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Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Languages: English
Types: Unknown
Subjects: TK5103.4

Classified by OpenAIRE into

arxiv: Computer Science::Information Theory
Millimetre waves (mm-Waves) with massive multiple input and multiple output (MIMO) have the potential to fulfill fifth generation (5G) traffic demands. In this paper, a hybrid digital-to-analog (D-A) precoding system is investigated and a particle swarm optimisation (PSO) based joint D-A precoding optimisation algorithm is proposed. This algorithm maximises the capacity of the hybrid D-A mm-Wave massive MIMO system. The proposed algorithm is compared with three known hybrid D-A precoding algorithms. The analytical and simulation results show that the proposed algorithm achieves higher capacity than the existing hybrid D-A precoding algorithms.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Analog precoder optimised [4], N=2, M = 16.
    • D = I, A = normalised of HH [7,8,10,11], N=2, M = 16.
    • SVD−based hybrid D−A precoding,[9], N=2, M = 16.
    • Proposed PSO based on hybrid D−A precoding, N=2, M = 16.
    • Optimal unconstrained precoding (sub−antenna array) [9] N=2, M = 16.
    • [2] S. Sun, T. Rappaport, R. W. Heath Jr., A. Nix, and S. Rangan, “MIMO for [3] J. Geng, W. Xiang, Z. Wei, N. Li, and D. Yang, “Multi-user hybrid [4] O. El Ayach, R. W. Heath Jr., S. Rajagopal, and Z. Pi, “Multimode [5] O. El Ayach, S. Rajagopal, S. Abu-Surra, Z. Pi, and R. W. Heath Jr., [6] T. Kim, J. Park, J.-Y. Seol, S. Jeong, J. Cho, and W. Roh, “Tens of [10] S. Han, C.-L. I., C. Rowell, Z. Xu, S. Wang, and Z. Pan, “Large scale [21] Y. Zhou, H. Liu, Z. Pan, L. Tian, J. Shi, and G. Yang, “Two-Stage and Guaranteed Coverage,” IEEE Journal on Selected Areas in Com., vol. 32, no. 2, pp. 274-284, Feb. 2014.
    • [22] V. Garcia, Y. Zhou, and J. Shi, “Coordinated Multipoint Transmission in Dense Cellular Networks With User-Centric Adaptive Clustering,” IEEE [23] H. Zhu and J. Wang, “Performance Analysis of Chunk-Based Resource Allocation in Multi-Cell OFDMA Systems,” IEEE Journal on Selected Areas in Com., vol. 32, no. 2, pp. 367-375, Feb. 2014.
    • [24] H. Osman, H. Zhu, D. Toumpakaris, and J. Wang, “Achievable Rate Evaluation of In-Building Distributed Antenna Systems,” IEEE Transactions on Wireless Com., vol. 12, no. 7, pp. 3510-3521, Jul. 2013.
    • [25] T. Alade, H. Zhu, and J. Wang, “Uplink Spectral Efficiency Analysis of In-Building Distributed Antenna Systems,” IEEE Transactions on Wireless Com., vol. 14, no. 7, pp. 4063-4074, Jul. 2015.
    • [26] H. Zhu, S. Karachontzitis, and D. Toumpakaris, “Low-complexity resource allocation and its application to distributed antenna systems [Coordinated and Distributed MIMO],” IEEE Wireless Communications, vol. 17, no. 3, pp. 44-50, Jun. 2010.
    • [27] H. Zhu, “On frequency reuse in cooperative distributed antenna systems,” IEEE Communications Magazine, vol. 50, no. 4, pp. 85-89, Apr. 2012.
    • [28] H. Zhu, B. Xia, and Z. Tan, “Performance Analysis of Alamouti Transmit Diversity with QAM in Imperfect Channel Estimation,” IEEE Journal on Selected Areas in Communications, vol. 29, no. 6, pp. 1242-1248, Jun. 2011.
    • [29] A. Mahbas, H. Zhu, and J. Wang, “Unsynchronized Small Cells with a Dynamic TDD System in a Two-Tier HetNet,” in 2016 IEEE 83rd, (VTC Spring), May. 2016, pp. 1-6.
    • [30] A. Kammoun, H. Khanfir, Z. Altman, M. Debbah, and M. Kamoun, “Preliminary results on 3D channel modeling: from theory to standardization,” IEEE Journal on Selected Areas in Com., vol. 32, no. 6, pp. 1219-1229, Jun. 2014.
    • [31] M. Nair, Q. Z. Ahmed, and H. Zhu, “Hybrid Digital-to-Analog Beamforming for Millimeter-Wave Systems with High User Density,” to appear in IEEE Global Com. Conference (GLOBECOM”16), Dec. 2016.
    • [32] H. Zhu and J. Wang, “Radio Resource Allocation in Multiuser Distributed Antenna Systems,” IEEE Journal on Selected Areas in Com., vol. 31, no. 10, pp. 2058-2066, Oct. 2013.
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