Journal of Communications and Networks

The Korean Institute of Commucations and Information Sciences (한국통신학회)
권호 표지
DOI QR코드

DOI QR Code

Tradeoff between Energy-Efficiency and Spectral-Efficiency by Cooperative Rate Splitting

  • Yang, Chungang (State Key Lab. of ISN, Xidian University) ;
  • Yue, Jian (State Key Lab. of ISN, Xidian University) ;
  • Sheng, Min (State Key Lab. of ISN, Xidian University) ;
  • Li, Jiandong (State Key Lab. of ISN, Xidian University)
  • Received : 2013.08.30
  • Published : 2014.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

The trend of an increasing demand for a high-quality user experience, coupled with a shortage of radio resources, has necessitated more advanced wireless techniques to cooperatively achieve the required quality-of-experience enhancement. In this study, we investigate the critical problem of rate splitting in heterogeneous cellular networks, where concurrent transmission, for instance, the coordinated multipoint transmission and reception of LTE-A systems, shows promise for improvement of network-wide capacity and the user experience. Unlike most current studies, which only deal with spectral efficiency enhancement, we implement an optimal rate splitting strategy to improve both spectral efficiency and energy efficiency by exploring and exploiting cooperation diversity. First, we introduce the motivation for our proposed algorithm, and then employ the typical cooperative bargaining game to formulate the problem. Next, we derive the best response function by analyzing the dual problem of the defined primal problem. The existence and uniqueness of the proposed cooperative bargaining equilibrium are proved, and more importantly, a distributed algorithm is designed to approach the optimal unique solution under mild conditions. Finally, numerical results show a performance improvement for our proposed distributed cooperative rate splitting algorithm.

Keywords

References

  1. NTT DOCOMO, "Requirements, Candidate Solutions & Technology, Roadmap for LTE Rel-12 onward," 3GPP RWS-120010, June 2012.
  2. A. Ghosh et al., "Heterogeneous cellular networks: From theory to practice," IEEE Commun. Mag., 50(6): 54-64, 2012.
  3. D. Lopez-Perez et al., "Enhanced intercell interference coordination challenges in heterogeneous networks," IEEE Wireless Commun., 18(3): 22-30, 2011.
  4. B. Soret et al., "Multicell cooperation for LTE-advanced heterogeneous network scenarios," IEEE Wireless Commun., 20(1): 27-34, 2013. https://doi.org/10.1109/MWC.2013.6472196
  5. R.C. Xie et al., "Energy-Efficient resource allocation for heterogeneous cognitive radio networks with femtocells," IEEE Trans. Wireless Commun., 11(11): 3910-3920, 2012. https://doi.org/10.1109/TWC.2012.092112.111510
  6. M. Ismail and W. Zhuang, "Network cooperation for energy saving in green radio communications," IEEE Wireless Commun., 18(5): 76-81,2011. https://doi.org/10.1109/MWC.2011.6056695
  7. Z. Niu et al., "Energy-aware network planning for wireless cellular system with inter-cell cooperation," IEEE Trans.Wireless Commun., 11(4): 1412- 1423, 2012. https://doi.org/10.1109/TWC.2012.021412.110147
  8. S. Kaimaletu et al., "Cognitive interference management in heterogeneous femto-Macro cell networks," in Proc. IEEE ICC, 2011, pp.1-6.
  9. G. Gur and F. Alagoz, "Green wireless communications via cognitive dimension: an overview," IEEE Netw., 25(2): 50-56, 2011.
  10. C. Yang et al., "Green HetNets: A cognitive radio idea," IET Commun., 6(13): 1952-1959, 2012. https://doi.org/10.1049/iet-com.2011.0801
  11. C. Xiong et al., "Energy- and spectral-efficiency tradeoff in downlink OFDMA networks," IEEE Trans. Wireless Commun., 11(11): 3910-3920, 2012. https://doi.org/10.1109/TWC.2012.092112.111510
  12. P. Serrano, M. Hollick, and A. Banchs, "On the trade-off between throughput maximization and energy consumption minimization in IEEE 802.11 WLANs," J. Commun. Netw., 12(2): 150-157, 2010. https://doi.org/10.1109/JCN.2010.6391371
  13. G. Zhou,W. Xu, and G. Bauch, "Interference mitigation with rate splitting in multi-cell wireless networks," in Proc. WiMob, 2012, pp. 219-224.
  14. G. Zhou et al., "Multi-layer rate splitting scheme for interference mitigation in tri-sectored wireless networks," in Proc. IEEE ICC, 2012, pp. 4202-4206.
  15. C.W. Sung, "A generalized framework for distributed power control in wireless networks," IEEE Trans. Inf. Theory, 51(7): 2625-2635, 2005. https://doi.org/10.1109/TIT.2005.850045
  16. C.G. Yang, J.D. Li, and Z. Tian, "Optimal power control for cognitive radio networks with coupled interference constraints: A cooperative gametheoretic perspective," IEEE Trans. Veh. Technol., 59(4): 1696-1706,2010. https://doi.org/10.1109/TVT.2009.2039502
  17. M. Maskery, V. Krishnamurthy, and Q. Zhao, "Decentralized dynamic spectrum access for cognitive radios: Cooperative design of a noncooperative game," IEEE Trans. Commun., 57(2): 459-469, 2009. https://doi.org/10.1109/TCOMM.2009.02.070158