Uplink Capacity of OFDM Multi-User MIMO Using Near-ML Detection in a Cellular System

Multi-user multi-input multi-output (MIMO) system has been attracting much attention due to its high spectrum efficiency. Non-linear MIMO signal detection methods with less computational complexity have been widely studied for single-user MIMO systems. In this paper, we investigate how a lattice reduction (LR)-aided detection and a maximum likelihood detection (MLD) employing the QR decomposition and M-algorithm (QRM-MLD), which are commonly known as non-linear MIMO signal detection methods, improve the uplink capacity of a multi-user MIMO-OFDM cellular system, compared to simple linear detection methods such as zero-forcing detection (ZFD) and minimum mean square error detection (MMSED). We show that both LR-aided linear detection and QRM-MLD can achieve higher uplink capacity than simple linear detection at the cost of moderate increase of computational complexity. Furthermore, QRM-MLD can obtain the same uplink capacity as MLD.

[1]  Richard D. Gitlin,et al.  The impact of antenna diversity on the capacity of wireless communication systems , 1994, IEEE Trans. Commun..

[2]  K.-D. Kammeyer,et al.  MMSE extension of V-BLAST based on sorted QR decomposition , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[3]  A. Robert Calderbank,et al.  MIMO Wireless Communications , 2007 .

[4]  W. C. Jakes,et al.  Microwave Mobile Communications , 1974 .

[5]  Amir K. Khandani,et al.  LLL Reduction Achieves the Receive Diversity in MIMO Decoding , 2006, IEEE Transactions on Information Theory.

[6]  Sanjay Dhar Roy,et al.  Outage analysis in presence of correlated interferers in a cognitive-cellular network , 2010, 2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA).

[7]  Gregory W. Wornell,et al.  Lattice-reduction-aided detectors for MIMO communication systems , 2002, Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE.

[8]  Khaled Ben Letaief,et al.  Layered space-time multiuser detection over wireless uplink systems , 2003, IEEE Trans. Wirel. Commun..

[9]  Dirk Wübben,et al.  Near-maximum-likelihood detection of MIMO systems using MMSE-based lattice reduction , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[10]  Martin Haardt,et al.  An introduction to the multi-user MIMO downlink , 2004, IEEE Communications Magazine.

[11]  Jiajia Liu,et al.  A novel Inter-Cell Interference Coordination scheme for OFDMA system , 2010, 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems.

[12]  John B. Anderson,et al.  Sequential Coding Algorithms: A Survey and Cost Analysis , 1984, IEEE Trans. Commun..

[13]  Fumiyuki Adachi,et al.  SINGLE-CARRIER TRANSMISSION USING QRM-MLD WITH ANTENNA DIVERSITY , 2009 .

[14]  Fumiyuki Adachi,et al.  Uplink Capacity of A Cellular System Using Multi-user Single-carrier MIMO Multiplexing Combined with Frequency-domain Equalization and Transmit Power Control , 2011, Wirel. Pers. Commun..

[15]  Abbas Jamalipour,et al.  Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[16]  S.W. Halpern.  Reuse partitioning in cellular systems , 1983, 33rd IEEE Vehicular Technology Conference.

[17]  K. Kammeyer,et al.  Efficient algorithm for decoding layered space-time codes , 2001 .

[18]  Magnus Sandell,et al.  Complexity Study of Lattice Reduction for MIMO Detection , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[19]  Kyeong Jin Kim,et al.  Joint channel estimation and data detection algorithms for MIMO-OFDM systems , 2002, Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002..

[20]  László Lovász,et al.  Factoring polynomials with rational coefficients , 1982 .