Download PDF by Borja de la Cuesta, Isaac Moreno Asenjo, Ana Yun Garcia,: Personal Satellite Services: Third International ICST

By Borja de la Cuesta, Isaac Moreno Asenjo, Ana Yun Garcia, Juan Manuel Rodriguez Bejarano (auth.), Giovanni Giambene, Claudio Sacchi (eds.)

ISBN-10: 3642238246

ISBN-13: 9783642238246

This ebook constitutes the completely refereed post-conference complaints of the 3rd overseas ICST convention on own satellite tv for pc companies, PSATS 2011, held in Malaga, Spain, in February 2011. The 33 revised complete papers awarded have been conscientiously reviewed and chosen and canopy quite a lot of subject matters akin to multimedia IP, subsequent new release satellite tv for pc networks, bandwidth allocation, aeronautic communications for air site visitors administration, DVB-S2, hybrid networks, hold up tolerant networking, channel estimation and interference administration, satellite tv for pc antenna layout, and localization systems.

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Extra resources for Personal Satellite Services: Third International ICST Conference, PSATS 2011, Malaga, Spain, February 17-18, 2011, Revised Selected Papers

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In the next section, we derive the beam Optimum Beam Bandwidth Allocation Based on Traffic Demands 35 profile for bandwidth based on traffic demands and channel conditions to minimize the waste of the resource and to maximize the spectral efficiency, thereby achieving optimum beam allocation method. 1 Derivation of Optimum Beam Bandwidth Profile As one of the metrics to evaluate the system performance of resource allocation over satellite downlinks, the authors in [2] addressed some tradeoff between different objects for system optimization.

Qmax . More specifically, ⎧ (Σl ) (Σl −Q) ⎪ · [ q∈ (Q) Vq ]−1 ⎪ ⎨ Π0 = Π (Σl ) (Σl ) −1 V1 = Z0,0 · [Z1,0 ] (13) ⎪ (Σl ) (Σl ) (Σl ) −1 ⎪ ⎩ Vq = −Vq−2 · Zq−2,q−1 − Vq−1 · Zq−1,q−1 ] · [Zq,q−1 where the array of the stationary state probabilities for the states of the system depends on the stationary state probabilities of the process identified as Σl − Q. Also, an emission rate array Λ(Σl ) can be used to describe the rate of emissions depending on the criticality state of the cluster. N C max Πy l · Pr{N CC1 = l} where max max P r{ClusterC }l · (1 − P r{ClusterC })N C −l P r{N CC1 = l} = N Cl (Σ ) (14) and P r{ClusterC } is the probability of the criticality state of the cluster and N C max is the maximum number of clusters in the area.

4 Performance Analysis In this section we investigate the loss probability and the delay distribution. Loss Analysis. The buffer at the gateway can both queue or drop packets. To this purpose, the following scheme is employed for buffer management: – The buffer queues packets independently of their criticality level as soon as the queue length remains below an appropriate threshold qT h ; – When the buffer queue length is between qT h and qmax , low criticality level packets are dropped with probability 1; – When the queue length is equal to the maximum qmax , all packets are dropped with probability 1, independently of their criticality level.

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Personal Satellite Services: Third International ICST Conference, PSATS 2011, Malaga, Spain, February 17-18, 2011, Revised Selected Papers by Borja de la Cuesta, Isaac Moreno Asenjo, Ana Yun Garcia, Juan Manuel Rodriguez Bejarano (auth.), Giovanni Giambene, Claudio Sacchi (eds.)


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