Achievable sum-rates in MIMO broadcast channels with vector precoding techniques using coded modulation

被引:2
|
作者
Christensen, Soren Skovgaard [1 ]
de Carvalho, Elisabeth [1 ]
机构
[1] Aalborg Univ, Ctr TeleInFrastruktur, Aalborg, Denmark
关键词
D O I
10.1109/VETECS.2007.467
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper we establish end-to-end achievable sum-rates of different linear and non-linear pre-processing techniques employing Amplitude-Shift Keying (ASK)-modulation in a flat-fading Multiple Input Multiple Output (MIMO) broadcast system with single antenna terminals. The obtained results reveal that the Minimum Mean Square Error Vector Precoding (MMSE-VP) technique achieve close to capacity performance in various system settings. Thus it achieves a loss of merely 23 dB compared to the sum-capacity in the mid to high SNR range including the effects of practical system implementations, such as a non-ideal modulation set and a sub-optimal solver at the transmitter. When the SNR is low or when the system experience a small load, simpler pure linear techniques achieve similar performance.
引用
收藏
页码:2261 / 2265
页数:5
相关论文
共 27 条
  • [1] Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels
    Vishwanath, S
    Jindal, N
    Goldsmith, AG
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2003, 49 (10) : 2658 - 2668
  • [2] Achievable Sum-Rates in Gaussian Multiple-Access Channels with MIMO-AF-Relay and Direct Links
    Knabe, Frederic
    Mohamed, Omar
    Huppert, Carolin
    2012 IEEE INFORMATION THEORY WORKSHOP (ITW), 2012, : 447 - 451
  • [3] Distributed Precoding Techniques for Weighted Sum Rate Maximization in MIMO Interfering Broadcast Channels
    Choi, Hyun-Joo
    Park, Seok-Hwan
    Lee, Sang-Rim
    Lee, Inkyu
    2012 IEEE VEHICULAR TECHNOLOGY CONFERENCE (VTC FALL), 2012,
  • [4] On Convex Vector Precoding for Multiuser MIMO Broadcast Channels
    de Miguel, Rodrigo
    Muller, Ralf R.
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2009, 57 (11) : 4497 - 4508
  • [5] Secrecy Sum-Rates for Multi-User MIMO Regularized Channel Inversion Precoding
    Geraci, Giovanni
    Egan, Malcolm
    Yuan, Jinhong
    Razi, Adeel
    Collings, Iain B.
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2012, 60 (11) : 3472 - 3482
  • [6] Vector Precoding for Gaussian MIMO Broadcast Channels: Impact of Replica Symmetry Breaking
    Zaidel, Benjamin M.
    Muller, Ralf R.
    Moustakas, Aris L.
    de Miguel, Rodrigo
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2012, 58 (03) : 1413 - 1440
  • [7] Sum rates for multi-user MIMO vector perturbation precoding with regularization
    Razi, Adeel
    Ryan, Daniel J.
    Yuan, Jinhong
    Collings, Iain B.
    PHYSICAL COMMUNICATION, 2014, 13 : 187 - 196
  • [8] Achievable Sum Rate and Degrees of Freedom of Opportunistic Interference Alignment in MIMO Interfering Broadcast Channels
    Suo, Long
    Li, Jiandong
    Li, Hongyan
    Zhang, Shun
    Davidson, Timothy N.
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2019, 67 (06) : 4062 - 4073
  • [9] ACHIEVABLE SUM-RATES IN THE TWO-USER GAUSSIAN MULTIPLE-ACCESS CHANNEL WITH A MIMO-AF-RELAY
    Knabe, Frederic
    Sezgin, Aydin
    19TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO-2011), 2011, : 1829 - 1833
  • [10] Downlink Sum-Rates of SC-FDP and OFDM Massive MIMO Systems in Doubly Dispersive Channels
    Mokhtari, Zahra
    Sabbaghian, Maryam
    Dinis, Rui
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 69 (08) : 8065 - 8079