Abstract
Signals transmitted via satellite networks at high frequency in the Ka,Q, andVbands are susceptible to degradation due to rain attenuation. Adaptive transmission techniques are usually employed to mitigate the effect of rain and improve users’ quality of service (QoS) but the effectiveness of these techniques hinges on the accuracy with which rain attenuation on the link is known. Commonly, most techniques rely on predicted attenuation along the link for selection of optimal transmission parameters. This paper proposes an efficient approach to predict the rain attenuation experienced by sources of multimedia connections in rain-impacted satellite networks. The proposed technique is based on three Markov models for widespread, shower, and thunderstorm rain events and predicts the attenuation experienced at different periods within the duration of a user’s connection. It relies on an adaptive modulation and coding (AMC) scheme to dynamically mitigate rain attenuation and a call admission control (CAC) policy to guarantee the satisfaction of users’ QoS requirements.
Highlights
We investigate the performance of the proposed policy using an event-driven simulator. e parameters set for the simulation are highlighted in Table 4. e performance measures of the investigation are the call blocking probability (CBP), throughput, and utilization factor. e CBP for each traffic class is obtained as the ratio of the total number of connections requests of a particular traffic class that was accepted to the total number of connection requests of that traffic class that was generated
(2) Let degradation capacity be denoted by Cdegr (3) Define additional capacity, Cadd, that should be extracted as Cadd capacity request (CR) − CT − CRT − CNRT (4) Define row matrix D C1NRT C2NRT C3NRT . . . CkNRT (5) if CT − CRT − CNRT < CR (6) Start: Degradation
In each of these figures, the CBPs are obtained for three different scenarios. e first is when the attenuation experienced by the user is predicted once (1 period) for the entire duration of the connection
Summary
The feasibility of realizing an integrated and optimally performing satellite-terrestrial network is investigated. The authors in [18, 19] address the issue of resource allocation for multicast multimedia content delivery to large number of users in an integrated satelliteterrestrial network by developing a resource allocation strategy that considers the time-varying condition of the satellite channel in the allocation of network resources. Is approach would aid a CAC’s decision process with accurate information on channel conditions and transmission modes so that it can make good decision on the acceptance/rejection of connection requests Based on this understanding, this work proposes a CAC policy for satellite networks. E CAC is made more efficient through knowledge of the channel state and the current adaptation parameters (transmission modes) employed by the user to mitigate the attenuation caused by rain (ii) We design a CAC policy based on game theory to provide QoS guarantee to real-time connections. e CAC is made more efficient through knowledge of the channel state and the current adaptation parameters (transmission modes) employed by the user to mitigate the attenuation caused by rain
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