Heterogeneous Mesh Network and a Multi-RAT Node Used Therein

Patent metadata

Field	Value
Publication number	US-2020178084-A1
Application number	US-202016787957-A
Country	US
Kind code	A1
Filing date	Feb 11, 2020
Priority date	Sep 25, 2012
Publication date	Jun 4, 2020
Grant date	—

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.

First claim

What is claimed is:

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 1 , wherein the at least two dynamic nodes employ a dynamic routing table.

8 . 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.

9 . 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.

10 . 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.

11 . 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.

12 . The cellular network of claim 10 , 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.

13 . The cellular network of claim 10 wherein the software or firmware performs a self-healing, self-organization or self-optimization adjustment on the mesh network.

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.

Assignees

• Parallel Wireless Inc

Inventors

• Mishra Rajesh Kumar
• Agarwal Kaitki
• Donepudi Sridhar
• Papa Steven Paul

Classifications

• H04W24/02 Primary

  Arrangements for optimising operational condition · CPC title

• H04W84/20

  Leader-follower arrangements · CPC title

• H04W16/14 Primary

  Spectrum sharing arrangements {between different networks} · CPC title

• H04W88/18

  Service support devices; Network management devices · CPC title

• H04W72/27

  between access points · CPC title