Joint User Selection, Power Allocation, and Precoding Design With Imperfect CSIT for Multi-Cell MU-MIMO Downlink Systems
- Authors
- Choi, Jiwook; Lee, Namyoon; Hong, Songnam; Caire, Giuseppe
- Issue Date
- Jan-2020
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Precoding; Resource management; Downlink; Optimization; Antennas; Interference; Signal to noise ratio; Multi-user multiple-input multiple-output (MU-MIMO); user-selection; precoding
- Citation
- IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, v.19, no.1, pp.162 - 176
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- Volume
- 19
- Number
- 1
- Start Page
- 162
- End Page
- 176
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/10804
- DOI
- 10.1109/TWC.2019.2942916
- ISSN
- 1536-1276
- Abstract
- n this paper, a new optimization framework is presented for the joint design of user selection, power allocation, and precoding in multi-cell multi-user multiple-input multiple-output (MU-MIMO) systems when imperfect channel state information at transmitter (CSIT) is available. By representing the joint optimization variables in a higher-dimensional space, the weighted sum-spectral efficiency maximization is formulated as the maximization of the product of Rayleigh quotients. Although this is still a non-convex problem, a computationally efficient algorithm, referred to as generalized power iteration precoding (GPIP), is proposed. The algorithm converges to a stationary point (local maximum) of the objective function and therefore it guarantees the first-order optimality of the solution. By adjusting the weights in the weighted sum-spectral efficiency, the GPIP yields a joint solution for user selection, power allocation, and downlink precoding. The GPIP can be extended to the multi-cell scenario where cooperative base stations perform joint user-cell selection and design their precodes by taking into account the inter-cell interference by sharing global imperfect CSIT. System-level simulations show the gains of the proposed approach with respect to conventional user selection and linear downlink precoding.
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