Effect of transmitter and receiver impairments on the performance of MIMO in HSDPA

Göransson, Bo; Grant, S.J.; Larsson, Elisabeth; Zhu, Fu Rong

doi:10.1109/spawc.2008.4641657

Cited by 27 publications

(21 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consider a function Z that maps RVs to real numbers 3 and define two sets of RVs, V ∈ V and X ∈ X , with joint probability P V,X . Assume for convenience that P V,X can be described in terms of a joint PDF p(V, X) and denote the marginal PDFs of X and V p X (X) and p V (V ), respectively.…”

Section: Appendix B Replica Methodsmentioning

confidence: 99%

“…Except for [2], practical discrete modulation schemes, e.g., QAM, have not been previously analytically evaluated in the presence of transmit noise, and simulation-based studies usually concern bit/symbol/packet error rates, not transmission rates which could be more interesting when studying modern adaptive encoding. In contrast, all the analytical capacity studies assume Gaussian signaling and the throughput simulations of [3] with adaptive modulation and coding are their closest counterpart when it comes to experimental work.…”

Section: A Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Asymptotic Analysis of SU-MIMO Channels With Transmitter Noise and Mismatched Joint Decoding

Vehkaperä

Riihonen

Girnyk

et al. 2015

IEEE Trans. Commun.

View full text Add to dashboard Cite

International audience—Hardware impairments in radio-frequency components of a wireless system cause unavoidable distortions to transmission that are not captured by the conventional linear channel model. In this paper, a " binoisy " single-user multiple-input multiple-output (SU-MIMO) relation is considered where the additional distortions are modeled via an additive noise term at the transmit side. Through this extended SU-MIMO channel model, the effects of transceiver hardware impairments on the achievable rate of multi-antenna point-to-point systems are studied. Channel input distributions encompassing practical discrete modulation schemes, such as, QAM and PSK, as well as Gaussian signaling are covered. In addition, the impact of mismatched detection and decoding when the receiver has insufficient information about the non-idealities is investigated. The numerical results show that for realistic system parameters, the effects of transmit-side noise and mismatched decoding become significant only at high modulation orders. Index Terms—Multiple antennas, mismatched decoding, ergodic capacity, fading channels, generalized mutual information (GMI), transceiver hardware impairments

show abstract

Section: Appendix B Replica Methodsmentioning

confidence: 99%

Section: A Related Workmentioning

confidence: 99%

Asymptotic Analysis of SU-MIMO Channels With Transmitter Noise and Mismatched Joint Decoding

Vehkaperä

Riihonen

Girnyk

et al. 2015

IEEE Trans. Commun.

View full text Add to dashboard Cite

show abstract

“…LLS Block Diagram oscillator phase noise, RX dynamic range, I/Q imbalance, carrier leakage and carrier frequency offset. The RX EVM is modeled as zero-mean complex Gaussian random variable with variance of (σ 2 RX ) [21]. After doing channel estimation in the receiver, rank adaptation approach is used in which the effective SNR values are the input of the PHY abstraction when the rank is equal to one or two, then it is evaluated if the summation of TBSs selected for the respective SNRs is higher for a single or dual rank.…”

Section: Link Level Analysis a System Modelmentioning

confidence: 99%

Link level performance evaluation of higher order modulation in Small Cells

Elbassiouny¹,

Ibrahim

2014

2014 International Wireless Communications and Mobile Computing Conference (IWCMC)

View full text Add to dashboard Cite

In Heterogeneous networks (HetNet), low-power Small Cells (SCs) can serve a good portion of the mobile users. These users are likely to have good Signal-to-Interference-plusNoise-Ratio (SINR) values, which can be exploited to satisfy the expected demand of huge data rates. In this paper, we investigate the effect of introducing higher order modulation, mainly 256QAM, from a link-level perspective as a possible solution to this data explosion. 256 QAM in ideal channel conditions and high SINR range, achieves higher spectral efficiency compared to 64 QAM. However, due to transmitter and receiver impairments the gain of 256 QAM is questionable. we developed a physicallayer abstraction for the link-level performance of the 256QAM modulation order. Then, we evaluated the performance of 256 QAM in realistic environment including the impairments at the transmitter and receiver. These impairments can diminish the gains of 256 QAM depending on their magnitude.

show abstract

“…The use of a AWGN source is motivated in e.g. [22], and has been used also in [23]. In the receiver we use the same impairment model as in the transmitter, but without any CPE.…”

Section: Rf Impairment Modelmentioning

confidence: 99%

Interference Alignment (IA) and Coordinated Multi-Point (CoMP) Overheads and RF Impairments: Testbed Results

Zetterberg

2014

2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall)

View full text Add to dashboard Cite

Abstract-In this work we investigate the network MIMO techniques of interference alignment (IA) and joint transmission coordinated multipoint (CoMP) in an indoor very small cell environment. Our focus is on the overheads in a system with quantized channel state feedback from the receiver to the transmitter (based on the 802.11ac standard) and on the impact of non-ideal hardware. The indoor office scenario should be the most favorable case in terms of the required feedback rates due to the large coherence bandwidth and coherence time of the channel. The evaluations are done using a real-world wireless testbed with three BSs and three MSs all having two antennas. The signal to noise ratio in the measurements is very high, 35-60dB, due to the short transmission range. Under such conditions radio hardware impairments becomes a major limitation on the performance. We quantify the impact of these impairments. For a 23ms update interval the overhead is 2.5% and IA and CoMP improves the sum throughput 27% and 47% in average (over the reference schemes e.g. TDMA MIMO), under stationary conditions. When two people are walking in the measurement area the throughput improvements drops to 16% and 45%, respectively.

show abstract

Effect of transmitter and receiver impairments on the performance of MIMO in HSDPA

Cited by 27 publications

References 2 publications

Asymptotic Analysis of SU-MIMO Channels With Transmitter Noise and Mismatched Joint Decoding

Asymptotic Analysis of SU-MIMO Channels With Transmitter Noise and Mismatched Joint Decoding

Link level performance evaluation of higher order modulation in Small Cells

Interference Alignment (IA) and Coordinated Multi-Point (CoMP) Overheads and RF Impairments: Testbed Results

Contact Info

Product

Resources

About