Multibeam satellite frequency/time duality study and capacity optimization

Jiang, Lei; Vázquez-Castro, M. A.

doi:10.1109/jcn.2011.6112304

Cited by 73 publications

(53 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to get an estimation of the complexity growth as a function of the main system and algorithm parameters, in the following we assume that a multiplication or a division between two m bits numbers requires m 2 elementary operations while m operations are required for an addition or a subtraction 9 . Assuming that each number is represented with an m-bits precision, N TWTA × (m 2 + m) operations are required to calculate the denominator and 2m 2 more are needed to calculate the numerator and perform the division.…”

Section: Analysis Of Computational Complexitymentioning

confidence: 99%

“…The effectiveness of both options heavily depend on the specific payload design (e.g., number of traveling-wave tube amplifiers (TWTA) and structure of the payload connection matrix) and on the constraints (e.g., mass and available power) imposed by state-of-the-art technology. In [8], [9] the problem of time/beam allocation is studied in the presence of traffic asymmetry. In the papers a closed form solution for the optimal resource allocation in a simplified setup with no interference is derived for two different utility functions, aiming at matching the requested bitrate and maximizing the product of the ratios between the offered and requested capacity across the beams, respectively.…”

Section: Introductionmentioning

confidence: 99%

“…In [9], [10] the advantages of multi-beam with respect to single beam satellite systems are studied considering different performance metrics. Specifically, the optimal power allocation is derived for two different objective functions, one leading to throughput maximization and the other related to fairness.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Radio Resource Management Optimization of Flexible Satellite Payloads for DVB-S2 Systems

Cocco

Cola

Angelone

et al. 2018

IEEE Trans. on Broadcast.

128

147

View full text Add to dashboard Cite

The increasing demand for high-rate broadcast and multicast services over satellite networks has pushed for the development of High Throughput Satellites characterized by a large number of beams (e.g., more than 100). This, together with the variable distribution of data traffic request across beams and over time, has called for the design of a new generation of satellite payloads, able to flexibly allocate bandwidth and power. In this context, this paper studies the problem of radio resource allocation in the forward link of multibeam satellite networks adopting the Digital Video Broadcasting -Satellite -Second Generation (DVB-S2) standard. We propose a novel objective function with the aim to meet as close as possible the requested traffic across the beams while taking fairness into account. The resulting non-convex optimization problem is solved using a modified version of the simulated annealing algorithm, for which a detailed complexity analysis is presented. Simulation results obtained under realistic conditions confirm the effectiveness of the proposed approach and shed some light on possible payload design implications.

show abstract

Section: Analysis Of Computational Complexitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Radio Resource Management Optimization of Flexible Satellite Payloads for DVB-S2 Systems

Cocco

Cola

Angelone

et al. 2018

IEEE Trans. on Broadcast.

128

147

View full text Add to dashboard Cite

show abstract

“…One possible solution of the full spectrum reutilization is to separate the cells illuminated by small beams in time domain (one beam illuminates only one cell at one time), which is called beam hopping (BH) [1][2][3][4][5][6][7][8][9][10][11]. Additional welfare of this technology is that less payload is needed to perform the same communication task, because less beams are needed.…”

Section: Introductionmentioning

confidence: 99%

“…Pecorella proposes an implementable system scheme of beam hopping for DVB-RCS in [7] while J. Anzalchi performs detailed system simulation and performance comparison with non-hopped systems in [8]. Jiang proposes two novel capacity optimization approaches considering the power and carrier allocation in [9], and shows that BH system turns out better than multi-beam non-orthogonal frequency reuse system especially for non-real time services. As for the beam hopping antennas, the author of [10] presents a more-realistic focal-array-fed reflector antenna framework based on a cell-reuse scheme.…”

Section: Introductionmentioning

confidence: 99%

QoS-equilibrium slot allocation for beam hopping in broadband satellite communication systems

