Blocking analysis and simulation studies in satellite-augmented cellular networks

Abstract

Satellite systems have been used recently to extend geographical coverage of cellular service and to off-load congestion within the area covered by the cellular network. An integrated satellite-cellular network scenario is considered. An analytical model for a 1 -dimensional (e.g. highway) cellular system thats is augmented by multiple spot beams is presented and the call blocking probability for this system is computed. A simulation program has been developed and used to study the call blocking probability and handoff blocking rate in a planar celllular network with spot beam support. The effed of different hierarchical positions of the satellite system and the cellular system in the integrated scenario are also investigated. (i.e., the relative priority assigned to the cellular and satellite systems by the policy used to direct new call requests and handoffs) .

Design aspects of satellite–cellular hybrid wireless systems

“…Furthermore, by increasing the simulation length, this range shrinks monotonically. Therefore, given the small performance range between extreme policies, two simple call assignment policies, introduced earlier in Reference [6], were examined. It was noticed that the cellular ,rst (CF) policy outperforms the satellite ,rst (SF) policy (with respect to P and P ).…”

“…0.000031 0.000020 (2,2,2,2,32) 0.000046 0.000027 (3,3,3,3,28) 0.000052 0.000036 (4,4,4,4,24) 0.000079 0.000057 (5,5,5,5,20) 0.000090 0.000070 (6,6,6,6,16) 0.000174 0.000080 (7,7,7,7,12) 0.000279 0.000183 (8,8,8,8,8) 0.001485 0.003517 (9,9,9,9,4) 0.019534 0.030689 (10,10,10,10,0) 0.080307 0.125289…”

“…Blocking and dropping performance of channel allocation policies (K "3, K "2). 20,20) 0.000029 0.000016 (1,1,1,18,19) 0.000026 0.000011 (2,2,2,17,17) 0.000023 0.000020 (3,3,3,15,16) 0.000034 0.000027 (4,4,4,14,14) 0.000068 0.000037 (5,5,5,13,12) 0.000080 0.000051 (6,6,6,11,11) 0.000104 0.000091 (7,7,7,10,9) 0.000537 0.000310 (8,8,8,8,8) 0.001812 0.004610 (9,9,9,6,7)…”

“…Blocking and dropping performance of channel allocation policies (K "3, K "4). 0.0058 0.006 (5,5,5,6,7,6,6) 0.009 0.011 (6,6,6,5,6,6,5) 0.011 0.016 (7,7,7,5,4,5,5) 0.015 0.023 (8,8,8,4,4,4,4) 0.019 0.027 (9,9,9,3,3,4,3) 0.031 0.051 (10,10,10,2,3,3,2) 0.038 0.067 (11,11,11,2,1,2,2) 0.044 0.086 (12,12,12,1,1,1,1) 0.055 0.11 (13,13,13,1,0,0,0) 0.063 0.136 blocking probability, to be…”

Optimization of connection-oriented, mobile, hybrid network systems

“…This work builds upon earlier work 5 in which users' mobility, hando s, and call assignment policy were not considered but, rather, only a static split of the total bandwidth into a terrestrial and a satellite component. In this paper, we use standard mobility models that permit us to evaluate the need and probability of hand-o s. We consider the problem of minimizing the probability of blocking call requests while at the same time we are interested in keeping the propagation delay small.…”