Lattice-Reduction-Aided Broadcast Precoding

Windpassinger, C.; Fischer, Robert F. H.; Huber, Johannes B.

doi:10.1109/tcomm.2004.838732

Cited by 253 publications

(192 citation statements)

References 9 publications

Supporting

Mentioning

189

Contrasting

Unclassified

Order By: Relevance

“…In order to reduce complexity, authors of [10] offer to solve the minimization in (4.6) with an approximate method similar to the one used in [36] and [37]. The LLL lattice reduction can be used to solve equation (4.6) for an approximate value.…”

Section: Search Based Broadcast Precodingmentioning

confidence: 99%

“…The authors of [10] claimed and showed by simulations that their proposed method achieves a diversity gain, equal to the one for the vector perturbation method in [34].…”

Section: Search Based Broadcast Precodingmentioning

confidence: 99%

“…In order to achieve the promised rate, some kind of precoding is required at the transmitter side. Lattice reduction methods such as LLL found themselves a great role in broadcast system too [10]. Therefore, the proposed adaptive method can be used to reduce the complexity of the precoding stage in a broadcast system too.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Adaptive lattice reduction in MIMO systems

Jafari

Najafi

Damen

2008

2008 International Symposium on Information Theory and Its Applications

View full text Add to dashboard Cite

Section: Search Based Broadcast Precodingmentioning

confidence: 99%

“…The authors of [10] claimed and showed by simulations that their proposed method achieves a diversity gain, equal to the one for the vector perturbation method in [34].…”

Section: Search Based Broadcast Precodingmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive lattice reduction in MIMO systems

Jafari

Najafi

Damen

2008

2008 International Symposium on Information Theory and Its Applications

View full text Add to dashboard Cite

“…LR-aided vector perturbation [4], [5], [6] is one approach to alleviate the problem of transmit power enhancement. The basic idea is to find an unimodular matrix B that is suitable to transform P into a better basisP = PB.…”

Section: B Lr-aided Zero-forcing Precodingmentioning

confidence: 99%

“…Here, precoding is performed so that each user receives only its intended data stream. With simple linear preequalization the transmit power is increased significantly, which, however, can be partially mitigated by lattice reduction (LR) aided vector perturbation [4], [5], [6]. Unfortunately, many LR algorithms have a considerable computational complexity, rendering the economic VLSI implementation of real-time multi-user communication systems a challenging task.…”

Section: Introductionmentioning

confidence: 99%

VLSI Implementation of a Lattice-Reduction Algorithm for Multi-Antenna Broadcast Precoding

Burg

Seethaler

Matz

2007

2007 IEEE International Symposium on Circuits and Systems (ISCAS)

View full text Add to dashboard Cite

Abstract-This paper describes the first VLSI implementation of lattice reduction (LR) aided multi-antenna broadcast precoding with vector perturbation. The considered LR scheme is based on Brun's algorithm for finding integer relations. We analyze its high-level architectural issues, we devise a corresponding low-complexity implementation, and, finally, we develop a suitable VLSI architecture. The resulting circuit provides reference for the true silicon complexity of LR for broadcast precoding with vector perturbation. Contribution: This paper shows how LR-aided vector perturbation can be implemented efficiently as an ASIC. To this end, we consider the LR algorithm proposed in [6], that is based on Brun's algorithm for finding integer relations. The algorithm is first streamlined for VLSI implementation and a suitable hardware architecture is presented. The reported implementation results provide reference for the true silicon complexity of LR-aided vector perturbation, which -to the best of our knowledge -has not been described so far in the open literature. I. IntroductionOutline: The remainder of this section describes the system model and the LR-aided vector perturbation algorithm under consideration. Section II focuses on the high-level architecture and describes algorithm transformations that reduce the hardware complexity. The details of the proposed register transfer level (RTL) architecture are then described in Section III. Finally, implementation results are presented in Section IV.

show abstract