Global Resource Manager for Mobile Satellite Systems Employing Non-uniform Frequency Allocations (original) (raw)
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Resource and Network Management Framework for a Large-Scale Satellite Communications System
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Satellite communications (SATCOM) systems play important roles in wireless communication systems. In the future, they will be required to accommodate rapidly increasing communication requests from various types of users. Therefore, we propose a framework for efficient resource management in large-scale SATCOM systems that integrate multiple satellites. Such systems contain hundreds of thousands of communication satellites, user terminals, and gateway stations; thus, our proposed framework enables simpler and more reliable communication between users and satellites. To manage and control this system efficiently, we formulate an optimization problem that designs the network structure and allocates communication resources for a large-scale SATCOM system. In this mixed integer programming problem, we allow the cost function to be a combination of various factors so that SATCOM operators can design the network according to their individual management strategies. These factors include the total allocated bandwidth to users, the number of satellites and gateway stations to be used, and the number of total satellite handovers. Our numerical simulations show that the proposed management strategy outperforms a conventional strategy in which a user can connect to only one specific satellite determined in advance. Furthermore, we determine the effect of the number of satellites in the system on overall system performance.
Interference-Limited Dynamic Resource Management for an Integrated Satellite-Terrestrial System
ETRI Journal, 2014
An integrated multi-beam satellite and multi-cell terrestrial system is an attractive means for highly efficient communication due to the fact that the two components (satellite and terrestrial) make the most of each other's resources. In this paper, a terrestrial component reuses a satellite's resources under the control of the satellite's network management system. This allows the resource allocation for the satellite and terrestrial components to be coordinated to optimize spectral efficiency and increase overall system capacity. In such a system, the satellite resources reused in the terrestrial component may bring about severe interference, which is one of the main factors affecting system capacity. Under this consideration, the objective of this paper is to achieve an optimized resource allocation in both components in such a way as to minimize any resulting inter-component interference. The objective of the proposed scheme is to mitigate this intercomponent interference by optimizing the total transmission power-the result of which can lead to an increase in capacity. The simulation results in this paper illustrate that the proposed scheme affords a more energyefficient system to be implemented, compared to a conventional power management scheme, by allocating the bandwidth uniformly regardless of the amount of interference or traffic demand.
Resource management in satellite communication systems — Heuristic algorithms
The high cost of frequency bandwidth in satellite communication emphasizes the need for good algorithms to cope with the resource allocation problem. In systems using DVB-S2 links, the optimization of resource allocation may be related to the classical multi-knapsack problem. Resource management should be carried out according to the requests of subscribers, their priority levels, and assured bandwidths. A satisfaction measure is defined to estimate the allocation processes. Heuristic algorithms together with some innovative scaling schemes are presented and compared using Monte Carlo simulation based on a traffic model introduced here.
European Transactions on Telecommunications, 1997
Dynamic Channel Allocation (DCA) techniques permit a high resource utilization in cellular networks and are able to adapt themselves in the presence of rapid variations of traffic loads offered to the cells. Therefore, they are particularly suitable for Mobile Satellite Systems (MSSs). This paper compares the performance of several DCA solutions that are based on the evaluation of a cost function in terms of both quality of service parameters (i.e., blocking probabilities) and signaling load to be supported by the system. Both GEostationary Orbit (GEO) and Low Earth Orbit (LEO) MSSs have been considered. A particularly interesting DCA solution is proposed that tries to serve a new call attempt in a cell where no channel is available by means of a channel reconfiguration in an interfering cell. Handover requests that do not attain immediately service can be queued for a maximum time in order to enhance system performance.
This paper proposes an heuristic for the scheduling of capacity requests and the periodic assignment of radio resources in geostationary (GEO) satellite networks with star topology, using the Demand Assigned Multiple Access (DAMA) protocol in the link layer, and Multi-Frequency Time Division Multiple Access (MF-TDMA) and Adaptive Coding and Modulation (ACM) in the physical layer. The objective is to design an algorithm that allows processing a given traffic profile with packet expiration time as delay constraints and a maximum packet loss rate, using the minimum possible spectrum bandwidth. When there is not any structure imposed to the MF-TDMA super-frame, the resourceassignment problem becomes a combinatorial problem which can be seen as a two-dimension (2D) oriented strip packing problem with additional constraints. The well-known Best Fit Decreasing Height (BFDH) heuristic for 2D packing is used as a basis for the proposed allocation algorithm, which should be able to obtain a set of candidate solutions in the order of a few hundredths of milliseconds. Later it is proposed to randomize and parallelize the heuristic in order to produce several candidate solutions, among which to select the optimum, which is the one that minimizes the overall bandwidth consumption.
Dynamic channel allocation scheme for mobile satellite systems
2003
A new dynamic channel allocation scheme (DCAS) has been proposed for mobile satellite systems with the aim of improving the utilization of the network resources by reducing the handoff call dropping probability (HODP) while guaranteeing a certain quality of service for the new call blocking probability (NCBP). The arriving calls are given channels based on their priority. The handoff calls
On Channel Sharing Policies in LEO Mobile Satellite Systems
IEEE Transactions on Aerospace and Electronic Systems, 2018
We consider a low earth orbit (LEO) mobile satellite system with "satellite-fixed" cells that accommodates new and handover calls of different service-classes. We provide an analytical framework for the efficient calculation of call blocking and handover failure probabilities under two channel sharing policies, namely the fixed channel reservation and the threshold call admission policies. Simulation results verify the accuracy of the proposed formulas. Furthermore, we discuss the applicability of the policies in software-defined LEO satellites. Index Terms-Low earth orbit (LEO) satellite, mobile satellite system, channel sharing policies, call blocking, software-defined network.
Dynamic Power Allocation for Broadband Multi-Beam Satellite Communication Networks
IEEE Communications Letters, 2011
Broadband satellite communication networks, operating at Ka band and above, play a significant role to worldwide telecommunication infrastructure, providing backhaul and direct-to-user satellite services. Rain attenuation at these frequencies is the most dominant impairment factor that degrades the performance of the system. The dynamic reconfiguration of multi-beam satellite antennas has recently been proposed as a fading mitigation technique. In this paper, the problem of finding the power allocation among the beams of such an antenna, aiming that the number of subscribers not receiving the desired quality of service is minimized is addressed for a satellite communications system with a GEO satellite serving fixed earth terminals. An algorithm for the dynamic power allocation using a physical-mathematical model for rain attenuation prediction is proposed. Extended simulation results highlight the improvement of the dynamic scheme over the static allocation based on long term rain attenuation characteristics.
A Heuristic Algorithm for the Resource Assignment Problem in Satellite Telecommunication Networks
This paper proposes a heuristic algorithm for solving the scheduling of capacity requests and the periodic assignment of radio re-sources in a geostationary satellite network with a star topology. The network uses the Demand Assigned Multiple Access protocol in the link layer, and the Multi-Frequency Time Division Multiple Access (MF-TDMA) as well as the Adaptive Coding and Modulation protocols in the physical layer. The proposed algorithm allows processing a given traffic profile with message expiration time as delay constrains and a maximum packet-loss rate. The processing is completed using the minimum possible spectrum bandwidth. When there is not any structure imposed to the MF-TDMA super-frame, the resource-assignment problem becomes a combinatorial optimization problem which can be seen as a two-dimension (2D) oriented strip packing problem with additional constrains. The well-known Best Fit Decreasing heuristic for 2D packing is used as a basis for the proposed allocation al...