A Joint Local Short Scheduling Mechanism for a Successful MIMO–OFDM Communication System
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
http://link.springer.com/article/10.1007/s11277-018-5628-2/fulltext.html
Reference27 articles.
1. Ge, X., Huang, X., Wang, Y., Chen, M., Li, Q., Han, T., et al. (2014). Energy-efficiency optimization for MIMO–OFDM mobile multimedia communication systems with QoS constraints. IEEE Transactions on Vehicular Technology, 63(5), 2127–2138.
2. Gao, Z., Dai, L., Lu, Z., Yuen, C., & Wang, Z. (2014). Super-resolution sparse MIMO-OFDM channel estimation based on spatial and temporal correlations. IEEE Communications Letters, 18(7), 1266–1269.
3. Manikandan, C., Neelamegam, P., & Divya, E. (2015). OFDM techniques for MIMO-OFDM system: A review. Indian Journal of Science and Technology, 8(22), 15.
4. Le, N. P., & Safaei, F. (2016). Antenna selection strategies for MIMO-OFDM wireless systems: An energy efficiency perspective. IEEE Transactions on Vehicular Technology, 65(4), 2048–2062.
5. Lu, L., Li, G. Y., Swindlehurst, A. L., Ashikhmin, A., & Zhang, R. (2014). An overview of massive MIMO: Benefits and challenges. IEEE Journal of Selected Topics in Signal Processing, 8(5), 742–758.
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1. Implementation of Fast, Adaptive, Optimized Blind Channel Estimation for Multimodal MIMO‐OFDM Systems Using MFPA;Intelligent Multi‐modal Data Processing;2021-04-30
2. Hybrid optimisation for priority‐based scheduling in multi‐user STBC‐MIMO‐OFDM;IET Communications;2019-12
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