Maximum likelihood decoding in a space division multiplexing system

Nee, Richard van; Zelst, A. van; Awater, G.A.

doi:10.1109/vetecs.2000.851407

Cited by 156 publications

(62 citation statements)

References 6 publications

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“…They all lead to new (suboptimal) detectors, which can be interpreted as minimizing another norm for the triangularized problem (instead of the Euclidean or 2 -norm, which corresponds to the ML solution). In particular, the first approximation leads to the minimization of the 1 -norm of Rs −ŷ [10]:…”

Section: The Square Root Sphere Criterionmentioning

confidence: 99%

Performance tradeoffs in the VLSI implementation of the sphere decoding algorithm

Burg¹,

Borgmann²,

Simon³

et al. 2004

Fifth IEE International Conference on 3G Mobile Communication Technologies (3G 2004) the Premier Technical Conference for 3G An

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Abstract-Sphere decoding (SD) allows to solve highdimensional MIMO maximum likelihood detection problems with significantly lower complexity than other methods. The SD algorithm has, however, mostly only been analyzed with DSP implementations in mind. We show that VLSI implementations call for new performance metrics, analyze the resulting implementation tradeoffs for the decoding of complex signal constellations, and we develop design guidelines and a generic architecture. When using the ∞ -norm for the sphere constraint instead of the 2 -norm, significant reductions in circuit complexity and improvements in tree pruning efficiency are possible at a minimum performance penalty. As a proof of concept, a high performance ASIC implementation is presented.

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Section: The Square Root Sphere Criterionmentioning

confidence: 99%

Performance tradeoffs in the VLSI implementation of the sphere decoding algorithm

Burg¹,

Borgmann²,

Simon³

et al. 2004

Fifth IEE International Conference on 3G Mobile Communication Technologies (3G 2004) the Premier Technical Conference for 3G An

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“…The optimal multi-substream detection for SDM is MLD [23], [24]. The number of possible signal constellations for each substream is defined by the modulation scheme employed.…”

Section: S(t)mentioning

confidence: 99%

Survey of Transmission Methods and Efficiency Using MIMO Technologies for Wireless LAN Systems

Hiraguri

Nishimori

2015

IEICE Trans. Commun.

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SUMMARY Multiple-input multiple-output (MIMO) transmission is attracting interest for increasing the transmission rates of wireless systems. This paper surveys MIMO transmission technology from the viewpoints of transmission methods, access control schemes, and total transmission efficiency. We consider wireless local area networks (WLAN) systems that use MIMO technology; moreover, we focus on multiuser MIMO (MU-MIMO) technology, which will be introduced in next-generation WLAN systems such as IEEE802.11ac. This paper explains the differences in the detailed access control procedures for MIMO and MU-MIMO transmission, including channel state information (CSI) acquisition. Furthermore, the issues related to CSI feedback and solutions are also discussed. Related works on the medium access control (MAC) protocol in MIMO/MU-MIMO transmission are introduced. In addition, the throughput performance using MIMO/MU-MIMO transmission is evaluated considering an IEEE802.11ac-based WLAN system. From the numerical evaluation, it is shown that the overhead due to CSI feedback from the user terminals to the base station causes a decrease in the throughput. We verified that implicit beamforming, which eliminates CSI feedback, is effective for solving this issue. , and commercial products based on these standards will appear in the near future. Moreover, the standardization of next-generation wireless LAN (WLAN) aims to achieve further high performance and high efficiency by using MU-MIMO transmission technology, and a task group for that standard called IEEE802.11ax [22] [32]. However, the transmission rate achieved by SU-MIMO/MU-MIMO transmission is not currently adequately utilized because the overhead of the access control protocol in the medium access control (MAC) layer decreases the transmission efficiency, even though the physical transmission rate has been increased in the PHY layer by the adoption of SU-MIMO/MU-MIMO technology. Therefore, the MAC-service access point (MAC-SAP) throughput including the protocol in the MAC layer decreases greatly creases in multilevel modulation and the number of subcarriers in WLAN systems. The decrease in the transmission efficiency is a significant issue because the ratio of the overhead of the MAC protocol is larger for MU-MIMO transmission. Although there are above issues, the frequency utilization and channel capacity have been evaluated in only PHY-layer.Further, the throughput and delay characteristics in relation to the access control scheme have been evaluated in the MAC layer. Therefore, these studies have been individually evaluated. No adequate evaluation of the throughput and transmission efficiency considering both the PHY and MAC layers has not been published.This paper surveys conventional SU-MIMO/MU-MIMO transmission technology from the viewpoints of both wireless communication systems and transmission efficiency, and the most popular WLAN systems that use SU-MIMO/MU-MIMO technology are chiefly discussed. Moreover, we survey the MU-MIMO technology used in next-generatio...

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“…In DAN, many antennas connected by optical fiber cables with a base station (BS) are spatially distributed so that with a high probability, some antennas can always be visible from a mobile station (MS). There are two ways to utilize DAN: transmit/receive diversity [6]- [11] and spatial multiplexing [12]- [14]. In this study, we consider the single-carrier (SC) DAN downlink transmit/receive diversity.…”

Section: Introductionmentioning

confidence: 99%

Channel capacity of distributed antenna network using spacetime block coded-joint transmit/receive diversity

Matsuda

Matsukawa

Tatsunori

et al. 2010

2010 IEEE International Conference on Communication Systems

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Abstract-Distributed antenna network (DAN) is a promising wireless network to solve the problems arising from shadowing and path lesses as well as frequency-selective fading. Many anntennas are spatially distributed around each base station (BS) so that with a high probability, some antennas can always be visible from a mobile station (MS). Recently, we proposed a 2-dimensional water-filling (2D-WF) transmit diversity for singlecarrier (SC) DAN downlink transmission. An MS having single receive antenna was considered. In this paper, we extend the 2D-WF transmit diversity to the case of MS having multiple receive antennas to implement frequency-domain space-time block coded-joint transmit/receive diversity (FD-STBC-JTRD). The channel capacity distribution is evaluated by Monte-Carlo numerical computation method. It is shown that the use of 2 receive antennas maximize the downlink channel capacity while the use of around 5 distributed transmit antennas is sufficient.

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Maximum likelihood decoding in a space division multiplexing system

Cited by 156 publications

References 6 publications

Performance tradeoffs in the VLSI implementation of the sphere decoding algorithm

Performance tradeoffs in the VLSI implementation of the sphere decoding algorithm

Survey of Transmission Methods and Efficiency Using MIMO Technologies for Wireless LAN Systems

Channel capacity of distributed antenna network using spacetime block coded-joint transmit/receive diversity

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