Finite-SNR diversity-multiplexing tradeoff of space-time codes

Narasimhan, R.; Ekbal, Amal; Cioffi, J.M.

doi:10.1109/icc.2005.1494394

Cited by 33 publications

(21 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additionally, diversity was defined in [16] as the negative slope of the log-log plot of outage probability versus SNR, as illustrated in Fig. 3, for fixed multiplexing gain r and SNR ρ:…”

Section: Finite-snr Diversity-multiplexing Tradeoffmentioning

confidence: 99%

“…While the conventional definitions of diversity and multiplexing gains of a system refer to asymptotic quantities as the SNR approaches infinity [5], here we consider the multiplexing and diversity definitions of [13], [16] that extend these tradeoffs to finite-SNRs. In the finite-SNR case, the multiplexing gain r is defined as the ratio of the system data rate R (in bps/Hz) to the capacity of an AWGN channel at SNR ρ and indicates how aggressively the system increases the throughput with SNR:…”

Section: Finite-snr Diversity-multiplexing Tradeoffmentioning

confidence: 99%

“…Specifically, power partitioning between the source and the relay is neglected and this approximation doesn't accurately account for the transition between the asymptotic piecewise linear operating regions. The finite-SNR diversitymultiplexing tradeoff framework derived in [13], [16], on the other hand, describes the tradeoff between diversity and multiplexing for each SNR.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Finite-SNR diversity-multiplexing tradeoffs in fading relay channels

Stauffer¹,

Oyman

Narasimhan

et al. 2007

IEEE J. Select. Areas Commun.

Self Cite

View full text Add to dashboard Cite

We analyze the diversity-multiplexing tradeoff in a fading relay channel at finite signal-to-noise ratios (SNRs). In this framework, the rate adaptation policy is such that the target system data rate is a multiple of the capacity of an additive white Gaussian noise (AWGN) channel. The proportionality constant determines how aggressively the system scales the data rate and can be interpreted as a finite-SNR multiplexing gain. The diversity gain is given by the negative slope of the outage probability with respect to the SNR. Finite-SNR diversity performance is estimated using a constrained max-flow min-cut upper bound on the relay channel capacity. Moreover, the finite-SNR diversity-multiplexing tradeoff is characterized for three practical decode and forward half-duplex cooperative protocols with different amounts of broadcasting and simultaneous reception. For each configuration, system performance is computed as a function of SNR under a system-wide power constraint on the source and relay transmissions. Our analysis yields the following findings; (i) improved multiplexing performance can be achieved at any SNR by allowing the source to transmit constantly, (ii) both broadcasting and simultaneous reception are desirable in half-duplex relay cooperation for superior diversitymultiplexing performance, and (iii) the diversity-multiplexing tradeoff at finite-SNR is impacted by the power partitioning between the source and the relay terminals. Finally, we verify our analytical results by numerical simulations.Index Terms-Cooperative diversity, finite-SNR diversitymultiplexing tradeoff, max-flow min-cut theorem, half-duplex relay protocols

show abstract

“…Additionally, diversity was defined in [16] as the negative slope of the log-log plot of outage probability versus SNR, as illustrated in Fig. 3, for fixed multiplexing gain r and SNR ρ:…”

Section: Finite-snr Diversity-multiplexing Tradeoffmentioning

confidence: 99%

Section: Finite-snr Diversity-multiplexing Tradeoffmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Finite-SNR diversity-multiplexing tradeoffs in fading relay channels

Stauffer¹,

Oyman

Narasimhan

et al. 2007

IEEE J. Select. Areas Commun.

Self Cite

View full text Add to dashboard Cite

show abstract

“…[19] has derived the finite-SNR DMT of STBC over conventional Rayleigh MIMO and [20] considers correlated and Rician CP-MIMO. We extend the derivation to Rician SP-MIMO.…”

Section: A Approximating the Outage Capacity Of Stbc Over Sp-mimomentioning

confidence: 99%

Performance Evaluation of Diversity Schemes over Space-Polarization MIMO Channels

Talebi

Pratt

2014

2014 National Wireless Research Collaboration Symposium

View full text Add to dashboard Cite

We compare the performance of orthogonal spacetime block code (OSTBC) diversity schemes for co-polarized (CP) MIMO architectures and for space-polarization MIMO (SP-MIMO) architectures. This latter architecture employs a dual-polarized antenna in place of the co-polarized antennas to provides twice the number of antenna ports without substantially increasing the form factor of the antenna system. However, SP-MIMO systems exhibit power asymmetries in the MIMO subchannel gains due to the use of orthogonally-polarized antennas. We derive an approximate outage capacity formulation for a SP-MIMO 1-path narrowband MIMO model and provide finite-SNR diversity-multiplexing tradeoff of OSTBC schemes over such SP-MIMO channels. We show that SP-MIMO systems outperform CP-MIMO. Also, the so called "diversity order" definition used in literature for Rician MIMO channel is shown not be a valid benchmark to compare performance of SP-MIMO and CP-MIMO under the considered channel normalization approach.

show abstract

“…In [8], the finite-SNR DMT of Orthogonal Space Time Block Codes (OSTBC) and Spatial Multiplexing with Horizontal Encoding (SM-HE) is analyzed. The finite-SNR DMT of OSTBC in Nakagami-m fading channels has been analyzed in [9].…”

Section: A Prior Workmentioning

confidence: 99%

Finite-SNR Diversity Multiplexing Tradeoff of SIMO diversity combining schemes under Nakagami-m fading

Lavanis

Jalihal

2010

2010 National Conference on Communications (NCC)

View full text Add to dashboard Cite

Multiple Antenna (MA) systems are fundamental in wireless communications. MA systems provide two kinds of advantages, namely diversity gain and multiplexing gain. However, there is an inherent tradeoff between the two, under slow fading conditions and is captured in [1] under asymptotically high signal to noise ratio (SNR). This is known as the Diversity Multiplexing Tradeoff (DMT). It has emerged as a performance criterion for wireless systems and has been generalized to finite-SNR in [2]. In this paper the finite-SNR DMT of rate-adaptive receive diversity combining schemes, namely Maximum Ratio Combining (MRC) and Selection Combining (SC) in presence of Nakagami-m fading, is derived. Closed form expressions of the finite-SNR DMT of Single Input Multiple Output (SIMO)diversity combining schemes are obtained. From the finite-SNR DMT curves, this paper concludes that at especially low SNR, i.e. SNR less than 20 dB, rate-adaptive SIMO-MRC scheme performs better than SIMO-SC, when the fading parameter m is same on all the paths. However, the performance of SIMO-SC catches up with that of SIMO-MRC at higher SNR.

show abstract

Finite-SNR diversity-multiplexing tradeoff of space-time codes

Cited by 33 publications

References 10 publications

Finite-SNR diversity-multiplexing tradeoffs in fading relay channels

Finite-SNR diversity-multiplexing tradeoffs in fading relay channels

Performance Evaluation of Diversity Schemes over Space-Polarization MIMO Channels

Finite-SNR Diversity Multiplexing Tradeoff of SIMO diversity combining schemes under Nakagami-m fading

Contact Info

Product

Resources

About