US 11,240,752 B2 · Adaptive energy efficient cellular network

Abstract

Methods and systems are provided for managing a smart antenna system to maximize energy efficiency while maintaining spectral efficiency and signal integrity. In accordance with certain aspects of a particularly preferred embodiment, antenna beamforming may be optimized at a base station by combining a recursive least squares beamforming technique with Kaiser windowing functions to enable side lobe cancellation in the emitted beam, thus enhancing the capacity and service quality of smart antenna systems. With respect to further aspects of a particularly preferred embodiment, processing methods may be implemented at the base station of a cellular network to cluster mobile stations in a way that improves overall energy efficiency of a base station in the cellular network. More particularly, mobile stations or users may be clustered using a linear radius clustering method and a last user sector based clustering method to direct the beam emitted from the base station antenna to those sectors determined to contain the users having the greatest signal resource need.

Claims10

Dependent claims

A method of operating an adaptive antenna array at a base station of a cellular network, comprising:

driving an array propagation vector v the base station, where v=ejn(βdcosθ), wherein
e is assigned energy,
n is a particular antenna element,
β is a phase constant,
d is a spacing between antenna elements, and
θ is an angle of incident at which a wave front arrives and impinges the antenna array;
initialize a weight value W where W=[0 0 0 . . . 0]T;
determine an array factor AF initialized to 0 using AFinitial=W·v=0;
determine a weight value W in each of K iterations using:
(k)=W(k−1)+g(k)[d*(k)−XH(k)W(k−1)];
update said AF with each weight value using:
AF=AFinitial+(k)·v;
transmit a beam from said adaptive antenna array with said AF;
determine whether said beam includes a side lobe;
upon a determination that said beam has a side lobe, apply a Kaiser side lobe canceller using:
W=Kaiser (N, α),
wherein N is a Kaiser window size and α is a Kaiser window attenuation factor;
and
assign said beam to a user of said cellular network.

16 more elements

A system for operating an adaptive antenna array at a base station of a cellular network, comprising:

a base station having a cell zooming server;
and
an adaptive antenna array;
wherein said cell zooming server further comprises computer executable instructions stored thereon and configured to:
drive an array propagation vector v at the base station, where v=ejn(βdcosθ), wherein
e is assigned energy,
n is a particular antenna element,
β is a phase constant,
d is a spacing between antenna elements, and
θ is an angle of incident at which a wave front arrives and impinges the antenna array;
initialize a weight value W where W=[0 0 0 . . . 0]T;
determine an array factor AF initialized to 0 using AFinitial=W·v=0;
determine a weight value W in each of K iterations using:
(k)=W(k−1)+g(k)[d*(k)−XH(k)W(k−1)];
update said AF with each weight value using:
AF=AFinitial+(k)·v;
transmit a beam from said adaptive antenna array with said AF;
determine whether said beam includes a side lobe;
upon a determination that said beam has a side lobe, apply a Kaiser side lobe canceller using:
W=Kaiser (N, α),
wherein N is a Kaiser window size and α is a Kaiser window attenuation factor;
and
assign said beam to a user of said cellular network.

20 more elements

Dependencies are inferred from the claim text.

Adaptive energy efficient cellular network

Life of this patent

Adaptive energy efficient cellular network

Life of this patent

Abstract

Claims10