Abstract
This paper makes use of the feature of space channel of the massive MIMO which means that the channel of each user in the beam domain focus on part of the beam to propose a kind of multi-user scheduling algorithm based on BDMA transmission. This algorithm takes the system and the rate as the principles to simplify the uplink and rate expression. The expression only needs to perform the calculation of the determinant according to the received related matrix of the base station. The dimension is only related to the quantity of the beam received by a single user. This paper obtains the instantaneous channel status information on the maximum beam of channel gain of each user through the estimation of the LS channel, also provides the transmission method selected by the beam, proposes to simplify the greedy algorithm for the user scheduling and at last perform the simulation directly at the multi user MIMO system user scheduling and characteristics of BRE which highlights the advantages of the algorithm.
This paper is supported by the Natural Science Foundation of Heilongjiang Province (F2015001), which is “The research of The Massive Multi-input Multi-output (MIMO) system in cognitive radio”.
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References
Marzetta, T.L.: Noncooperative cellular wireless with unlimited numbers of base station antennas. IEEE Trans. Wirel. Commun. 9, 3590–3600 (2010)
Rusek, F., Persson, D., Lau, B.K., et al.: Scaling up MIMO: opportunities and challenges with very large arrays. IEEE Sig. Process. Mag. 30, 40–60 (2013)
Larsson, E., Edfors, O., Tufvesson, F., et al.: Massive MIMO for next generation wireless systems. IEEE Commun. Mag. 52, 186–195 (2014)
Sharif, M., Hassibi, B.: On the capacity of MIMO broadcast channels with partial side information. IEEE Trans. Inf. Theory 51, 506–522 (2005)
Ding, P., Love, D.J., Zoltowski, M.D.: On the sum rate of channel subspace feedback for multi-antenna broadcast channels. In: IEEE Global Telecommunications Conference (GLOBECOM), pp. 2699–2703 (2005)
Jindal, N.: MIMO broadcast channels with finite-rate feedback. IEEE Trans. Inf. Theory 52, 5045–5060 (2006)
Yoo, T., Jindal, N., Goldsmith, A.: Multi-antenna downlink channels with limited feedback and user selection. IEEE J. Sel. Areas Commun. 25, 1478–1491 (2007)
Ashikhmin, A., Gopalan, R.: Grassmannian packings for efficient quantization in MIMO broadcast systems. In: IEEE International Symposium on Information Theory (ISIT), pp. 1811–1815 (2007)
Kuo, P.H., Kung, H.T., Ting, P.A.: Compressive sensing based channel feedback protocols for spatially-correlated massive antenna arrays. In: IEEE Wireless Communications and Networking Conference (WCNC), pp. 492–497 (2012)
Love, D.J., Choi, J., Bidigare, P.: A closed-loop training approach for massive MIMO beamforming systems. In: 47th Annual Conference on Information Sciences and Systems (CISS), pp. 1–5 (2013)
Adhikary, A., Nam, J., Ahn, J., et al.: Joint spatial division and multiplexing-the large-scale array regime. IEEE Trans. Inf. Theory 59, 6441–6463 (2013)
Sun, C., Gao, X.Q., Jin, S., et al.: Beam division multiple access transmission for massive MIMO. IEEE Trans. Commun. 63, 2170–2184 (2015)
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Yang, G., Wang, X., Zhang, W., Wang, Y. (2019). The Multi-user Scheduling Algorithm Based on BDMA Transmission in the Massive Multi-Input Multi-Output (MIMO) System. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_32
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DOI: https://doi.org/10.1007/978-981-10-6571-2_32
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