On Adaptive Lattice Reduction over Correlated Fading Channels

Najafi, Hamidreza; Jafari, M.E.D.; Damen, Mohamed Oussama

doi:10.1109/tcomm.2011.022811.090576

Cited by 16 publications

(21 citation statements)

References 7 publications

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“…its columns are almost orthogonal, than the original matrix H k . The orthogonality of the reduced matrix could be measured using the orthogonality defect factor which is defined as [10] …”

Section: Lattice Reduction-aided Linear Detectionmentioning

confidence: 99%

“…Adaptive LR is originally proposed in a single-carrier system under time-correlated channels [10]. We now extend this concept to our DSTTD- …”

Section: ) Adaptive Lattice Reductionmentioning

confidence: 99%

“…Moreover, the existing results [7]- [9] show that LR-aided linear detectors could achieve the same diversity order as that collected by the optimal ML detector while requiring much lower complexity. Interestingly, the complexity of LR-aided detectors can be further reduced with an adaptive LR approach [10]. Although this adaptive LR concept is originally proposed in a single-carrier system under time-correlated fading channels, it could be extended to OFDM systems.…”

Section: Introductionmentioning

confidence: 99%

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Combined adaptive lattice reduction-aided detection and antenna shuffling for DSTTD-OFDM systems

Tran

Safaei

2013

2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

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In this paper, we consider lattice reduction (LR) aided linear detection in a DSTTD-OFDM (double spacetime transmit diversity-orthogonal frequency division multiplexing) system with antenna shuffling. We first derive an antenna shuffling criterion for the LR-aided DSTTD-OFDM system. Next, we propose a combined reduced-feedback and adaptive LR algorithm by exploiting the correlation between OFDM subcarriers in the frequency domain. The LR-aided DSTTD OFDM system with this algorithm requires low computational effort for the LR operation and small feedback information. Simulation results show that a significant improvement could be achieved in the proposed system compared to previous (non-LR-aided) systems under spatially correlated channels. Also, the proposed complexity-reduced approach could greatly lower the system complexity while exhibiting a slight performance loss. Abstract-In this paper, we consider lattice reduction (LR) aided linear detection in a DSTTD-OFDM (double space-time transmit diversity-orthogonal frequency division multiplexing) system with antenna shuffling. We first derive an antenna shuffling criterion for the LR-aided DSTTD-OFDM system. Next, we propose a combined reduced-feedback and adaptive LR algorithm by exploiting the correlation between OFDM subcarriers in the frequency domain. The LR-aided DSTTD-OFDM system with this algorithm requires low computational effort for the LR operation and small feedback information. Simulation results show that a significant improvement could be achieved in the proposed system compared to previous (non-LRaided) systems under spatially correlated channels. Also, the proposed complexity-reduced approach could greatly lower the system complexity while exhibiting a slight performance loss.

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“…its columns are almost orthogonal, than the original matrix H k . The orthogonality of the reduced matrix could be measured using the orthogonality defect factor which is defined as [10] …”

Section: Lattice Reduction-aided Linear Detectionmentioning

confidence: 99%

“…Adaptive LR is originally proposed in a single-carrier system under time-correlated channels [10]. We now extend this concept to our DSTTD- …”

Section: ) Adaptive Lattice Reductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Combined adaptive lattice reduction-aided detection and antenna shuffling for DSTTD-OFDM systems

Tran

Safaei

2013

2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

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“…This strategy is used, e.g., in communications theory and cryptanalysis applications of LLL [13,1]. Our algorithm could prove useful to accelerate and analyse these applications.…”

Section: Introductionmentioning

confidence: 99%

LLL reducing with the most significant bits

Saruchi

Morel

Stehlé

et al. 2014

Proceedings of the 39th International Symposium on Symbolic and Algebraic Computation

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Let B be a basis of a Euclidean lattice, and B an approximation thereof. We give a sufficient condition on the closeness between B and B so that an LLL-reducing transformation U for B remains valid for B. Further, we analyse an efficient reduction algorithm when B is itself a small deformation of an LLL-reduced basis. Applications include speeding-up reduction by keeping only the most significant bits of B, reducing a basis that is only approximately known, and efficiently batching LLL reductions for closely related inputs.

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“…Finally, we consider the scenario where the channel is not assumed to be constant during the transmission of a frame and hence, the fading coefficients have temporal correlation and change slowly through time. We employ the adaptive detection method from [15] where it is shown that significant saving in complexity is achievable with a minimal performance degradation. Here, to save in the complexity of the LRA conditional decoding, we use the previous LLL results together with the previous selection of the best near-orthogonal columns of channel matrix and adaptively update the best reduced submatrix.…”

Section: Introductionmentioning

confidence: 99%

Lattice-Reduction-Aided Conditional Detection for MIMO Systems

Najafi

Damen

2014

IEEE Trans. Commun.

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We introduce a low-complexity detector with nearoptimal performance for transmission over multi-antenna systems. By using lattice basis reduction for generating almost orthogonal channel submatrices, we enhance the conditional optimization technique to implement a fast yet efficient detector. The lattice-reduction-aided (LRA) conditional method is presented as a general detection technique over fading channels to yield significant saving in computational complexity while achieving close to Maximum Likelihood (ML) error performance. By employing the orthogonality defect factor as a universal measure to select a near-orthogonal channel submatrix for conditional detection, we implement efficient detectors for MIMO systems. In particular, an almost optimal decoder with linear complexity for the Golden code is presented over quasi-static channels.

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On Adaptive Lattice Reduction over Correlated Fading Channels

Cited by 16 publications

References 7 publications

Combined adaptive lattice reduction-aided detection and antenna shuffling for DSTTD-OFDM systems

Combined adaptive lattice reduction-aided detection and antenna shuffling for DSTTD-OFDM systems

LLL reducing with the most significant bits

Lattice-Reduction-Aided Conditional Detection for MIMO Systems

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