Title: Joint Power and Admission Control based on Channel Distribution Information: A Novel Two-Timescale Approach,
Abstract: In this letter, we consider the joint power and admission control (JPAC)
problem by assuming that only the channel distribution information (CDI) is
available. Under this assumption, we formulate a new chance (probabilistic)
constrained JPAC problem, where the signal to interference plus noise ratio
(SINR) outage probability of the supported links is enforced to be not greater
than a prespecified tolerance. To efficiently deal with the chance SINR
constraint, we employ the sample approximation method to convert them into
finitely many linear constraints. Then, we propose a convex approximation based
deflation algorithm for solving the sample approximation JPAC problem. Compared
to the existing works, this letter proposes a novel two-timescale JPAC
approach, where admission control is performed by the proposed deflation
algorithm based on the CDI in a large timescale and transmission power is
adapted instantly with fast fadings in a small timescale. The effectiveness of
the proposed algorithm is illustrated by simulations.