IP Library Granted Patent US 12,302,368
Granted Patent B2
US 12,302,368 · App. 18/514,948 · Granted May 13, 2025

Method and system for traffic shaping at the DU/CU to artificially reduce the total traffic load on the radio receiver so that not all the TTLs are carrying data

Inventors: Dhaval Mehta (Englewood, CO); Amit Pathania (Englewood, CO)
Assignee: DISH Wireless L.L.C.
H04W72/52H04L5/0044H04W28/0289H04W52/0206
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Quick Facts
Patent No.
US 12,302,368
App. No.
18/514,948
Granted
May 13, 2025
Kind
B2
Abstract

Systems and methods are provided for adaptive channel, beamforming, and traffic shaping management in a network including configuring an element management system to monitor, via a distribution unit (DU) and/or a central unit (CU) power and channel traffic at a plurality of cell sites in a network; applying, in response to a detection of a power outage at a cell site, at least one power saving schema including adaptive channel management, adaptive beam management, and/or adaptive traffic management, wherein the systems and methods incrementally reduce power consumption at the cell site by choking at least on channel based on a level of network traffic congestion. The systems and methods further limits users for congested channels, determines a relationship between power reduction as a result of the choking, arranges power to beamforming systems based on the choking, adjusts traffic of one or more applications, and move users of choked channels.

Claims (33)

1. A system for adaptive channel and traffic shaping management in a network, comprising:

a scheduler unit;

a control unit; and

an element management system, wherein the element management system is configured to:

monitor, via at least one selected from the group of a central unit (CU) and a distributed unit (DU), power and channel traffic conditions at a plurality of cell sites in the network; and

apply, in response to a detection of a power outage at a first cell site of the plurality of cell sites and via the control unit and the scheduler unit, at least one power saving schema of a set of power-saving schema, wherein the set of power-saving schema comprises an adaptive channel management schema, an adaptive beam management schema, and an adaptive traffic management schema, wherein:

the control unit is configured, according to the set of power-saving schema, to incrementally reduce power consumption at the first cell site by choking at least one available channel to limit network traffic on the at least one available channel based on a level of congestion of network traffic of the at least one available channel between one or more users; wherein the choking of the at least one available channel comprises, according to application of the adaptive channel management schema, limiting a number of users for a heavily loaded channel.

2. The system of claim 1 , wherein the control unit is configured in at least the adaptive channel management schema to not guarantee fairness between one or more subscribers in the network.

3. The system of claim 1 , wherein the system is configured to determine a relationship between an amount of power reduced at the first cell site as a result of the choking, and incrementally reduce power consumption of the first cell site based on each individual channel choked.

4. The system of claim 1 , wherein the control unit is configured by the beam management schema to arrange power supplied to a plurality of beamforming systems of the first cell site based on the choked at least one channel.

5. The system of claim 1 , wherein the traffic management schema comprises one or more rules configured to at least one selected from the group of allowing, throttling, and blocking traffic of one or more applications.

6. The system of claim 1 , wherein the scheduler unit is configured to use a certain number of Orthogonal Frequency-Division Multiplexing symbols to reduce channel consumption power and to manage the network traffic on congested channels by enabling a dynamic set of mini-slots to send and receive data requests.

7. The system of claim 6 , wherein the scheduler unit is configured, according to the adaptive traffic management schema, to enable transmissions over variable periods of traffic data sub-frames of one or more mini-slots based on a set of frequencies wherein a traffic data sub-frame is a fraction of a series of packet data transmitted in a slot.

8. The system of claim 1 , wherein at least one user of the at least one choked channel is moved a second channel that has not been choked.

9. A method for adaptive channel and traffic shaping management in a network performed by an element management system, comprising:

monitoring, by the element management system via at least one selected from the group of a central unit (CU) and a distributed unit (DU), power and channel traffic conditions at a plurality of cell sites in the network; and

applying, by the element management system in response to a detection of a power outage at a first cell site of the plurality of cell sites and via a control unit and a scheduler unit, at least one power saving schema of a set of power-saving schema, wherein the set of power-saving schema comprises an adaptive channel management schema, an adaptive beam management schema, and an adaptive traffic management schema, wherein:

the control unit incrementally reduces, according to the set of power-saving schema, power consumption at the first cell site by choking at least one available channel to limit network traffic on the at least one available channel based on a level of congestion of network traffic of the at least one available channel between one or more users; wherein the choking of the at least one available channel comprises, according to application of the adaptive channel management schema, limiting a number of users for a heavily loaded channel.

10. The method of claim 9 , further comprising not guaranteeing fairness between one or more subscribers in the network in at least the adaptive channel management schema.

