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Cooperative MIMO

Genghiscomm Holdings, LLC
2023
Online Patent

Titel:
Cooperative MIMO
Autor/in / Beteiligte Person: Genghiscomm Holdings, LLC
Link:
Veröffentlichung: 2023
Medientyp: Patent
Sonstiges:
  • Nachgewiesen in: USPTO Patent Grants
  • Sprachen: English
  • Patent Number: 11552,737
  • Publication Date: January 10, 2023
  • Appl. No: 16/423624
  • Application Filed: May 28, 2019
  • Assignees: Genghiscomm Holdings, LLC (Boulder, CO, US)
  • Claim: 1. A method implemented within a multiuser (MU) multiple antenna system (MAS) comprising: communicatively coupling a central processor to multiple distributed wireless terminals (WTs) via a network; selecting, based on measured flat fading for each of the multiple distributed WTs, a plurality of antennas to activate from the multiple distributed WTs, the selecting configured for enhancing channel space diversity within the MU-MAS; computing a channel-response matrix from measured flat fading of selected ones of the multiple distributed WTs; and using the channel-response matrix for subspace processing, wherein the subspace processing is configured to process received signals from the selected ones of the multiple distributed WTs for separating a plurality of data streams transmitted concurrently by a plurality of user devices.
  • Claim: 2. The method of claim 1 , wherein the central processor calculates Multiple Input, Multiple Output (MIMO) weights from the channel-response matrix to demultiplex the plurality of data streams, wherein the MIMO weights produce a plurality of independent MIMO channels.
  • Claim: 3. The method of claim 2 , wherein the MIMO weights are calculated for each of a plurality of bins of an invertible transform.
  • Claim: 4. The method of claim 1 , wherein selecting comprises selecting a subset of receive antennas to enhance Multiple Input, Multiple Output performance.
  • Claim: 5. The method of claim 1 , wherein channel space diversity is determined from eigenvalue decomposition of a channel correlation matrix.
  • Claim: 6. The method of claim 1 , wherein the network comprises at least one of a wireline network and a wireless network.
  • Claim: 7. The method of claim 1 , wherein the multiple distributed WTs comprises at least one of a base transceiver station, an access point, a router, a relay, a repeater, a cellular handset, a wireless modem, and a consumer premises equipment.
  • Claim: 8. The method of claim 1 , further comprising performing at least one of user selection and transmit power balancing to enhance channel space diversity.
  • Claim: 9. The method of claim 1 , wherein selecting is adapted to at least one of changing user device positions, changing WT positions, network loads, throughput requirements, communication services, bandwidth availability, frequency reuse, and channel conditions.
  • Claim: 10. An apparatus in a multiuser (MU) multiple antenna system (MAS), comprising: a central processor; and a local-network interface configured to communicatively couple the central processor to multiple distributed wireless terminals (WTs) via a network; wherein the central processor is configured to: select, based on measured flat fading for each of the multiple distributed WTs, a plurality of antennas to activate from the multiple distributed WTs enhance channel space diversity within the MU-MAS; compute a channel-response matrix from measured flat fading of selected ones of the multiple distributed WTs; and using the channel-response matrix to perform subspace processing, wherein the subspace processing is configured to process received signals from the selected ones of the multiple distributed WTs for separating a plurality of data streams concurrently transmitted from a plurality of user devices to the plurality of antennas.
  • Claim: 11. The apparatus of claim 10 , wherein the central processor calculates Multiple Input, Multiple Output (MIMO) weights from the channel-response matrix for demultiplexing the plurality of data streams, wherein the MIMO weights provide for a plurality of independent MIMO channels.
  • Claim: 12. The apparatus of claim 11 , wherein the MIMO weights are calculated for each of a plurality of bins of an invertible transform.
  • Claim: 13. The apparatus of claim 10 , wherein the central processor is configured to select a subset of receive antennas to enhance Multiple Input, Multiple Output performance.
  • Claim: 14. The apparatus of claim 10 , wherein the channel space diversity is determined from eigenvalue decomposition of a channel correlation matrix.
