'

Dataset DOI: 10.5258/SOTON/D0730

ReadMe by University of Southampton Library

This dataset supports the publication:

Feng, S., Zhang, R., Xu, W., & Hanzo, L. (2018). Multiple Access Design for Ultra-Dense VLC Networks: Orthogonal v.s. Non-Orthogonal. IEEE Transactions on Communications. 

Contents
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This dataset is associated with the 2018 IEEE Transactions on Communications publication titled "Multiple Access Design for Ultra-Dense VLC Networks: Orthogonal v.s. Non-Orthogonal" by Simeng Feng et.al. The spreadsheet includes the data set for plotting each of the result-figures of the above-mentioned paper. More explicitly, this RDM includes the data for plotting the x-axis and y-axis of a particular curve of the corresponding figure.

The figures are as follows:

Fig. 7: Effects of various reuse factors on the throughput (TP) and OP based on our hybrid NOMA and OMA system compared under different FoVs, where a total of jUj = 25 UEs have to be supported using the parameters of Table I.

Fig. 8: Achievable sum-throughput and OP of different MA schemes for various FoVs, where jUj = 25 UEs have to be served using the parameters of Table I.

Fig. 9: Sum-throughput and OP vs. the number of UEs at FoV = 85o.

Fig. 10: Achievable sum-throughput and OP as a function of maximum load , investigated in the context of conventional NOMA and hybrid NOMA and OMA schemes with and without FR schemes, compared to the ideal load scenario (denoted by dash lines), where a total of jUj = 40 UEs are aimed to be supported in the system under FoV = 100o.


Geographic location of data collection: University of Southampton, U.K.

Related projects:

Cooperative backhaul aided next-generation digital subscriber loops
Hanzo, L. & Zhang, R.
EPSRC EP/N004558/1
13/10/15 ? 12/10/18

New Air Interface Techniques for Future Massive Machine-Type Communications
Hanzo, L. & Yang, L.
EPSRC EP/PO34284/1
1/12/17 ? 30/11/20
 
Royal Society’s GRFC Grant

H2020 - QuantCom - ERC ADV Prof Lajos Hanzo
Hanzo, L.
European Research Council’s Advanced Fellow Grant, European Union
1/06/18 ? 31/05/23


Dataset available under a CC BY 4.0 licence


Publisher: University of Southampton, U.K.


Date: November 2018