11. The method of claim 9 , further comprising determining a relationship between an amount of power reduced at the first cell site as a result of the choking, and incrementally reducing power consumption of the first cell site based on each individual channel choked.

12. The method of claim 9 , further comprising arranging, by the control unit according to application of the beam management schema, power supplied to a plurality of beamforming systems of the first cell site based on the choked at least one channel.

13. The method of claim 9 , wherein the traffic management schema comprises one or more rules configured to at least one selected from the group of allowing, throttling, and blocking traffic of one or more applications.

14. The method of claim 9 , comprising:

using, by the scheduler unit, a certain number of Orthogonal Frequency-Division Multiplexing symbols to reduce channel consumption power and to manage the network traffic on congested channels by enabling a dynamic set of mini-slots to send and receive data requests; and

enabling, via the scheduler unit configured according to the adaptive traffic management schema, transmissions over variable periods of traffic data sub-frames of one or more mini-slots based on a set of frequencies wherein a traffic data sub-frame is a fraction of a series of packet data transmitted in a slot.

15. The method of claim 9 , further comprising moving at least one user of the at least one choked channel to a second channel that has not been choked.

16. A computer program product tangibly embodied in a non-transient computer-readable storage device that stores a set of instructions that when executed by one or more processors of an element management system perform a method for reducing power consumption at a cell site in a network, the method comprising:

monitoring, by the element management system via at least one selected from the group of a central unit (CU) and a distributed unit (DU), power and channel traffic conditions at a plurality of cell sites in the network;

applying, by the element management system in response to a detection of a power outage at a first cell site of the plurality of cell sites and via a control unit and a scheduler unit, at least one power saving schema of a set of power-saving schema, wherein the set of power-saving schema comprises an adaptive channel management schema, an adaptive beam management schema, and an adaptive traffic management schema, wherein:

the control unit incrementally reduces, according to the set of power-saving schema, power consumption at the first cell site by choking at least one available channel to limit network traffic on the at least one available channel based on a level of congestion of network traffic of the at least one available channel between one or more users;

determining a relationship between an amount of power reduced at the first cell site as a result of the choking; and

incrementally reducing power consumption of the first cell site based on each individual channel choked.

