Browse > Article
http://dx.doi.org/10.6109/jkiice.2019.23.12.1638

Opportunistic Precoding based on Adaptive Perturbation for MIMO Systems  

Nam, Tae-Hwan (Department of Electrical and Information Engineering, Seoul National University of Science and Technology)
An, Sun-hoe (Department of Electrical and Information Engineering, Seoul National University of Science and Technology)
Lee, Kyungchun (Department of Electrical and Information Engineering, Seoul National University of Science and Technology)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.23, no.12, 2019 , pp. 1638-1643 More about this Journal
Abstract
In this paper, we propose an adaptive-perturbation-aided opportunistic precoding (APOP) scheme for multiple-input multiple-output (MIMO) systems. To update a precoding matrix in MIMO systems, the proposed algorithm produces a random perturbation in each time slot. Then the additional adaptive perturbation is also applied, which depends on the reports of achievable data-rates from users. If the prior random perturbation increased the data rate, the adaptive perturbation is set to be the same as the prior random perturbation, otherwise the negative value of the prior random perturbation is applied for adaptive perturbation. Furthermore, to enhance the achievable data rates, the information on the stored precoding matrices in the memory as well as the currently generated precoding matrix is used for scheduling. Simulation results show that compared to conventional opportunistic precoding schemes, higher data rates are achieved by the proposed APOP scheme, especially when there are a relatively small number of users.
Keywords
MIMO; precoding; opportunistic precoding; beamforming; perturbation;
Citations & Related Records
연도 인용수 순위
  • Reference
1 C. Zhang and D. Yin, "A new multi-user transmit beamforming scheme for downlink MIMO channels," IEEE/ACES International Conference, 2016.
2 A. F. Molisch, V. V. Ratnam, S. Han, Z. Li, S. L. H. Nguyen, L. Li, and K. Haneda ""Hybrid beamforming for massive MIMO: a survey," IEEE Communications Magazine, vol. 55, no. 9, pp. 134-141, Sept. 2017.   DOI
3 N. T. Nguyen and K. Lee, "Coverage and cell-edge sum-rate analysis of mmWave massive MIMO systems with ORP schemes and MMSE receivers," IEEE Transactions on Signal Processing, vol. 66, no. 20, pp. 5349-5363, Oct., 2018.   DOI
4 P. Viswanath, D. N. C. Tse and R. Laroia, "Opportunistic beamforming using dumb antennas," IEEE Trans. Inf. Theory, vol. 48, no. 6, pp. 1277-1294, Jun. 2002.   DOI
5 I. R. Baran and B. F. Uchoa-Filho, "Exploiting time coherence in opportunistic beamforming for slow fading channels," in Proc. IEEE Wireless Commun. Netw. Conf., pp. 1753-1758, Apr. 2006.
6 C. Eklund, "IEEE standard 802.16: A technical overview of the wireless MAN air interface for broadband wireless access," IEEE Commun. Mag. col. 40, no. 6, pp. 98-107, Jun. 2002.   DOI
7 T. V. Le and K. Lee, "Adaptive Perturbation-Aided Opportunistic Beamforming," IEEE Communications Letters, vol. 22, no. 8, Aug. 2018.
8 H. Li, Q. Guo, L. Fang, and D. Huang, "Fairness and capacity analysis of opportunistic feedback protocol with proportional fair or maximum throughput scheduling," in Proc. Int. Conf. IEEE Wireless Commun. Signal Process, pp. 1-5. Oct. 2012.