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How are we able to fix it so as to theoretically go over it, if theoptimality and efficiency of the orbital angular momentum (OAM) multiplexingtechnique in a multi-input multi-output (MIMO) system fails in practice --something that technically causes a considerable reduction in the maximumachievable value of the transceiver's degree-of-freedom? Is the aforementionedchallenging issue theoretically interpretable?  This paper considers the above mentioned challenge in the reconfigurableintelligent surface based systems -- as an exemplified system model -- andconsequently proposes a Mendelain randomaisation (MR) technique through whichwe can further overcome the aforementioned challenge. Towards such end and inthis paper, we take into account a Markov chain$\mathcal{G}-\circ-\mathcal{X}-\circ-\mathcal{Y}-\circ-\mathcal{V}$ while$\mathcal{G}$, $\mathcal{X}$, $\mathcal{Y}$ and $\mathcal{V}$ respectivelydenote transmit design parameters, quality of goods, error floor in datadetection and non-orthogonality set in the OAM implementation -- arisen fromother non-optimalities, disturbances and inefficiencies such as the atmosphericKolmogorov turbulence. Furthermore, we consider a not-necessarily-Gaussianrandomisation method according to which the resultant probability distributionfunction (PDF) is 2-D in relation to a definable outage probability in thedesign problem in relation to $\mathcal{Y}$ -- that is, in terms of$\beta_{\mathcal{X}}\theta$ while the randomisation is applied to $\theta$ asthe control input which should be optimally derived as the graph-theoreticallyassociating parameter between $\mathcal{X}$ and $\mathcal{Y}$, and$\beta_{\mathcal{X}}$ is the the associating parameter between $\mathcal{G}$and the exposure $\mathcal{X}$.

Orbital Angular Momentum: From State Disentanglement Towards the Secrecy Outage Probability