Advances in Coordinated Multi-Cell Multi-User MIMO Systems

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MIMO Broadcast Systems with Joint Transmit Precoding and Receive Equalizer Transmit Precoding T k H 1 Receive Equalizer Receive Equalizer H K R 1 H k R K R k M T M R complex-valued entries of channel matrix per user Need return R k to each user!! • Utilize feedback information to calculate T k and R k for interference cancellation – Block diagonalization (BD)
A Nonconformist (Why Not) Issue • Most MU-MIMO systems design transmit beamforming (precoding) at the transmitter side to cancel the inter-stream interference among serving users, but suffer from feedback channel errors and bandwidth issues. • Q. Can we have a different architecture to realize MU- MIMO broadcast systems?
Page 1 and 2: Advances in Coordinated Multi-Cell
Page 3 and 4: Outline 1 Introduction to MIMO Ante
Page 5 and 6: What happened in 1895?
Page 7 and 8: 1895 in Italy It is dangerous to pu
Page 9 and 10: Wireless 101 The more things change
Page 11 and 12: Some Milestones in Telecommunicatio
Page 13 and 14: Research Trends in Wireless Network
Page 15 and 16: 1. Introduction to MIMO Antenna Tec
Page 17 and 18: Diversity-Multiplexing Tradeoff •
Page 19 and 20: A Multiuser MIMO Scheduling System
Page 21 and 22: Nakagami-m Fading Channel Which on
Page 25 and 26: Some Diversity-Based MIMO Schemes
Page 27 and 28: A Closer Look for their Interplay D
Page 29 and 30: ST/SC over Multiuser Scheduling Sys
Page 31 and 32: STBC over Multiuser Scheduling Syst
Page 33 and 34: Main Point in Story 1 • Multiuser
Page 35 and 36: Issue for a Spatial Multiplexing-ba
Page 39 and 40: Effect of SWNSF Scheduling on min
Page 41 and 42: Effect of SWNSF Scheduling on Other
Page 43 and 44: Main Point in Story 2 Multi-User Sc
Page 45 and 46: MIMO Broadcast Systems • MIMO ant
Page 47: MIMO Broadcast Systems with Transmi
Page 51 and 52: New Perspective: MIMO Broadcast Sys
Page 53 and 54: Literature Survey on MU-MIMO Tx BD
Page 55 and 56: Example of an MU-MIMO System with R
Page 57 and 58: Sum Rate Comparison • Under simil
Page 59 and 60: Two Issues on channel information a
Page 61 and 62: Effects of Feedback CSI Variations
Page 63 and 64: Summary • The MU-MIMO with receiv
Page 65 and 66: 4. Multi-cell Network MIMO systems
Page 67 and 68: key Issues for Network MIMO 2nd-tie
Page 69 and 70: Basic Fractional Frequency Reuse (F
Page 71 and 72: Proposed Solution Coordinated group
Page 73 and 74: Benefit of Rearranged Frequency Par
Page 75 and 76: Benefit of Proposed Architecture ov
Page 77 and 78: Summary • By exploiting geographi
Page 79 and 80: 5. Updates of Network MIMO Techniqu
Page 81 and 82: LTE-A Key Technologies • Carrier
Page 83 and 84: Advanced MIMO Techniques in UL •
Page 85 and 86: R10 LTE-A Performance Improvement
Page 87 and 88: CoMP (Coordinated Multipoint Transm
Page 89 and 90: Coordinated Beamforming (CB) If the
Page 91 and 92: Mulit-Cell Co-operations Joint Proc
Page 93 and 94: NCTU has built a LTE-A System-Level
Page 95 and 96: NCTU LTE-A System-Level Simulator I
Page 97 and 98: Hierarchical Base Station Cooperati
Page 99 and 100:
Spectral Efficiency for Calibration
Page 101 and 102:
Spectral Efficiency for HBSC-M Syst
Page 103 and 104:
Main Point in Story 5 LTE-A system-
Page 105 and 106:
Future Research Directions • Chan
Page 107 and 108:
References • C. J. Chen and Li-Ch
Page 109 and 110:
Reference [1] TR 36.814 : 3rd Gener
Page 111 and 112:
Reference [11] J. Salo, G. Del Gald
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Advances in Coordinated Multi-Cell Multi-User MIMO Systems

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