Performance of MIMO systems with channel inversion

Haustein, Thomas; Helmolt, C. von; Jorswieck, Eduard A.; Jungnickel, Volker; Pohl, Volker

doi:10.1109/vtc.2002.1002659

Cited by 145 publications

(88 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Non-linear methods such as Dirty paper coding (DPC) [5] can achieve the optimal performance but deployment of DPC in real-time is infeasible due to high complexity. Some linear precoding methods such as channel inversion method [6], Block Diagonalization [7] (BD) and codebook based precoding [8] have also been proposed. In particular, the codebook based precoding method has received considerable attention recently as this linear precoding method has been adopted in the LTE specification due to its practicality and simplicity.…”

Section: Unitary Codebook Based Precodingmentioning

confidence: 99%

On the performance of SU-MIMO and MU-MIMO in 3GPP LTE downlink

Beh

Doufexi

Armour

2009

2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications

View full text Add to dashboard Cite

-LTE (Long Term Evolution) is a next major step in mobile radio communications, and will be introduced as Release 8 in the 3rd Generation Partnership Project (3GPP). The new evolution aims to reduce delays, improve spectrum flexibility and reduce cost for operators and end users [1]. To fulfil these targets, new enabling technologies need to be integrated into the current 3G radio network architectures. Multiple Input and Multiple Output (MIMO) is one of the crucial enabling technologies in the LTE system particularly in the downlink to achieve the required peak data rate. The unitary codebook based precoding technique is proposed in the standard to increase the capacity of the system. This paper presents a link level analysis of the LTE downlink and an investigation of the performance of both Single User (SU) MIMO and Multi User (MU) MIMO with codebook based unitary precoding.

show abstract

Section: Unitary Codebook Based Precodingmentioning

confidence: 99%

On the performance of SU-MIMO and MU-MIMO in 3GPP LTE downlink

Beh

Doufexi

Armour

2009

2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications

View full text Add to dashboard Cite

show abstract

“…Our calculations line up very well with our simulations that are based on 500 000 Monte Carlo runs. We also compare our results for the SVD method with the CI method [18], which requires CSI at the transmitter, as well as the classical linear combiners using MMSE and ZF methods, which require CSI only at the receiver. The CI method works for n T !…”

Section: Single-user Case Without Inter-cell Interferencementioning

confidence: 99%

“…n R and involves sending e s ¼ H y (HH y ) À1 b. Unlike [18], to keep the average transmit power equal to one, we need to normalise by the rms power ofs. But, we can write…”

Section: Single-user Case Without Inter-cell Interferencementioning

confidence: 99%

Performance analysis of multiple-input multiple-output singular value decomposition transceivers during fading and other cell interference

Smith

Garth

Shafi³

2007

IET Microw. Antennas Propag.

View full text Add to dashboard Cite

A generalised method is derived to compute the error probabilities of singular value decomposition (SVD)-based receivers for a multiple-input multiple-output (MIMO) system with uncoded transmission. The method can be used for a wide class of flat fading environments, including independent and identically distributed (i.i.d.) and semi-correlated Rayleigh and i.i.d. Ricean channels. Although the method is applied to equal-power binary phase shift keying, it can easily be extended to higher-order M-ary phase shift keying (M-PSK) and M-ary quadrature amplitude modulation (M-QAM) signal constellations and adaptive 'water-filling' schemes. The error probability curves derived from closed-form formulas and simulations demonstrate very close agreement. The error performances of channel inversion, minimum mean square error and zero forcing receivers are compared with the SVD receiver for a single-user system. The impact of multiple users is considered by studying the performance of an adaptive MIMO SVD transmission scheme operating in a cellular environment. In particular, the effect of inter-cell interference on the performance of the scheme is quantified, modelling the interference as increased Gaussian noise. A number of cellular layouts are examined and the impact of the resulting singal-to-interference and noise ratio on the constellation sizes that can be supported, the BER and so on is considered. The primary metric used for our performance analysis is the error-free transmission rate, which is derived for our adaptive system. For the cellular scenarios considered, it can be found that the effect of interference is considerable and the performance of the adaptive MIMO SVD scheme is only marginally better than that provided by conventional diversity methods. IntroductionThe pioneering work of Telatar [1] and Foschini and Gans [2] has resulted in immense interest in multiple-input multiple-output (MIMO) systems. They offer the promise of large system capacities, and thus are being considered for fourth generation wireless systems. However, the majority of work in this area has focussed on single-user MIMO systems, and recent results [3] suggest that the promised rates may not be available in cellular systems. Hence, in this paper we study the performance of both fixed and adaptive MIMO singular value decomposition (SVD) transmission schemes in a cellular environment and make the following contributions: † We present a generalised method that can be used to derive the exact symbol-error probability of fixed SVD-based MIMO receivers using uncoded transmission. We demonstrate the method for independent and identically distributed (i.i.d.) and semi-correlated Rayleigh and i.i.d. Ricean channels. Our results provide new insights in understanding the error performance of MIMO systems. For example, when the number of antennas is increased from two to four at both the transmit and receive ends, although the ergodic capacity increases, the error performance degrades. Hence, we are able to quantify the tradeoff betw...

show abstract

“…In practice, however, it is difficult to obtain the precise downlink channel state information (CSI) required for JT at the base station. It is shown in [3] that requirements are much stricter than those for joint detection in the opposite uplink direction. The complexity is another issue.…”

Section: Introductionmentioning

confidence: 99%

Adaptive MIMO transmission in a realistic multicell scenario

Thiele

Jungnickel

2008

2008 IEEE Radio and Wireless Symposium

View full text Add to dashboard Cite

Abstract-Cochannel interference in multicellular radio systems is a challenge when full area coverage needs to be ensured. On the physical layer there exist several concepts to combat the interference. However, their performance in an orthogonal frequency division multiple access (OFDMA) system has not been thoroughly investigated yet. One promising technique is the employment of multiple antennas at the terminal side for the purpose of interference rejection. To increase the cell capacity furher and under the assumption of a narrowband feedback channel, unitary beamforming can be used at the base station. We provide a performance evaluation of these techniques for an OFDMA system in the downlink and give quantitative results for the achievable capacity gains.

show abstract

Performance of MIMO systems with channel inversion

Cited by 145 publications

References 2 publications

On the performance of SU-MIMO and MU-MIMO in 3GPP LTE downlink

On the performance of SU-MIMO and MU-MIMO in 3GPP LTE downlink

Performance analysis of multiple-input multiple-output singular value decomposition transceivers during fading and other cell interference

Adaptive MIMO transmission in a realistic multicell scenario

Contact Info

Product

Resources

About