  This letter considers the weighted sum-rate maximization (WSRMax) problem in
downlink multicell multiuser orthogonal frequency-division multiplexing system.
The WSRMax problem under per base station transmit power constraint is known to
be NP-hard, and the optimal solution is computationally very expensive. We
propose two less-complex suboptimal convex approximated solutions which are
based on sequential parametric convex approximation approach. We derive
provably faster convergent iterative convex approximation techniques that
locally optimize the weighted sum-rate function. Both the iterative solutions
are found to converge to the local optimal solution within a few iterations
compared to other well-known techniques. The numerical results demonstrate the
effectiveness and superiority of the proposed approaches.
