Although counter-rotating seam intersatellite links (CRS-ISL) have been considered, its implementation and impact on the low Earth orbit (LEO) satellite networks is rarely discussed. The paper proposes an approach to the modeling of CRS-ISL for LEO satellite systems. The approach is based on the use of readily-available radio frequency (RF) type of antenna for establishing communications between CRS-ISL, and a simple handoff algorithm is put forward to facilitate the handoff process between counter-rotating seams' satellites so as to maintain the CRS-ISL communication path. Through simulations, the impact and presence of CRS-ISL are discussed.

Given the large amount of work on wireless and satellite ATM links, it is highly probable that ATM provides an underlying link-layer protocol over which higher-level protocols, such as IP, is carried within the satellite constellation. Although several routing algorithms have been proposed for connection-oriented LEO satellite networks, the general approach involves discretizing the continuous satellite constellation. However, these studies suffer from the important shortcoming that the handoff process of the LEO satellite is not considered, it can be argued in general that the use of small discretized epochs is a good way of modeling a continuous process. Although this is true in many practical and simulation environments, it is not so in the case of LEO satellite systems. In this paper, the importance of the continuous handoff process is shown through simulation. A new semi-discrete time routing algorithm that takes into considerations of the detrimental handoff effects for connection-oriented LEO satellite networks is put forward.

The use of hybrid satellite terrestrial networks (HSTN) involving constellations of low Earth orbit (LEO) satellites is likely to play an increasingly important role in meeting future telecommunication demands. LEO satellite resources (bandwidth) are, however, strictly limited and allowance has to be made for housekeeping procedures such as handover. The problem of efficient resource allocation of LEO satellites is addressed. Through the use of Kleinrock's linear capacity flow assignment (CFA) formulation and a suitable system model, simulation results show a binding relationship between satellite bandwidth, varying traffic loads, packet delay and satellite handover traffic. This leads to the proposition of a simple ratio-based dynamic bandwidth allocation (DBA) algorithm that conserves the limited LEO satellite bandwidth so as to facilitate the handover process, whilst maintaining the quality-of-service (QoS) offered to users.

The increasing demand for a range of services with varying traffic flow characteristics, and the need for seamless wireless access, have led to a growing interest in multi-service low Earth orbit (LEO) satellite networks. A new approach to the problem of resource utilization is put forward. The approach divides the traffic into two classes, one associated with delay sensitive services, and the other with services that are not delay sensitive. An iterative algorithm is proposed which assigns traffic on a first-come-first-serve basis, subject to a maximum average packet delay constraint. The algorithm is shown to provide effective resource utilization when dealing with traffic having random time-varying characteristics.

The asymptotic relative efficiencies (ARE) of generalized sign (GS), Mann-Whitney (MW), modified Savage (MS), and modified rank squared (MRS) two-sample nonparametric detectors are compared with those of the mean and median parametric detectors. The signal is assumed to be nonfluctuating, and the background noise is assumed to be lognormal or to be characterized by a contaminated normal distribution. It is shown that using the asymptotic relative efficiency measure the performance of nonparametric detectors increases appreciably as the noise distribution deviates from normality.

This paper deals with aspects of the ‘on-ground’ compression of satellite data. The Shannon-Fano, Run-Length and Hadamard Transformation methods of data compression are considered and the results obtained when applying the techniques to the compression of ESRO 1 satellite data are presented and compared.