Han

Zheng

Huang³

et al. 2015

Wireless Netw

View full text Add to dashboard Cite

In broadband satellite communication systems, beam hopping (BH) is more and more welcome to compensate the low-power-efficiency wide beam and the lowspectrum-efficiency multiple spot beams simultaneously. As a flexible coverage method, BH demands efficient hopping strategy to reach the desired quality of service (QoS). In this paper, we consider the QoS equilibrium, in particular the delay fairness, among different cells illuminated by one hopping beam through designing the hopping strategy on the condition of capacity satisfaction. Due to the physical limitation that hopping speed is much slower than packet arrival speed, the ideal first-come-first-serve packet scheduling is not realizable, which compels us to pursuit the optimal slot scheduling instead. In this paper, we consider a long-term delay fairness problem by perperiod slot allocation for BH, using instantaneous and statistical information. To deal with the complex stochastic programming problem, we introduce the time-sharing principle to uncouple the variables and adopt stochastic gradient theory to deduce the suboptimal close-form solution. Our contributions are in three folds: firstly, it is the first time to consider the delay fairness not the traditional capacity fairness for BH; secondly, a general per-period decision scheme is proposed for the unique slot allocation in the perspective of queuing; thirdly, a suboptimal closeform solution for the per-period slot allocation is obtained, which could also cope with burst traffic cases. In simulation, we verify our method's advantage in terms of delay fairness comparing with the existing similar works.

show abstract

A tradeoff resource allocation based on MF‐TDMA scheme in the multibeam data relay satellite systems

Wang

Zhao

et al. 2018

Satell Commun Network

View full text Add to dashboard Cite

A tremendous increase in the number of distributed satellite constellations with the unscheduled burst data traffic will impose addition and diverse requirements on the DRS (data relay satellite) systems, which increases the complexity for beam management and affects a real-time data return and acquisition. In this paper, we suggested that a large capacity can be achieved by a multibeam DRS system based on multifrequency time division multiple access scheme providing multiaccess for the distributed satellite constellations. Because the space-based information network is characterized by the limited on-board resources, a highly dynamic topology and time-varying intersatellite links, we designed a 2-stage dynamic optimization approach to separate the multiobjective optimization for frequency/time blocks and power, aiming at the rapidly converging to the optimal solution and at the same time meeting the fairness resource allocation. In particular, a capacity-fairness tradeoff algorithm is proposed based on hybrid the enhanced genetic algorithm and the particle swarm optimization.Simulation results show that the tradeoff between maximizing total capacity and providing proportional fairness allocation is well balanced. The proposed algorithm can rapidly converge to adapt to the highly dynamic topology in data relay satellite systems. KEYWORDS data relay satellite systems, space-based information networks, multiple beams, resource allocation, satellite communications, proportional fairness 1 | INTRODUCTION Space-based information network (SBIN) with the cooperation scheme of the data relay satellite (DRS) systems have a significant role of achieving a real-time data return and acquisition for mission satellites in the low-earth orbit (LEO) or medium-earth orbit, which can offer an uninterrupted coverage and greatly improve monitoring capabilities. 1,2 The traditional on-board beam management technique 3 has been deployed in a DRS to schedule data packets from the DRS to a single satellite. In recent years, the distributed satellite constellation 4 contributes innovative applications (such as disaster prevention and mitigation, military reconnaissance, and removal of space debris) by replacing a single large satellite with several very capable spacecrafts, which opens the door to new applications. 5It can be predicted that a tremendous increase in the number of distributed satellite constellations will impose addition and very diverse requirements on the SBIN. More specially, far more stringent latency and greater capacity requirements are expected to support the real-time data interaction between the distributed satellite constellations, such as the proximity operations and cooperative communications. The different distributed satellite constellations with the unscheduled burst data traffic increase the complexity for beam management, which presents a new challenge for the DRS systems. To tackle the challenges aforementioned above, the multibeam DRS system 6 is ideally suited to deploy such a network as described. The ...

show abstract

Multibeam satellite frequency/time duality study and capacity optimization

Cited by 73 publications

References 22 publications

Radio Resource Management Optimization of Flexible Satellite Payloads for DVB-S2 Systems

Radio Resource Management Optimization of Flexible Satellite Payloads for DVB-S2 Systems

QoS-equilibrium slot allocation for beam hopping in broadband satellite communication systems

A tradeoff resource allocation based on MF‐TDMA scheme in the multibeam data relay satellite systems

Contact Info

Product

Resources

About