TY - JOUR
T1 - Energy-efficient massive MIMO for federated learning
T2 - transmission designs and resource allocations
AU - Vu, Tung Thanh
AU - Ngo, Hien Quoc
AU - Dao, Minh N.
AU - Ngo, Duy Trong
AU - Larsson, Erik G.
AU - Le-Ngoc, Tho
N1 - Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.
PY - 2022
Y1 - 2022
N2 - This work proposes novel synchronous, asynchronous, and session-based designs for energy-efficient massive multiple-input multiple-output networks to support federated learning (FL). The synchronous design relies on strict synchronization among users when executing each FL communication round, while the asynchronous design allows more flexibility for users to save energy by using lower computing frequencies. The session-based design splits the downlink and uplink phases in each FL communication round into separate sessions. In this design, we assign users such that one of the participating users in each session finishes its transmission and does not join the next session. As such, more power and degrees of freedom will be allocated to unfinished users, resulting in higher rates, lower transmission times, and hence, higher energy efficiency. In all three designs, we use zero-forcing processing for both uplink and downlink, and develop algorithms that optimize user assignment, time allocation, power, and computing frequencies to minimize the energy consumption at the base station and users, while guaranteeing a predefined maximum execution time of each FL communication round.
AB - This work proposes novel synchronous, asynchronous, and session-based designs for energy-efficient massive multiple-input multiple-output networks to support federated learning (FL). The synchronous design relies on strict synchronization among users when executing each FL communication round, while the asynchronous design allows more flexibility for users to save energy by using lower computing frequencies. The session-based design splits the downlink and uplink phases in each FL communication round into separate sessions. In this design, we assign users such that one of the participating users in each session finishes its transmission and does not join the next session. As such, more power and degrees of freedom will be allocated to unfinished users, resulting in higher rates, lower transmission times, and hence, higher energy efficiency. In all three designs, we use zero-forcing processing for both uplink and downlink, and develop algorithms that optimize user assignment, time allocation, power, and computing frequencies to minimize the energy consumption at the base station and users, while guaranteeing a predefined maximum execution time of each FL communication round.
UR - http://www.scopus.com/inward/record.url?scp=85142819906&partnerID=8YFLogxK
U2 - 10.1109/OJCOMS.2022.3222749
DO - 10.1109/OJCOMS.2022.3222749
M3 - Article
AN - SCOPUS:85142819906
SN - 2644-125X
VL - 3
SP - 2329
EP - 2346
JO - IEEE Open Journal of the Communications Society
JF - IEEE Open Journal of the Communications Society
ER -