Bandwidth part (BWP) and power scheduling method and apparatus for indoor terahertz

A bandwidth part (BWP) and power scheduling method for an indoor terahertz, comprising the following steps:

• S1:
• initializing parameters and states of a wireless access device, users, and an intelligent reflecting surface (IRS), wherein the parameters comprises an initial transmit power p0, a policy parameter θ0:={μ0,σ0}, and Lagrange multipliers λ0,ϕ0, wherein μ0 denotes expectation of an initial policy, and σ0 denotes variance of the initial policy;
• S2:
• extracting samples {circumflex over (x)}1, {circumflex over (x)}2, {circumflex over (θ)} a truncated standard normal distribution;
• S3:
• calculating a terahertz path loss L(ƒ,d) and a channel gain hj,k, wherein paths comprises a first transmission path from the wireless access device to each user, and a second transmission path from the wireless access device to the each user through a reflection by the IRS, and wherein ƒ denotes carrier frequency, and d denotes distance, j denotes an index of an antenna of an access point, k denotes an index of a current user;
• S4:
• inputting initial conditions to a resource scheduling formula;
• S5:
• inputting a channel state obtained from a channel state matrix HJK to a proximal policy optimization (PPO) algorithm, wherein J denotes a number of antennas, and K denotes a number of users;
• S6:
• calculating an estimate of a gradient according to an obtained new policy parameter set θ and a generated scheduling action;
• S7:
• updating primal-dual variables by using a primal-dual optimization algorithm, until a reward converges;
• S8:
• outputting an action obtained after learning, a scheduled BWP factor β and a power p, and a final system performance function ƒ0(x), wherein x denotes an ergodic mean;
• S9:
• traversing the users, and repeating step S2 to step S7, to complete a scheduling for the users;
• and
• S10:
• terminating the BWP and power scheduling method process, and fetching data.