Optimal Massive-MIMO-Aided Clustered Base-Station Coordination.
In: IEEE Transactions on Vehicular Technology, Jg. 70 (2021-03-01), Heft 3, S. 2699-2712
Online
academicJournal
Zugriff:
A large-scale clustered massive MIMO network is proposed for improving the spectral efficiency of the next-generation wireless infrastructure by maximizing its sum-rate. Our solution combines the advantages of the centralized processing architecture and massive MIMO. Explicitly, the network is divided into multiple clusters; each cluster is handled by a centralized processing unit, which connects to a certain number of massive MIMO-aided BSs, where only limited information is exchanged among the clusters; each user of a cluster can be served by several nearby BSs in a user-centric way. We analyze the maximum sum-rate of the network with multiple antennas at BSs and UEs, relying on the optimal transmit precoder matrix of each BS configured for each user, and on the optimal frequency-domain power sharing scheme of each cluster. The optimizations are conceived for multiple coordination schemes that were widely studied in literature, namely the coherent-joint-transmission (CJT) scheme, the non-coherent-joint-transmission (NCJT) scheme and the coordinated-beamfoming/scheduling (CBF/CS) scheme. Our simulations show that the optimal CJT achieves 2.2 – 4.5 times higher average sum-rate than its non-cooperative massive MIMO network counterpart, while the optimal NCJT and the optimal CBF/CS achieve at most a factor 1.3 average sum-rate gain. The popular signal-to-leakage-and-noise-ratio (SLNR) scheme is also extended to the multi-antenna UE scenario and achieves a factor 1.1 – 1.2 gain. [ABSTRACT FROM AUTHOR]
Copyright of IEEE Transactions on Vehicular Technology is the property of IEEE and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Titel: |
Optimal Massive-MIMO-Aided Clustered Base-Station Coordination.
|
---|---|
Autor/in / Beteiligte Person: | Li, Xueru ; Zhang, Xu ; Zhou, Yongxing ; Hanzo, Lajos |
Link: | |
Zeitschrift: | IEEE Transactions on Vehicular Technology, Jg. 70 (2021-03-01), Heft 3, S. 2699-2712 |
Veröffentlichung: | 2021 |
Medientyp: | academicJournal |
ISSN: | 0018-9545 (print) |
DOI: | 10.1109/TVT.2021.3056875 |
Schlagwort: |
|
Sonstiges: |
|