ETRI Journal

Electronics and Telecommunications Research Institute (한국전자통신연구원)
권호 표지
DOI QR코드

DOI QR Code

A Dynamic Bandwidth Allocation Scheme for a Multi-spot-beam Satellite System

  • Park, Unhee (Broadcasting & Telecommunications Convergence Research Laboratory, ETRI) ;
  • Kim, Hee Wook (Broadcasting & Telecommunications Convergence Research Laboratory, ETRI) ;
  • Oh, Dae Sub (Broadcasting & Telecommunications Convergence Research Laboratory, ETRI) ;
  • Ku, Bon-Jun (Broadcasting & Telecommunications Convergence Research Laboratory, ETRI)
  • Received : 2011.10.18
  • Accepted : 2012.03.07
  • Published : 2012.08.30
Download PDF
⟨ Previous Next ⟩

Abstract

A multi-spot-beam satellite is an attractive technique for future satellite communications since it can support high data rates by projecting high power density to each spot beam and can reuse a frequency in different cells to increase the total system capacity. In this letter, we propose a resource management technique adjusting the bandwidth of each beam to minimize the difference between the traffic demand and allocated capacity. This represents a reasonable solution for dynamic bandwidth allocation, considering a trade-off between the maximum total capacity and fairness among the spot beams with different traffic demands.

Keywords

References

  1. J. Ha, J. Kim, and S.-H. Kim, "Performance Analysis of Dynamic Spectrum Allocation in Heterogeneous Wireless Networks," ETRI J., vol. 32, no. 2, Apr. 2010, pp. 292-301. https://doi.org/10.4218/etrij.10.1409.0032
  2. M.J. Neely, E. Modiano, and C.E. Rohrs, "Power Allocation and Routing in Multibeam Satellites with Time-Varying Channels," IEEE/ACM Trans. Netw., vol. 11, no. 1, Feb. 2003, pp. 138-152. https://doi.org/10.1109/TNET.2002.808401
  3. J.P. Choi and V.W.S. Chan, "Optimum Power and Beam Allocation Based on Traffic Demand and Channel Conditions over Satellite Downlinks," IEEE Trans. Commun., vol. 4, no. 6, Nov. 2005, pp. 2983-2993.
  4. T.M. Cover and J.A. Thomas, Elements of Information Theory, New York: John Wiley & Sons, Inc., 1991.
  5. H.S. Jo, "Codebook-Based Precoding for SDMA-OFDMA with Spectrum Sharing," ETRI J., vol. 33, no. 6, Dec. 2011, pp. 831-840.
  6. V.J. Mathews and G.L. Sicuranza., Polynomial Signal Processing, New York: John Wiley & Sons, Inc., 2000.
  7. ITU-R, "Calculation of Free-Space Attenuation," Rec. P. 535-2, ITU, 1994.

Cited by

  1. Adaptive modulation and coding for Long Term Evolution‐based mobile satellite communication system vol.30, pp.5, 2012, https://doi.org/10.1002/sat.1015
  2. Optimal Bandwidth Scheduling of Networked Learning Control System Based on Nash Theory and Auction Mechanism vol.2013, pp.None, 2013, https://doi.org/10.1155/2013/540687
  3. An Asynchronous Burst Time Plan Generation Method for Broadband Satellite Multimedia System vol.7, pp.2, 2012, https://doi.org/10.3837/tiis.2013.02.012
  4. Adaptive Calibration Method in Multiport Amplifier for K-Band Payload Applications vol.35, pp.4, 2012, https://doi.org/10.4218/etrij.13.0212.0534
  5. A Multiple Frequency Channels Reserved Timeslots Assignment Algorithm for Real-Time Traffic in MF-TDMA Satellite System vol.73, pp.3, 2013, https://doi.org/10.1007/s11277-013-1218-5
  6. Optimization of Joint Power and Bandwidth Allocation in Multi-Spot-Beam Satellite Communication Systems vol.2014, pp.None, 2014, https://doi.org/10.1155/2014/683604
  7. Interference-Limited Dynamic Resource Management for an Integrated Satellite/Terrestrial System vol.36, pp.4, 2014, https://doi.org/10.4218/etrij.14.0113.0079
  8. QoS fairness-based slot allocation using backlog info in satellite-based sensor systems vol.51, pp.20, 2012, https://doi.org/10.1049/el.2015.0813
  9. SAT‐OFDM: a satellite radio interface for the IMT‐advanced system vol.33, pp.4, 2015, https://doi.org/10.1002/sat.1103
  10. Analysis of multi-port amplifier calibration for optimal magnitude and phase error detection vol.10, pp.1, 2012, https://doi.org/10.1049/iet-map.2015.0237
  11. A new satellite communication bandwidth allocation combined services model and network performance optimization vol.35, pp.3, 2017, https://doi.org/10.1002/sat.1181
  12. A Bandwidth Statistical Multiplexing and Control Method for Satellite Broadcasting vol.2020, pp.None, 2012, https://doi.org/10.1155/2020/8841006
  13. So many beams, so little time: Revenue Management in the next generation of flexible communication satellites vol.191, pp.None, 2012, https://doi.org/10.1016/j.actaastro.2021.08.001