TY - GEN
T1 - A hierarchical rate splitting strategy for FDD massive MIMO under imperfect CSIT
AU - Dai, Mingbo
AU - Clerckx, Bruno
AU - Gesbert, David
AU - Caire, Giuseppe
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/1/25
Y1 - 2016/1/25
N2 - In a multiuser MIMO broadcast channel, the rate performance is affected by the multiuser interference when the Channel State Information at the Transmitter (CSIT) is imperfect. To tackle the interference problem, a Rate-Splitting (RS) approach has been proposed recently, which splits one user's message into a common and a private part, and superimposes the common message on top of the private messages. The common message is drawn from a public codebook and should be decoded by all users. In this paper, we propose a novel and general framework, denoted as Hierarchical Rate Splitting (HRS), that is particularly suited to FDD massive MIMO systems. HRS simultaneously transmits private messages intended to each user and two kinds of common messages that can be decoded by all users and by a subset of users, respectively. We analyse the asymptotic sum rate of HRS under imperfect CSIT. A closed-form power allocation is derived which provides insights into the effects of system parameters. Finally, simulation results validate the significant sum rate gain of HRS over various baselines.1
AB - In a multiuser MIMO broadcast channel, the rate performance is affected by the multiuser interference when the Channel State Information at the Transmitter (CSIT) is imperfect. To tackle the interference problem, a Rate-Splitting (RS) approach has been proposed recently, which splits one user's message into a common and a private part, and superimposes the common message on top of the private messages. The common message is drawn from a public codebook and should be decoded by all users. In this paper, we propose a novel and general framework, denoted as Hierarchical Rate Splitting (HRS), that is particularly suited to FDD massive MIMO systems. HRS simultaneously transmits private messages intended to each user and two kinds of common messages that can be decoded by all users and by a subset of users, respectively. We analyse the asymptotic sum rate of HRS under imperfect CSIT. A closed-form power allocation is derived which provides insights into the effects of system parameters. Finally, simulation results validate the significant sum rate gain of HRS over various baselines.1
KW - Imperfect CSIT
KW - Massive MIMO
KW - Rate Splitting
UR - http://www.scopus.com/inward/record.url?scp=84963535700&partnerID=8YFLogxK
U2 - 10.1109/CAMAD.2015.7390485
DO - 10.1109/CAMAD.2015.7390485
M3 - Conference contribution
AN - SCOPUS:84963535700
T3 - 2015 IEEE 20th International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2015
SP - 80
EP - 84
BT - 2015 IEEE 20th International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2015
Y2 - 7 September 2015 through 9 September 2015
ER -