Effective power allocation and distribution for 6 g – network in a box enabled peer to peer wireless communication networks

Nowadays, the infrastructure for major broadband networking in cellular communication introduces 6G-Network in a box (6th Generation-NIB) mobile phone networks. As surveyed, the functional execution of 6G-NIB networks addresses several unresolved problems, like assigning power to all points, power management, and efficient distribution. Hence, these unresolved issues have been taken into consideration and resolved through an optimized power allocation and distribution system using the Quasi-Convex Problem-Solving approach of Serial Polynomial Programming (SPP). It helps to boost the energy level of all the points among the peer to peer network and spectral performance of 6G-NIB has been substantially improved without compromising the network Quality of Service (QoS). In considering the transmission power, QoS, and sequential interference elimination (SIE) constraints, To test the proposed power allocation structure and to demonstrate improved efficiency against the traditional method, the simulation environment has been analyzed using Monte Carlo Simulation. The outcomes indicate that the proposed SPP-based power optimization principle greatly enhances 6G -NIB enabled Internet of Things (IoT) network efficiency and performance effectively.