IP Library Granted Patent US 11,653,215
Granted Patent B2
US 11,653,215 · App. 16/787,957 · Granted May 16, 2023

Heterogeneous mesh network and a multi-RAT node used therein

Inventors: Rajesh Kumar Mishra (Westford, MA); Kaitki Agarwal (Westford, MA); Sridhar Donepudi (Nashua, NH); Steven Paul Papa (Windham, NH)
Assignee: Parallel Wireless, Inc.
H04W16/14H04W24/02H04W72/0426H04W84/20H04W92/12H04W84/18H04W88/18
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Quick Facts
Patent No.
US 11,653,215
App. No.
16/787,957
Granted
May 16, 2023
Kind
B2
Abstract

This invention discloses a mesh network comprised of at least two dynamic base station nodes, wherein the two dynamic base station nodes comprise each a multiple radio access technology architecture, the multiple radio access technology architecture comprising: at least two radio access technologies for providing access to a core network, and an abstraction layer communicatively coupled to the at least two radio access technologies for receiving and converting data into protocol agnostic data, wherein the first and second dynamic base station nodes are configured to: in response to a query regarding environmental conditions from a computing cloud component, send an environmental condition to the computing cloud component, receive an instruction from the computing cloud in response to the computing cloud component having processed the environmental condition, and change an operational parameter in response to the received instruction. The first and second dynamic base station nodes support at least two of a 3G RAT, a 4G RAT, and a 5G RAT.

Claims (27)

1. A cellular network comprising at least two dynamic base station nodes, wherein the two dynamic base station nodes each comprise a multiple radio access technology (RAT) architecture, the multiple radio access technology architecture comprising:

at least two radio access technologies for providing access to a core network, and

an abstraction layer communicatively coupled to the at least two radio access technologies for receiving and converting data into protocol agnostic data,

wherein the first and second dynamic base station nodes are configured to:

in response to a query regarding environmental conditions from a computing cloud component, send an environmental condition to the computing cloud component,

receive an instruction from the computing cloud in response to the computing cloud component having processed the environmental condition, and

change an operational parameter in response to the received instruction, and

wherein the first and second dynamic base station nodes support at least two of a 3G RAT, a 4G RAT, and a 5G RAT.

2. The cellular network of claim 1 , further comprising a self-organizing network, SON, module, a management layer, an application layer, or a control layer.

3. The cellular network of claim 1 , wherein the multiple radio access technology architecture further comprises white space frequency architecture.

4. The cellular network of claim 1 , wherein the multiple radio access technology architecture further comprises 5G, Long Term Evolution, LTE, LTE-A, Code division multiple access, CDMA, or Wi-Fi coupled to a variety of frequency architectures.

5. The cellular network of claim 1 , wherein the multiple radio access technology architecture comprises a meshed backhaul link, wherein the meshed backhaul link further comprises licensed, unlicensed, or white space frequency architecture, or wherein the meshed backhaul link can use 5G, Long Term Evolution, LTE, LTE-A, third generation, 3G or Code division multiple access, CDMA, technology to perform a backhaul function.

6. The cellular network of claim 1 , further comprising the computing cloud component.

7. The cellular network of claim 6 , wherein the computing cloud component is a server hosted in a cloud, further comprising a non-transitory computer readable storage medium having software or firmware that when executed evaluates an environmental condition of the mesh network.

8. The cellular network of claim 7 , further comprising executable code that when run causes the computing cloud component to allocate a floating frequency value or a time slot from the plurality of floating frequency values or the plurality of times lot values.

9. The cellular network of claim 7 wherein the software or firmware performs a self-healing, self-organization or self-optimization adjustment on the mesh network.

10. The cellular network of claim 1 , wherein the at least two dynamic nodes employ a dynamic routing table.

11. The cellular network of claim 1 , wherein the at least two dynamic base station nodes are multi-radio access technology, RAT, nodes comprising:

a. at least one processor for performing access, backhaul, and common functions;

b. access hardware coupled to the at least one processor;

c. backhaul hardware coupled to the at least one processor;

d. an RF front-end coupled to at least one of the access hardware or the backhaul hardware; and

e. a timing source and optionally further comprising an abstraction layer, and wherein the dynamic routing table is constructed by at least one of the dynamic base station nodes or a computing cloud and the at least one of the dynamic base station nodes or the computing clouds determines routing paths based upon at least one environmental condition.

12. The cellular network of claim 1 , wherein the at least two dynamic base station nodes further comprise a first access radio and a second access radio, the first and second access radios being capable of transmitting on a first frequency and a second frequency; or wherein the at least two dynamic base station nodes further comprise a first access radio and a second access radio, the first and second access radios being capable of transmitting using a first protocol and a second protocol; or wherein the at least two dynamic base station nodes further comprise a first access radio and a second access radio, the first and second access radios being capable of transmitting using a first duplexing and a second duplexing scheme.

13. The cellular network of claim 1 , wherein the computing cloud component is communicatively coupled to the dynamic mesh node, and wherein the computing cloud component has an internal memory for storing a floating frequency value or a times lot value, wherein the computing cloud component further comprises a processor having computer executable code that when run causes the computing cloud component to update the floating frequency value or the times lot value, and wherein a plurality of floating frequency values or times lot values are stored in a database communicatively coupled to the computing cloud component.

14. The cellular network of claim 1 , wherein the environmental condition comprises at least one of interference, capacity, spectrum efficiency, routing path, network congestion, spectral reuse, throughput, latency, coverage gaps, signal -to-noise ratio, quality-of-service, or spectral sensing for white space use.

15. The cellular network of claim 1 , wherein the operational parameter comprises at least one of power level, channel, frequency band, spectrum reuse, access, backhaul, client, server, or routing paths.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 15, 2023
From: MISHRA, RAJESH KUMAR; AGARWAL, KAITKI; DONEPUDI, SRIDHAR; PAPA, STEVEN PAUL
To: PARALLEL WIRELESS, INC.
Reel/Frame 062987/0966 →
RELEASE OF SECURITY INTEREST Recorded Jul 12, 2022
From: VENTURE LENDING & LEASING IX, INC.; WTI FUND X, INC.
To: PARALLEL WIRELESS, INC.
Reel/Frame 060900/0022 →
SECURITY INTEREST Recorded Mar 1, 2022
From: PARALLEL WIRELESS, INC.
To: VENTURE LENDING & LEASING IX, INC.; WTI FUND X, INC.
Reel/Frame 059279/0851 →
Continuity (7)
Continuation In Part 16013727 · Jun 20, 2018
Continuation 14531996 · Nov 3, 2014
Division 13889631 · May 8, 2013
Provisional Application 61812119 · Apr 15, 2013
Provisional Application 61784002 · Mar 14, 2013
Provisional Application 61705440 · Sep 25, 2012
Related Publication 20200178084A1 · Jun 4, 2020