Intelligent control of radio resources in a wireless network

• US 7,570,956 B2
• Filed: 04/12/2001
• Issued: 08/04/2009
• Est. Priority Date: 04/12/2000
• Status: Expired due to Fees

• Current Assignee: Queen Mary And Westfield College
• Original Assignee: Queen Mary And Westfield College
• Inventors: Parini, Clive, Bigham, John, Cuthbert, Laurie
• Primary Examiner(s): Eng; George
• Assistant Examiner(s): Huynh; Nam
• Application Number:
  US10/257,665
• Publication Number:
  US 20040043764A1
• Time in Patent Office: 3,036 Days
• Field of Search: 455/422.1, 455/424, 455/453, 455/456.5, 455/524, 455/63.1, 455/561, 455/562.1, 455/418, 455/446
• US Class Current: 455/453
• CPC Class Codes: H01Q 1/246 specially adapted for base stations
• CPC Class Codes: H01Q 25/002 providing at least two patterns of different beamwidth; Variable beamwidth antennas
• CPC Class Codes: H04W 16/06 Hybrid resource partitioning, e.g. channel borrowing
• CPC Class Codes: H04W 16/28 using beam steering

Abstract

A method of controlling radio resources in a cellular wireless network comprising a plurality of fixed antennas providing overlapping radio coverage, the method comprising dynamically adjusting the radiation patterns of the antennas using coordinated distributed control to optimize capacity. The wireless network may be a cellular mobile network or part thereof comprising a plurality of cells, each cell having a base station comprising an antenna, and the method may then further comprise determining the concentration of mobile stations in each cell and changing the radiation/reception pattern of the antennas of some or all of the base stations in response to the concentration of mobile stations in each cell.

Claims

1. A method of controlling radio resources in a cellular wireless network comprising a plurality of fixed antennas providing overlapping radio coverage, the method comprising:

each of plural base stations with respective fixed antennas dynamically adjusting the shape of the radiation patterns pattern footprint of the respective fixed antenna antennas using distributed co-operative control,

wherein the distributed co-operative control includes each base station adjusting the radiation pattern footprint of the respective fixed antenna in response to a negotiation between the plural base stations based on overall loading of the plural antennas taking into account surrounding base station traffic loadings and antenna physical constraints, in the negotiation each base station conducting a bi-directional information exchange process with adjacent base stations to co-operatively arrive at an adjusted radiation pattern footprint for each base station optimizing the overlapping radio coverage.

2. A method as claimed in claim 1, further comprising using agent technology to provide a negotiation process and the distributed cooperative control to co-ordinate the radiation patterns of the antennas, wherein the bi-directional information exchange comprises an over-capacity condition of a first cell (11) being communicated by a first base station to plural second base stations (12, 13, 14, 15, 16, 17) and subsequent offers to assume coverage of a respective part of the first cell are communicated to the first base station by each of the plural second station, the negotiation resulting in the adjusted radiation pattern footprint of the first base station being reduced in size and the respective adjusted radiation pattern footprints of the second base stations each being increased in size to collectively cover the reduction in size of the first base station radiation pattern footprint.

3. A method as claimed in claim 1, wherein agent technology is used to control the antennas to dynamically optimize the radio coverage of each fixed antenna forming the network to maximize the capacity of the network, wherein the negotiation produces a antenna pattern control, in response to a failed pattern footprint of a failed cell, to have first base stations of first adjacent cells adjust their respective pattern footprints to cover the failed pattern footprint of the failed cell, the first base stations adjusting to cover the failed pattern also off-loading a part of their capacity to second base stations of second adjacent cells, the second base stations of the second adjacent cells adjusting their respective pattern footprints to cover the off-loaded capacity of the first adjacent base stations.

4. A method as claimed in claim 1, wherein agent technology is used to control channel assignment and handovers between cells.

5. A method as claimed in claim 4, wherein the agent technology uses negotiating agents comprising a control unit, the control unit comprising a reactive layer for managing radio coverage within a cell and a local planning layer for optimizing radio coverage within one or more cells in response to local changes which can be predicted in advance or are unexpected.

6. A method as claimed in claim 5, wherein the local planning layer uses genetic algorithms to construct coherent plans for optimising the radio coverage.

7. A method as claimed in claim 5, wherein the control unit further comprises a co-operative layer for negotiation with other agents over a wider region of the radio network.

8. A method as claimed in claim 1, wherein the determination of radiation pattern shapes includes an input based on the predicted traffic demand within a group of cells.

9. A method as claimed in claim 1, wherein the wireless network is a wireless local loop network.

16. The method as claimed in claim 1, wherein the distributed co-operative control determines the radiation patterns of the antennas by negotiations between base stations and without negotiations with any central control unit.

17. The method as claimed in claim 1, wherein the distributed co-operative control determines the radiation patterns of the antennas in response to variations in demand across the network by negotiations between base stations and without any intervention of a central control system.

