Joint Power and Admission Control based on Channel Distribution Information: A Novel Two-Timescale Approach
  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.
