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Statistically robust resource allocation for distributed multi-carrier cooperative networks

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Abstract

In this paper, we investigate joint subcarrier and power allocation scheme for distributed multicarrier cooperative networks with imperfect channel state information. Using practical channel estimation algorithms, the statistic model of the channel estimation error is first derived. Then based on the channel error model, the resource allocation scheme aims at maximizing the sum rate of the overall network. Specifically, both subcarrier allocation and power allocation are taken into account. In the subcarrier allocation, a realistic problem of the power leakage between neighboring subcarriers is also addressed. Furthermore, based on Lagrange dual-decomposition algorithm, a practical power allocation algorithm is proposed. Finally, the simulation results demonstrate the performance advantages of the proposed robust design.

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References

  1. Doufexi A, Armour S. Design considerations and physical-layer performance results for 4G OFDMA system employing dynamic subcarrier allocation. In: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Berlin, 2005. 357–361

  2. Wha S J, Sang S J, Dong G J. Efficient resource allocation for OFDMA-based two-hop relay systems. IEEE Trans Veh Technol, 2011, 60: 2378–2383

    Article  Google Scholar 

  3. Bulakci O, Saleh A B, Redana S, et al. Flexible backhaul resource sharing and uplink power control optimization in LTE-advanced relay networks. In: Proceedings of IEEE Vehicular Technology Conference, San Francisco, 2011. 1–6

  4. Pan Y W, Nix A, Beach M. Distributed resource allocation for OFDMA-based relay networks. IEEE Trans Veh Technol, 2011, 60: 919–931

    Article  Google Scholar 

  5. Song G, Li Y. Cross-layer optimization for OFDM wireless networks, part II: algorithm development. IEEE Trans Wirel Commun, 2005, 4: 614–624

    Article  Google Scholar 

  6. Pan Y W, Nix A, Beach M. Distributed resource allocation for OFDMA-based relay networks. IEEE Trans Veh Technol, 2011, 60: 919–931

    Article  Google Scholar 

  7. Wong C Y, Cheng R S, Letaief K B. Multiuser OFDM with adaptive subcarrier, bit and power allocation. IEEE J Sel Areas Commun, 1999, 17: 1747–1758

    Article  Google Scholar 

  8. Rhee W, Cioffi J M. Increase in capacity of multiuser OFDM system using dynamic subchannel allocation. In: Proceedings of IEEE Vehicular Technology Conference, Tokyo, 2000. 1085–1089

  9. Jang J, Lee K B. Transmit power adaptation for multiuser OFDM systems. IEEE J Sel Areas Commun, 2003, 21: 171–178

    Article  Google Scholar 

  10. Laneman J N, Tse D N C, Wornell G W. Cooperative diversity in wireless networks: efficient protocols and outage behavior. IEEE Trans Inf Theory, 2004, 50: 3062–3080

    Article  MathSciNet  Google Scholar 

  11. Yu G D, Zhang Z Y, Chen Y, et al. Power allocation for non-regenerative OFDM relaying channels. In: Proceedings of IEEE Wireless Communications, Networking and Mobile Computing, Wuhan, 2005. 185–188

  12. Cui Y, Lau V K N, Wang R. Distributive subband allocation, power and rate control for relay-assisted OFDMA cellular system with imperfect system state knowledge. IEEE Trans Wirel Commun, 2009, 8: 5096–5102

    Article  Google Scholar 

  13. She J, Yu G, Zhang Z, et al. Resource allocation in OFDM based multihop wireless networks. In: Proceedings of IEEE Vehicular Technology Conference, Melbourne, 2006. 319–323

  14. Kwak R, Cioffi J M. Resource-allocation for OFDMA multi-hop relaying downlink systems. In: Proceedings of IEEE Global Telecommunications Conference, Washington DC, 2007. 3225–3229

  15. Baum D S, Hansen J, Salo J. An interim channel model for beyond-3G systems: extending the 3GPP spatial channel model (SCM). In: Proceedings of IEEE Vehicular Technology Conference, Stockholm, 2005. 3132–3136

  16. Mallik R K, Winters J H. Optimum receiver for a realistic transmitCreceive diversity system in correlated fading. IEEE Trans Inf Theory, 2008, 54: 5456–5468

    Article  MathSciNet  Google Scholar 

  17. Stuber G L. Principles of Mobile Communication. 2nd ed. Dordrecht: Kluwer Academic, 2001

    Google Scholar 

  18. Gora J, Redana S. Resource management issues for multi-carrier relay-enhanced systems. EURASIP J Wirel Commun Netw, 2012: 124

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Authors and Affiliations

  1. School of Information Science and Engineering, Beijing Institute of Technology, Beijing, 100081, China

    ChengWen Xing, ZeSong Fei, Na Li, YanTao Han & JingMing Kuang

  2. Department of Electrical Engineering (ISY), Linköping University, Linköping, 58183, Sweden

    Danyo Danev

Authors
  1. ChengWen Xing
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  2. ZeSong Fei
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  3. Na Li
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  4. YanTao Han
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  5. Danyo Danev
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  6. JingMing Kuang
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Correspondence to ChengWen Xing.

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Xing, C., Fei, Z., Li, N. et al. Statistically robust resource allocation for distributed multi-carrier cooperative networks. Sci. China Inf. Sci. 56, 1–13 (2013). https://doi.org/10.1007/s11432-012-4767-4

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  • DOI: https://doi.org/10.1007/s11432-012-4767-4

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