期刊
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
卷 38, 期 12, 页码 2946-2960出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSAC.2020.3005493
关键词
Massive MIMO; Doppler effect; Covariance matrices; 5G mobile communication; Resource management; Linear antenna arrays; Millimeter wave communication; Millimeter-wave; Terahertz; per-beam synchronization; network massive MIMO; high mobility; blockage
资金
- National Key Research and Development Program of China [2018YFB1801103]
- National Natural Science Foundation of China (NSFC) [61801114, 61761136016, 61631018]
- Jiangsu Province Basic Research Project [BK20192002]
- Natural Science Foundation of Jiangsu Province [BK20170688]
- Fundamental Research Funds for the Central Universities
- German Science Foundation (DFG)
- NSFC under the project LargeScale and Hierarchical Bayesian Inference for Future Mobile Communication Network
- Natural Science and Engineering Research Council (NSERC) of Canada
Mobility and blockage are two critical challenges in wireless transmission over millimeter-wave (mmWave) and Terahertz (THz) bands. In this paper, we investigate network massive multiple-input multiple-output (MIMO) transmission for mmWave/THz downlink in the presence of mobility and blockage. Considering the mmWave/THz propagation characteristics, we first propose to apply per-beam synchronization for network massive MIMO to mitigate the channel Doppler and delay dispersion effects. Accordingly, we establish a transmission model. We then investigate network massive MIMO downlink transmission strategies with only the statistical channel state information (CSI) available at the base stations (BSs), formulating the strategy design as an optimization problem to maximize the network sum-rate. We show that the beam domain is favorable to perform transmission, and demonstrate that BSs can work individually when sending signals to user terminals. Based on these insights, the network massive MIMO precoding design is reduced to a network sum-rate maximization problem with respect to beam domain power allocation. By exploiting the sequential optimization method and random matrix theory, an iterative algorithm with guaranteed convergence performance is further proposed for beam domain power allocation. Numerical results reveal that the proposed network massive MIMO transmission approach with the statistical CSI can effectively alleviate the blockage effects and provide mobility enhancement over mmWave and THz bands.
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