Emergency Management is an important topic for research community worldwide, especially after recent major disasters. The problem of supporting mobility at the disaster site to rescue teams equipped with different heterogeneous access technologies and providing interoperability between different agencies and jurisdictions is still under investigation. In this work we propose to merge the advantages of IPv6 micro-mobility management of Proxy Mobile IPv6 (PMIPv6) with macro-mobility management, security, inter-technology handover and multi-homing features of Host Identity Protocol (HIP). This new approach applied to our proposed ad-hoc satellite and wireless mesh system architecture for emergency mobile communications can improve mobility, security, reliability and interoperability in Emergency Management domain.

Most of GEO satellite telecommunication systems today aim at providing multimedia access services to low cost and power-limited user terminals by implementing performant regenerative onboard processing techniques (demodulation, routing). In order to meet high QoS performance at low SNR, especially on the satellite uplink, performant coding schemes such as turbo codes are necessary. We focus on the critical point of the on-board demodulator: the carrier phase recovery performed in presence of powerful turbo decoding. Non-data aided (NDA) and TD estimators are presented and analysed in terms of characteristics for transmissions using recursive systematic convolutional (RSC) codes that can be used for turbo codes. We show that TD estimation can operate down to E/sub c//N/sub 0/=0 dB with frequency offset up to 10/sup -3/.

In this paper, we describe and analyze a new feedforward carrier-phase algorithm suited to on-board digital implementation. The algorithm studied here (for phase recovery of M-ary phase-shift keying signals) has the particularity to perform all calculations in polar coordinates in order to reduce the implementation complexity. The defined phase estimator is operating at very low signal-to-noise ratio with small frequency offsets. Its performance is close to those of the Viterbi and Viterbi algorithm.