US 12,231,194 B2
Method for reducing power consumption of ultra-dense cooperative transmission network, and apparatus therefor
Seung Eun Hong, Daejeon (KR); Jee Hyeon Na, Daejeon (KR); and Soo Jung Jung, Daejeon (KR)
Assigned to ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE, Daejeon (KR)
Filed by ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE, Daejeon (KR)
Filed on Dec. 8, 2022, as Appl. No. 18/077,420.
Claims priority of application No. 10-2021-0181774 (KR), filed on Dec. 17, 2021; and application No. 10-2022-0170352 (KR), filed on Dec. 8, 2022.
Prior Publication US 2023/0198582 A1, Jun. 22, 2023
Int. Cl. H04B 7/0456 (2017.01); H04B 7/0426 (2017.01); H04B 7/0491 (2017.01)
CPC H04B 7/0456 (2013.01) [H04B 7/043 (2013.01); H04B 7/0491 (2013.01)] 14 Claims
OG exemplary drawing
 
1. An operation method of a central processor (CP) operating in an ultra-dense cooperative transmission network, the operation method comprising:
obtaining a large-scale propagation gain (LPG) matrix representing channel gains between M access points (APs) and K user terminals, M being a natural number greater than or equal to 1, and K being a natural number greater than or equal to 1;
obtaining information on a required power consumption; and
transmitting, to at least part of the M APs, a control message indicating the at least part of the M APs to perform a control operation for reducing power consumption of the ultra-dense cooperative transmission network based on the required power consumption and the LPG matrix,
wherein the control operation includes:
a first operation of deactivating at least part of RF chains of at least one first AP among the M APs;
a second operation of reducing resolution of analog-to-digital converters (ADCs) or digital-to-analog converters (DACs) of at least one second AP among the M APs; and a third operation of deactivating at least one third AP among the M APs; and wherein in the third operation,
the at least one third AP to be deactivated is determined by:
classifying the K terminals into one or more clusters by performing clustering on the K terminals based on column vectors of the LPG matrix; and
determining the at least one third AP based on a channel gain between a cluster head of each of the cluster(s) and the M APs, which is identified from the LPG matrix.