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Pan, Cunhua; Zhu, Huiling; Gomes, Nathan J.; Wang, Jiangzhou (2017)
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Languages: English
Types: Unknown
Subjects: TK5103.4
This paper jointly optimizes the precoding matrices and the set of active remote radio heads (RRHs) to minimize the network power consumption for a cloud radio access network (C-RAN) where both the RRHs and users all have multiple antennas. Both users’ rate requirements and per-RRH power constraints are considered. Due to these conflicting constraints, this optimization problem may be infeasible. We propose to solve this problem with two phases. In Phase I, a new approach is proposed to check the feasibility of the original problem. If the feasibility is guaranteed, in Phase II, a low-complexity algorithm is proposed to solve the original optimization problem. Simulation results demonstrate the rapid convergence of the proposed algorithms and the benefits of equipping multiple antennas at the user side.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] C. Mobile, “C-ran: the road towards green RAN,” White Paper, ver, vol. 2, 2011.
    • [2] N. Alliance, “Suggestions on potential solutions to C-RAN,” White Paper, January, 2013.
    • [3] H. Zhu, “Performance comparison between distributed antenna and microcellular systems,” IEEE J. Sel. Areas Commun., vol. 29, no. 6, pp. 1151-1163, 2011.
    • [4] J. Wang, H. Zhu, and N. Gomes, “Distributed antenna systems for mobile communications in high speed trains,” IEEE J. Sel. Areas Commun., vol. 30, no. 4, pp. 675-683, 2012.
    • [5] L. Correia, D. Zeller, O. Blume, D. Ferling, Y. Jading, I. Godor, G. Auer, and L. Van der Perre, “Challenges and enabling technologies for energy aware mobile radio networks,” IEEE Commun. Mag., vol. 48, no. 11, pp. 66-72, 2010.
    • [6] D. Ng and R. Schober, “Secure and green SWIPT in distributed antenna networks with limited backhaul capacity,” IEEE Trans. Wireless Commun., vol. 14, no. 9, pp. 5082-5097, 2015.
    • [7] V. Ha, L. Le, and N. Dao, “Coordinated multipoint (CoMP) transmission design for Cloud-RANs with limited fronthaul capacity constraints,” IEEE Trans. Veh. Technol., vol. PP, no. 99, pp. 1-1, 2015.
    • [8] Y. Shi, J. Zhang, and K. Letaief, “Group sparse beamforming for green Cloud-RAN,” IEEE Trans. Wireless Commun., vol. 13, no. 5, pp. 2809- 2823, 2014.
    • [9] S. Luo, R. Zhang, and T. J. Lim, “Downlink and uplink energy minimization through user association and beamforming in C-RAN,” IEEE Trans. Wireless Commun., vol. 14, no. 1, pp. 494-508, 2015.
    • [10] J. Tang, W. P. Tay, and T. Quek, “Cross-layer resource allocation with elastic service scaling in cloud radio access network,” IEEE Trans. Wireless Commun., vol. 14, no. 9, pp. 5068-5081, 2015.
    • [11] B. Dai and W. Yu, “Energy efficiency of downlink transmission strategies for cloud radio access networks,” arXiv preprint arXiv:1601.01070, 2016.
    • [12] K. Wang, R. Mauermayer, L. Li, and T. Eibert, “A highly compact broadband near-edge antenna for low profile communication devices,” in Antennas and Propagation (EuCAP), 2015 9th European Conference on, 2015, pp. 1-5.
    • [13] Q. Shi, M. Razaviyayn, Z.-Q. Luo, and C. He, “An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel,” IEEE Trans. Signal Process., vol. 59, no. 9, pp. 4331-4340, 2011.
    • [14] T. M. Cover and J. A. Thomas, Elements of information theory. John Wiley & Sons, 2012.
    • [15] B. K. Natarajan, “Sparse approximate solutions to linear systems,” SIAM journal on computing, vol. 24, no. 2, pp. 227-234, 1995.
    • [16] H. Zhu and J. Wang, “Chunk-based resource allocation in ofdma systems - part i: chunk allocation,” IEEE Transactions on Communications, vol. 57, no. 9, pp. 2734-2744, 2009.
    • [17] --, “Chunk-based resource allocation in ofdma systemsłpart ii: Joint chunk, power and bit allocation,” IEEE Transactions on Communications, vol. 60, no. 2, pp. 499-509, 2012.
    • [18] H. Zhu, “Radio resource allocation for ofdma systems in high speed environments,” IEEE Journal on Selected Areas in Communications, vol. 30, no. 4, pp. 748-759, 2012.
    • [19] G. Auer, V. Giannini, C. Desset, I. Godor, P. Skillermark, M. Olsson, M. Imran, D. Sabella, M. Gonzalez, O. Blume, and A. Fehske, “How much energy is needed to run a wireless network?” IEEE Wireless Commun. Mag., vol. 18, no. 5, pp. 40-49, 2011.
    • [20] A. Dhaini, P.-H. Ho, G. Shen, and B. Shihada, “Energy efficiency in TDMA-based next-generation passive optical access networks,” IEEE/ACM Transactions on Networking,, vol. 22, no. 3, pp. 850-863, 2014.
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