  In order to provide design guidelines for energy efficient 6G networks, we
propose a novel radial basis function (RBF) based optimization framework to
maximize the integrated relative energy efficiency (IREE) metric. Different
from the conventional energy efficient optimization schemes, we maximize the
transformed utility for any given IREE using spectrum efficiency oriented RBF
network and gradually update the IREE metric using proposed Dinkelbach's
algorithm. The existence and uniqueness properties of RBF networks are
provided, and the convergence conditions of the entire framework are discussed
as well. Through some numerical experiments, we show that the proposed IREE
outperforms many existing SE or EE oriented designs and find a new
Jensen-Shannon (JS) divergence constrained region, which behaves differently
from the conventional EE-SE region. Meanwhile, by studying IREE-SE trade-offs
under different traffic requirements, we suggest that network operators shall
spend more efforts to balance the distributions of traffic demands and network
capacities in order to improve the IREE performance, especially when the
spatial variations of the traffic distribution are significant.
