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Content Provider | IEEE Xplore Digital Library |
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Author | Lv Ding Rui Liu Bin Jiang Xiqi Gaoz |
Copyright Year | 2010 |
Description | Author affiliation: National Mobile Communications Research Laboratory, Southeast University Nanjing 210096, P. R. China (Lv Ding; Rui Liu; Bin Jiang; Xiqi Gaoz) |
Abstract | This paper presents a new codeword selection criterion based on the Euclidean distance in the limited feedback unitary precoding systems. Because of the non-uniqueness of singular value decomposition (SVD), various precoding matrices may result in the same performance. We take the rotation and permutation invariance property into the definition of distortion function, then bring forward a new codeword selection criterion and distance metric derived from the improved Euclidean distance. A codebook design method based on the generalized Lloyd algorithm (GLA) is proposed thereafter. For the traditional subspace distance on the Grassmann manifold, the transmit data streams must be less than the transmit antennas, otherwise all the precoding matrices result in the same distortion results, however, our new distance metric can overcome this limitation. Simulation results show that our proposed distance metric can work properly with the unitary precoding codebook, apart from this, it can also acquire excellent performance under other spatial multiplexing environments. |
Starting Page | 1 |
Ending Page | 6 |
File Size | 411782 |
Page Count | 6 |
File Format | |
ISBN | 9781424475568 |
e-ISBN | 9781424475551 |
e-ISBN | 9781424475544 |
DOI | 10.1109/WCSP.2010.5633557 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-10-21 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Algorithm design and analysis Unitary precoding Bit error rate Receivers Euclidean distance Lloyd codebook Matrix decomposition Spatial multiplexing Limited feedback Signal to noise ratio |
Content Type | Text |
Resource Type | Article |
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