Link Evaluation for MIMO-OFDM System with ML Detection

Zhang, J.; Zheng, Huiyong; Zhang, Tan; Chen, Y.; Xiong, Lei

doi:10.1109/icc.2010.5502079

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…Information rate plays an important role in performance analysis for discrete signaling constellations (m-PSK, m-QAM, etc.) [1][2][3][4]. Currently, there have been three metrics to evaluate information rate.…”

Section: Introductionmentioning

confidence: 99%

Analytical Computation of Information Rate for MIMO Channels

Zhang

Chen

2017

Journal of Computer Networks and Communications

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Information rate for discrete signaling constellations is significant. However, the computational complexity makes information rate rather difficult to analyze for arbitrary fading multiple-input multiple-output (MIMO) channels. An analytical method is proposed to compute information rate, which is characterized by considerable accuracy, reasonable complexity, and concise representation. These features will improve accuracy for performance analysis with criterion of information rate.

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Section: Introductionmentioning

confidence: 99%

Analytical Computation of Information Rate for MIMO Channels

Zhang

Chen

2017

Journal of Computer Networks and Communications

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“…However, it remains implicit. Aiming analytical solution, lower bounds and approximations for AR are proposed in [2] [6] and [7] respectively, showing validity under certain scenarios. Unfortunately, limitation remains.…”

Section: Introductionmentioning

confidence: 99%

“…For wireless MIMO channels, such assumption is rarely achieved. As to approximations in [6] [7], constellations and MIMO channels related tuning factor is indispensable to the estimating accuracy, which also introduces limitation. Moreover, gap between true AR and lower bounds/approximations is not analyzed in the mentioned work.…”

Section: Introductionmentioning

confidence: 99%

An Estimation of Achievable Rate for Digital Transmissions over MIMO Channels

Zhang

Chen²,

He³

2015

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Achievable rate (AR) is significant to communications. As to multi-input multi-output (MIMO) digital transmissions with finite alphabets inputs, which greatly improve the performance of communications, it seems rather difficult to calculate accurate AR. Here we propose an estimation of considerable accuracy and low complexity, based on Euclidean measure matrix for given channel states and constellations. The main contribution is explicit expression, non-constraints to MIMO schemes and channel states and constellations, and controllable estimating gap. Numerical results show that the proposition is able to achieve enough accurate AR computation. In addition the estimating gap given by theoretical deduction is well agreed.

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Iterative MIMO Effective SNR Mapping for ML Decoder

Medles¹,

Valadon²

2015

2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall)

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Link Evaluation for MIMO-OFDM System with ML Detection

Cited by 3 publications

References 6 publications

Analytical Computation of Information Rate for MIMO Channels

Analytical Computation of Information Rate for MIMO Channels

An Estimation of Achievable Rate for Digital Transmissions over MIMO Channels

Iterative MIMO Effective SNR Mapping for ML Decoder

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