10. A method of controlling radio resources in a cellular wireless network comprising a plurality of base stations with respective fixed antennas providing overlapping radio coverage, the method comprising using artificial intelligence techniques to control the shape of the radiation pattern footprints patterns of the fixed antennas in a Code Division Multiple Access (CDMA) system, wherein the control of the shape of the radiation pattern footprints patterns applies to all frequencies and time slots used within a cell or sector of the network, wherein each base station adjusts the radiation pattern footprint of the respective fixed antenna in response to a negotiation between the plural base stations based on overall loading of the plural antennas taking into account surrounding base station traffic loadings and antenna physical constraints, in the negotiation each base station conducting a bi-directional information exchange process with adjacent base station to co-operatively arrive at an adjusted radiation pattern footprint for each base station optimizing the overlapping radio coverage.

11. A method as claimed in claim 10, wherein the wireless network is a Code Division Multiple Access (CDMA) cellular mobile network or part thereof comprising a plurality of cells, each cell having a base station comprising an antenna, the method further comprising determining the concentration of mobile stations in each cell and changing the radiation pattern shape, in both transmit and receive, of the antennas of some or all of the base stations in a co-ordinated way in response to the concentration of mobile stations in each cell, said determination comprising:

i) a first base station soliciting offers from plural second adjacent base stations for the second base stations to move the respective radiation pattern footprints of the second base stations to additionally cover a part of the radiation pattern footprint of the first base station, and

ii) in response to the offers solicitation of the first base station, the second base stations making bids to extend the respective radiation pattern footprints of the second base stations into the radiation pattern footprint of the first base station, the bids being made after the second base stations soliciting offers from plural third adjacent base stations for the third base stations to move the respective radiation pattern footprints of the third base stations to additionally cover a part of the respective radiation pattern footprints of the second base stations, and the second base stations receiving offers from the third base stations for the third base stations to extend the respective radiation pattern footprints of the third base stations into the respective radiation pattern footprints of the respective second base stations.

12. A method of controlling a cellular wireless network comprising plural base stations, each base station comprising a fixed antenna having a dynamically variable radiation pattern shape, the method comprising co-ordinating the radiation pattern shapes of the fixed antennas using distributed co-operative control, wherein the co-coordinating of the radiation pattern shapes involves each base station adjusting the radiation pattern footprint of the respective fixed antenna in response to a negotiation between the plural base stations based on overall loading of the plural antennas taking into account surrounding base station traffic loadings and antenna physical constraints, in the negotiation each base station conducting a bi-directional information exchange process with adjacent base station to co-operatively arrive at an adjusted radiation pattern footprint for each base station optimizing the overlapping radio coverage, wherein said negotiation occurs in each of plural adjacent time slots used within the network.

13. A method of optimising the allocation of radio resources in a mobile telephone network, comprising tracking changes in demand by mobile subscribers and co-ordinating the radiation pattern shapes of smart fixed antennas at plural base stations in the network using distributed co-operative control, wherein each base station adjusts the radiation pattern footprint of the respective fixed antenna in response to a negotiation between the plural base stations based on overall loading of the plural antennas taking into account surrounding base station traffic loadings and antenna physical constraints, in the negotiation each base station conducting a bi-directional information exchange process with adjacent base stations to co-operatively arrive at an adjusted radiation pattern footprint for each base station optimizing the overlapping radio coverage.

14. A method of co-ordinating the radiation pattern shapes of smart fixed antennas within a wireless network, comprising using hybrid agent architecture to support negotiation between plural Code Division Multiple Access (CDMA) base stations within the network by shaping the radiation pattern of the fixed antennas, wherein each base station adjusts the radiation pattern footprint of the respective fixed antenna in response to a negotiation between the plural base stations based on overall loading of the plural antennas taking into account surrounding base station traffic loadings and antenna physical constraints, in the negotiation each base station conducting a bi-directional information exchange process with adjacent base stations to co-operatively arrive at an adjusted radiation pattern footprint for each base station optimizing the overlapping radio coverage wherein the shaping of the radiation pattern applies to all frequencies and time slots used within a cell or sector of the network.

15. A wireless network comprising plural base stations having smart fixed antennas, wherein the radiation pattern shapes of the smart fixed antennas are dynamically adaptable under distributed co-operative control to satisfy variations in traffic demand within a whole wireless network or sub network whilst maintaining full mobile coverage within the said network, wherein each base station adjusts the radiation pattern footprint of the respective fixed antenna in response to a negotiation between the plural base stations based on overall loading of the plural antennas taking into account surrounding base station traffic loadings and antenna physical constraints, in the negotiation each base station conducting a bi-directional information exchange process with adjacent base stations to co-operatively arrive at an adjusted radiation pattern footprint for each base station optimizing the overlapping radio coverage.