Static and dynamic resource allocation in a multiservice satellite network with fading

Abstract

SUMMARYA control architecture for resource allocation in satellite networks is proposed, along with the specification of performance indexes and control strategies. The latter, besides being based on information on traffic statistics and network status, rely upon some knowledge of the fading conditions over the satellite network channels. The resource allocation problem consists of the assignment, by a master station, of a total available bandwidth among traffic earth stations in the presence of different traffic types. Traffic stations are assumed to measure continuously their signal fade level, but this information may either be used only locally or also communicated to the master station. According to the information made available on-line to the master station on the level of the fading attenuation of the traffic stations, the assignment can be made static, based on the a priori knowledge of long-term fading statistics, or dynamic, based on the updated measurements. In any case, the decisions can be adapted to slowly time-varying traffic characteristics. At each earth station, two basic traffic types are assumed to be present, namely guaranteed bandwidth, real time, synchronous data (stream traffic) and best-effort traffic (datagram traffic). Numerical results are provided for a specific architecture in the dynamic case, in a real environment, based on the Italsat satellite national coverage payload characteristics.

Providing Differentiated Service to TCP Flows Over Bandwidth on Demand Geostationary Satellite Networks

“…Error control techniques become mandatory if the service differentiation is to be preserved. Adaptive FEC [46] or/and ARQ [36], may preserve the existing or introduce a further level of differentiation in the connection treatment, at the expense of additional data redundancy and signaling overheads. Combination of connectionless link-layer protocols and the split-connection mechanism into the same bearer can provide performance enhancement even over highly loaded BoD satellite links [42].…”

Adaptive cross‐layer bandwidth allocation in a rain‐faded satellite environment

“…This way, the countermeasure strategy adopted remains unchanged for all those levels of signal attenuation that belong to the same class. Thus, for each type of traffic with a given bit error rate (BER) requirement, a fade class aggregates those fade levels that need the same data redundancy, expressed at station i by redundancy coefficients r The work we present in this paper stems from the studies initiated in References [14,15]. In Reference [14], we introduced and investigated a centralized allocation policy (which here we refer to as optimized centralized}OC), based on the solution of a discrete optimization problem.…”

“…Thus, for each type of traffic with a given bit error rate (BER) requirement, a fade class aggregates those fade levels that need the same data redundancy, expressed at station i by redundancy coefficients r The work we present in this paper stems from the studies initiated in References [14,15]. In Reference [14], we introduced and investigated a centralized allocation policy (which here we refer to as optimized centralized}OC), based on the solution of a discrete optimization problem. In OC, the master adopts an allocation policy that is optimized for the whole system; the traffic stations can only trigger a re-allocation procedure, without explicitly indicating a specific amount of bandwidth.…”

“…Derived from the experiences described in References [14,15], additional work has been done, in order to overcome the limits we found in the algorithms. In particular, here we provide the following new contributions: (i) a complete characterization of the criterion used by the OP policy to compute its bandwidth requests; (ii) the specification of the constrained discrete optimization algorithm adopted in the OC policy; (iii) an analysis of the effect that constraints on the minimum and maximum bandwidth assignments have upon the time necessary to compute a new bandwidth allocation in OC; (iv) a more complete set of results on the comparison of the two methods.…”

Resource Management and Network Layer

“…In doing this, the effect of fading on the satellite channel is also taken into account. As in other works (see, e.g., [25]), when the fade countermeasure in use is modulation and coding rate adaptation, the effect of fading is modeled as a reduction in the bandwidth (i.e., the service rate) effectively 'seen' by a layer 2 traffic buffer.…”