17. The method of claim 16 , further comprising arranging, by the control unit according to application of the beam management schema, power supplied to a plurality of beamforming systems of the first cell site based on the choked at least one channel.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 17, 2025
From: MEHTA, DHAVAL; PATHANIA, AMIT
To: DISH WIRELESS L.L.C.
Reel/Frame 070876/0415 →
Continuity (3)
Continuation 17649166 · Jan 27, 2022
Continuation 16945131 · Jul 31, 2020
Related Publication 20240090005A1 · Mar 14, 2024
References Cited (81)
US 7164667B2 · Rayment et al. · 2007 [cited by applicant]
US 10470120B2 · Fischer · 2019 [cited by applicant]
US 10523914B1 · Phillips et al. · 2019 [cited by applicant]
US 10868471B2 · Fischer · 2020 [cited by applicant]
US 11871437B2 · Mehta · 2024 [cited by examiner]
US 20060182262A1 · Goldman et al. · 2006 [cited by applicant]
US 20080247760A1 · Edmon et al. · 2008 [cited by applicant]
US 20100009694A1 · Fischer · 2010 [cited by applicant]
US 20100278038A1 · Stahle · 2010 [cited by examiner]
US 20110034196A1 · Jonishi et al. · 2011 [cited by applicant]
US 20130084869A1 · Johansson et al. · 2013 [cited by applicant]
US 20130094451A1 · Pavlovski et al. · 2013 [cited by applicant]
US 20130169042A1 · Melamed · 2013 [cited by applicant]
US 20140128073A1 · Farhadi · 2014 [cited by applicant]
US 20140293777A1 · Dhillon et al. · 2014 [cited by applicant]
US 20140357259A1 · Tomeczko · 2014 [cited by examiner]
US 20150023163A1 · Gonzalez et al. · 2015 [cited by applicant]
US 20150050925A1 · Tapia · 2015 [cited by examiner]
US 20150172115A1 · Nguyen et al. · 2015 [cited by applicant]
US 20150351108A1 · Cui · 2015 [cited by examiner]
US 20170054595A1 · Zhang et al. · 2017 [cited by applicant]
US 20170078209A1 · Miklos · 2017 [cited by applicant]
US 20170201968A1 · Nam et al. · 2017 [cited by applicant]
US 20170290004A1 · Yang et al. · 2017 [cited by applicant]
US 20170367022A1 · Chandrasekaran · 2017 [cited by applicant]
US 20180206267A1 · Islam et al. · 2018 [cited by applicant]
US 20190037409A1 · Wang et al. · 2019 [cited by applicant]
US 20190053150A1 · Abouelmaati · 2019 [cited by examiner]
US 20190053193A1 · Park et al. · 2019 [cited by applicant]
US 20190082326A1 · Mathison et al. · 2019 [cited by applicant]
US 20190089716A1 · STcker · 2019 [cited by applicant]
US 20190132857A1 · Babaei et al. · 2019 [cited by applicant]
US 20190140904A1 · Huang et al. · 2019 [cited by applicant]
US 20190182716A1 · Futaki et al. · 2019 [cited by applicant]
US 20190182752A1 · Lou et al. · 2019 [cited by applicant]
US 20190223055A1 · Bor Yaliniz et al. · 2019 [cited by applicant]
US 20190223093A1 · Watfa et al. · 2019 [cited by applicant]
US 20190230531A1 · Myron et al. · 2019 [cited by applicant]
US 20190246420A1 · Park et al. · 2019 [cited by applicant]
US 20190253230A1 · Loehr et al. · 2019 [cited by applicant]
US 20190281477A1 · Ding · 2019 [cited by examiner]
US 20190349806A1 · Nam et al. · 2019 [cited by applicant]
US 20190357260A1 · Cirik et al. · 2019 [cited by applicant]
US 20190364492A1 · Azizi et al. · 2019 [cited by applicant]
US 20200059345A1 · Pelletier et al. · 2020 [cited by applicant]
US 20200084107A1 · Li · 2020 [cited by applicant]
US 20200169921A1 · Tan et al. · 2020 [cited by applicant]
US 20200170022A1 · Jones · 2020 [cited by applicant]
US 20200221346A1 · Choi et al. · 2020 [cited by applicant]
US 20200229076A1 · Jin et al. · 2020 [cited by applicant]
US 20200245233A1 · Qian et al. · 2020 [cited by applicant]
US 20200304406A1 · Thubert et al. · 2020 [cited by applicant]
US 20200344641A1 · Veggalam et al. · 2020 [cited by applicant]
US 20200344695A1 · Wang et al. · 2020 [cited by applicant]
US 20200382386A1 · Narendra et al. · 2020 [cited by applicant]
US 20210037390A1 · Tofighbakhsh et al. · 2021 [cited by applicant]
US 20210058473A1 · Yerli · 2021 [cited by applicant]
US 20210067421A1 · Kidd et al. · 2021 [cited by applicant]
US 20210068044A1 · Chan et al. · 2021 [cited by applicant]
US 20210112565A1 · Bhaskaran et al. · 2021 [cited by applicant]
US 20210136680A1 · Browne et al. · 2021 [cited by applicant]
US 20210167930A1 · Jeon et al. · 2021 [cited by applicant]
US 20210203468A1 · Yi et al. · 2021 [cited by applicant]
US 20210219185A1 · Marquezan et al. · 2021 [cited by applicant]
US 20210219222A1 · Jia et al. · 2021 [cited by applicant]
US 20210235492A1 · Iyer et al. · 2021 [cited by applicant]
US 20210243232A1 · Verma et al. · 2021 [cited by applicant]
US 20210243673A1 · Miller et al. · 2021 [cited by applicant]
US 20210243684A1 · Wang et al. · 2021 [cited by applicant]
US 20210266831A1 · Zhou et al. · 2021 [cited by applicant]
US 20210314983A1 · Karaki et al. · 2021 [cited by applicant]
US 20210329666A1 · Ljung et al. · 2021 [cited by applicant]
US 20210337412A1 · Zhu · 2021 [cited by examiner]
US 20220014349A1 · Hosseini et al. · 2022 [cited by applicant]
EP 2919531A1 · 2015 [cited by applicant]
WO 2019210946A1 · 2019 [cited by applicant]
WO 2020017941A1 · 2020 [cited by applicant]
Park, J.H. et al. “A New Traffic Load based Cell Zooming Algorithm in Dense Small Cell Environments” , IEEE, 2015, pp. 332-337. [cited by applicant]
5G Americas, “New services & applications with 5G ultra-reliable low latency communications” , Nov. 2018. (Year: 2018). [cited by applicant]
ISA-USPTO, International Search Report issued in IA No. PCT/US2021/035616, dated Aug. 30, 2021. [cited by applicant]
ISA-USPTO, International Search Report issued in IA. No. PCT/US2021/039580 dated Jan. 10, 2022. [cited by applicant]