Clustering and power allocation for secured access to simultaneous transmissions and sensing Internet of Things networks

The security of wireless access is studied for the integrated wireless communications and sensing in 6G Internet of Everything networks. The scaling law of the secured communications and that of the secured sensing are theoretically derived in closed form with respect to the number of the transmit nodes in the same transmit clustering. The energy efficiency of the secured communications is also theoretically analyzed. It is discovered that the gain from additional transmit nodes benefits both secured communication and secured sensing, yet the factors of these two gain scale in different coefficients. The methodology for the theoretical analysis is the statistical derivation approach. Moreover, the transmit power and the number of the transmit nodes for the cluster are jointly optimized to the global optimum in the analytical expression by either maximizing the secured ergodic throughput or maximizing the secured ergodic energy efficiency under the same constraint of the sensing required quality. Two algorithms are finally developed to jointly solve these two problems with the guaranteed convergence. Numerical simulations verify the performances of our derived results.