  • Claim: 15. The apparatus of claim 10 , wherein the network comprises at least one of a wireline network and a wireless network.
  • Claim: 16. The apparatus of claim 10 , wherein the multiple distributed WTs comprises at least one of a base transceiver station, an access point, a router, a relay, a repeater, a cellular handset, a wireless modem, and a consumer premises equipment.
  • Claim: 17. The apparatus of claim 10 , wherein the central processor is configured to perform at least one of user device selection and transmit power balancing to enhance channel space diversity.
  • Claim: 18. The apparatus of claim 10 , wherein the central processor adapts selection of the plurality of antennas based on at least one of changing user device positions, changing WT positions, network loads, throughput requirements, communication services, bandwidth availability, frequency reuse, and channel conditions.
  • Claim: 19. The apparatus of claim 10 , wherein the set of channel measurements comprises channel measurements communicated from the multiple distributed WTs to the central processor.
  • Claim: 20. A non-transitory computer-readable medium having computer executable program code stored thereon, the computer executable program code configured to: in a multiuser (MU) multiple antenna system (MAS), comprising multiple distributed Wireless Terminals (WTs) communicatively coupled to a central processor via a network, select, based on measured flat fading for each of the multiple distributed WTs, a plurality of antennas to activate from the multiple distributed WTs to enhance channel space diversity within the MU-MAS; compute a channel-response matrix from the measured flat fading of selected ones of the multiple distributed WTs; and using the channel-response matrix to perform subspace processing, wherein the subspace processing is configured to process received signals from the selected ones of the multiple distributed WTs for separating a plurality of data streams transmitted concurrently from a plurality of user devices to the plurality of antennas.
  • Claim: 21. The non-transitory computer-readable medium of claim 20 , wherein the computer executable program code is further configured to calculate Multiple Input, Multiple Output (MIMO) weights from the channel-response matrix for demultiplexing the plurality of data streams, wherein the MIMO weights provide for a plurality of independent MIMO channels.
  • Claim: 22. The non-transitory computer-readable medium of claim 21 , wherein the MIMO weights are calculated for each of a plurality of bins of an invertible transform.
  • Claim: 23. The non-transitory computer-readable medium of claim 20 , wherein the computer executable program code is further configured to select a subset of receive antennas to enhance Multiple Input, Multiple Output performance.
  • Claim: 24. The non-transitory computer-readable medium of claim 20 , wherein the channel space diversity is determined from eigenvalue decomposition of a channel correlation matrix.
  • Claim: 25. The non-transitory computer-readable medium of claim 20 , wherein the network comprises at least one of a wireline network and a wireless network.
  • Claim: 26. The non-transitory computer-readable medium of claim 20 , wherein the multiple distributed WTs comprises at least one of a base transceiver station, an access point, a router, a relay, a repeater, a cellular handset, a wireless modem, and a consumer premises equipment.
  • Claim: 27. The non-transitory computer-readable medium of claim 20 , wherein the computer executable program code is further configured to perform at least one of user device selection and transmit power balancing to enhance channel space diversity.
  • Claim: 28. The non-transitory computer-readable medium of claim 20 , wherein the computer executable program code is further configured to adapt selection of the plurality of antennas based on at least one of changing user device positions, changing WT positions, network loads, throughput requirements, communication services, bandwidth availability, frequency reuse, and channel conditions.
