Q. -D. Vu, L. -N. Tran and M. Juntti, "On Spectral Efficiency for Multiuser MISO Systems Under Imperfect Channel Information," in IEEE Transactions on Vehicular Technology, vol. 70, no. 2, pp. 1946-1951, Feb. 2021, doi: 10.1109/TVT.2021.3050983
On spectral efficiency for multiuser MISO systems under imperfect channel information
|Author:||Vu, Quang-Doanh1,2; Tran, Le-Nam3; Juntti, Markku4|
1Mobile Networks, Nokia, 90650 Oulu, Finland
2Centre for Wireless Communications, University of Oulu, Finland.
3School of Electrical and Electronic Engineering, University College Dublin, Ireland
4Centre for Wireless Communications, University of Oulu, FI-90014, Finland
|Online Access:||PDF Full Text (PDF, 0.5 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202101212282
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2021-01-21
We consider downlink transmission whereby a multiantenna base station simultaneously transmits data to multiple single-antenna users. We focus on slow flat fading channel where the channel state information is imperfect, the channel estimation error is unbounded and its statistics are known. The aim is to design beamforming vectors such that the sum rate is maximized under the constraints on probability of successful transmission for each user and maximum transmit power. The optimization problem is intractable due to the chance constraints. To this end, we propose an efficient solution drawn upon stochastic optimization. In particular, we first use the step function and its smooth approximation to get an approximate nonconvex stochastic program of the considered problem. We then develop an iterative procedure to solve the stochastic program based on the stochastic successive convex approximation framework. The numerical results show that the proposed solution can achieve remarkable sum rate gains compared to the conventional one.
IEEE transactions on vehicular technology
|Pages:||1946 - 1951|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was supported in part by the Academy of Finland under projects FURMESFuN (Grant 310898), 6Genesis Flagship (Grant 318927), WiConIE (Grant 297803) and EERA (Grant 332362), and in part by Science Foundation Ireland under Grant 17/CDA/4786.
|Academy of Finland Grant Number:||
310898 (Academy of Finland Funding decision)
318927 (Academy of Finland Funding decision)
297803 (Academy of Finland Funding decision)
332362 (Academy of Finland Funding decision)
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