In this article, two efficient heuristic algorithms are suggested for
the channel allocation problem which minimizes the average blocking pr
obability of the whole network subject to the co-channel, adjacent-sit
e and co-site interference constraints, given the number of available
channels. We convert this problem into a convenient form using the pie
cewise linearization technique and the concept of pattern, and apply L
agrangean relaxation and subgradient optimization techniques. Computat
ional experiments show that this procedure provides high-quality solut
ions with information about their error ranges for networks with speci
al compatibility matrices. We also suggest a general procedure using a
GOS (grade of service) updating scheme, and provide encouraging compu
tational results. (C) 1997 Elsevier Science Ltd.