＜正＞The problem of assigning calls in a cellular mobile network has become increasingly important because of limited usable range of the frequency *** this paper,a new channel assignment algorithm using transiently ...
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ISBN:
(纸本)0780362535
＜正＞The problem of assigning calls in a cellular mobile network has become increasingly important because of limited usable range of the frequency *** this paper,a new channel assignment algorithm using transiently chaotic neural network（TCNN） is proposed.A significant property of the TCNN model is that the chaotic neurodynamics is temporarily generated for searching and self-organizing in order to escape the local minima. Therefore,the neural network gradually approaches, through the transient chaos,to a dynamical structure similar to such conventional models as the Hopfield neural network which converges to a stable equilibrium point.
We study the performance of the maximum packing channel assignment algorithm (MPA) in channelized cellular networks. MPA is a greedy algorithm, which rejects a call only when it is forced to do so, even if this involv...
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We study the performance of the maximum packing channel assignment algorithm (MPA) in channelized cellular networks. MPA is a greedy algorithm, which rejects a call only when it is forced to do so, even if this involves rearrangement of channels assigned to the ongoing calls, without dropping any of them. We ignore handoffs and model the channel reuse constraints in the cellular network by a hypergraph [1], As the traffic and the number of channels are scaled together, we get a limiting regime where the blocking probability in the cells can be computed by solving a nonlinear optimization problem, The carried traffic in this limiting case is an upper bound on the performance of MPA for practical finite-channel systems. We show that the performance of MPA in a finite-channel cellular system can be closely approximated by considering a simple fixed-routing circuit-switched network. Thus, the finite-channel performance of MPA. can he studied using methods well known in the area of circuit-switched networks, We compare the performance of MPA with other asymptotically optimal algorithms and demonstrate its optimality for low and moderate offered traffic. We envisage MPA as a practical channel assignment algorithm, for moderate size systems, and suggest approximations to reduce its complexity.
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