A heuristic approach to satellite link capacity planning applied in mobile networks

S. Krile, M. Kos
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引用次数: 9

Abstract

Taking into account the continuous increase of traffic demands, it is necessary to increase satellite link capacity rationally. An efficient algorithm for sizing of N satellite links in mobile networks during exploitation is being developed, minimizing the total expansion cost. Capacity shortages are allowed so the problem is denoted as CEPS (Capacity Expansion Problem with Shortages). Using a network flow approach, the paper develops all possible expansion solutions for SPEP (Single Period Expansion Problem) and properties of extreme point solution are identified. The extreme flow theory enables separation of these extreme flows which can be a part of an optimal expansion solution from those which cannot. Such a heuristic approach enables the optimal result, using significantly less effort in programming and algorithm development. Our heuristic algorithm is compared with an algorithm based on an exact approach through many numerical examples. It is obvious that it is very effective, providing an optimal result with reasonable effort. The algorithm can be applied to short- or medium-term satellite network planning with a finite number of discrete time periods.
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移动网络中卫星链路容量规划的启发式方法
考虑到业务需求的持续增长,有必要合理增加卫星链路容量。研究了一种有效的移动网络中N条卫星链路的扩展算法,使扩展总成本最小化。容量短缺是允许的,所以这个问题被记作cceps(短缺的容量扩展问题)。利用网络流方法,给出了单周期展开问题的所有可能展开解,并给出了极值点解的性质。极值流理论可以将这些极值流从那些不能成为最优膨胀解的极值流中分离出来。这样的启发式方法可以在编程和算法开发中显著减少工作量,从而实现最佳结果。通过许多数值算例,将启发式算法与基于精确逼近的算法进行了比较。很明显,它是非常有效的,以合理的努力提供了最佳的结果。该算法可用于有限离散时段的中短期卫星网络规划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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