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Shattil; “High-performance, high-capacity MC-CDMA via carrier interferometry,” Personal, Indoor and Mobile Radio Communications, 2001 12th IEEE International Symposium on; vol. 2, Sep. 30-Oct. 3, 2001 pp. G-11-G-16. cited by applicant ; S.A. Zekavat, C.R. Nassar, S. Shattil; “The merger of a single oscillating-beam smart antenna and MC-CDMA: transmit diversity, frequency diversity and directionality,” Broadband Communications for the Internet Era Symposium digest, 2001 IEEE Emerging Technologies Symposium on Sep. 10-11, 2001 pp. 107-112. cited by applicant ; B. Natarajan, C.R. Nassar, S. Shattil; “Enhanced Bluetooth and IEEE 802.11 (FH) via multi-carrier implementation of the physical layer,” Broadband Communications for the Internet Era Symposium digest, 2001 IEEE Emerging Technologies Symposium on; Sep. 10-11, 2001 pp. 129-133. cited by applicant ; Z. Wu; C.R. Nassar, S. Shattil; “Ultra wideband DS-CDMA via innovations in chip shaping,” Vehicular Technology Conference, 2001. VTC 2001 Fall. IEEE VTS 54th; vol. 4, Oct. 7-11, 2001 pp. 2470-2474. cited by applicant ; B. Natarajan, C.R. Nassar, S. Shattil; “Innovative pulse shaping for high-performance wireless TDMA,” Communications Letters, IEEE vol. 5, Issue 9, Sep. 2001 pp. 372-374. cited by applicant ; B.Natarajan, C.R. Nassar and S.Shattil; “Throughput Enhancement in TDMA through Carrier Interference Pulse Shaping,” IEEE Vehicular technology Conference Proceedings, vol. 4. Fall 2000, Boston, Sep. 24-28, 2000, pp. 1799-1803. cited by applicant ; K. Vincent, N. Lau; “On the Analysis of Peak-to-Average Ratio (PAR) for IS95 and CDMA2000 Systems,” IEEE Trans. Vehicular Tech., vol. 49, No. 6, Nov. 2000, pp. 2174-2188. cited by applicant ; J.Y. Baudais, J.F. Helard, J. Citerne; “An improved linear MMSE detection technique for multi-carrier CDMA system Comparison and combination with interference cancelation schemes,” European Transactions on Telecommunications, Wiley, 2000, 11 (7), pp. 547-554. cited by applicant ; T. Salzer, D. Mottier, L. Brunel; “Influence of System Load on Channel Estimation in MC-CDMA Mobile Radio Communication Systems,” Vehicular Technology Conference, 2001, VTC 2001 Spring. IEEE VTS 53rd vol. 1, May 3-9, 2001, pp. 522-526. cited by applicant ; H. Steendam, M. Moeneclaey; “The Effect of Carrier Phase Jitter on MC-CDMA Performance,” Communications, IEEE Transactions on Year: 1999, vol. 47, Issue: 2, Feb. 1999, pp. 195-198. cited by applicant ; S. Kaiser and P. Hoeher, “Performance of multi-carrier CDMA systems with channel estimation in two dimensions,” in Proc. 8th IEEE International Symposium on Personal, Indoorand Mobile Radio Communications (PIMRC), Helsinki, Finnland, Sep. 1997, pp. 115-119. cited by applicant ; J.F Helard, J.Y. Baudais, J. Citeme; “Linear MMSE detection technique for MC-CDMA,” Electronics Letters, Institution of Engineering and Technology, 2000, 36 (7), Mar. 30, 2000, pp. 665-666. cited by applicant ; J.S. Chow, J.M. Cioffi, J.A.C. Bingham; “Equalizer Training Algorithms for Multicarrier Modulation Systems,” Communications, 1993. ICC '93 Geneva. Technical Program, Conference Record, IEEE International Conference on vol. 2, May 23-26, 1993, pp. 761-765. cited by applicant ; LTE: Evolved Universal Terrestrial Radio Access (E-UTRA); Physical channels and modulation (3GPP TS 36.211 version 8.7.0 Release 8), Jun. 2009. cited by applicant ; LTE: Evolved Universal Terrestrial Radio Access (E-UTRA); Multiplexing and channel coding (3GPP TS 36.212 version 8.8.0 Release 8), Jan. 2010. cited by applicant ; Artés et al. “Fast iterative decoding of linear dispersion codes for unknown mimo channels.” Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on. vol. 1. IEEE, 2002. cited by applicant ; Fischer et al. “Space-time transmission using Tomlinson-Harashima precoding.” ITG FACHBERICHT (2002): 139-148. cited by applicant ; Vrcelj et al. “Pre-and post-processing for optimal noise reduction in cyclic prefix based channel equalizers.” Communications, 2002. ICC 2002. 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  • Primary Examiner: Fotakis, Aristocratis
  • Attorney, Agent or Firm: Shattil, Steven J

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