A simple SNR representation method for AMC schemes of MIMO systems with ML detector

Kim, Jihoon; Lee, Kyoung-Jae; Sung, Chang Kyung; Lee, Inkyu

doi:10.1109/tcomm.2009.10.080384

Cited by 15 publications

(6 citation statements)

References 9 publications

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“…Therefore, it increases the spectral efficiency by transmitting at the desirable speed based on channel conditions. Particularly, for multi-hop relay networks, communication links can transmit at different data rates and power levels to achieve optimal spectral efficiency and minimum energy consumption [20][21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Cross layer design in multi-hop networks with adaptive modulation along with constellation rearrangement

Bahadori-Jahromi

Pourmina

2015

Wireless Netw

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Distributed nature of wireless sensor network raises a number of design challenges, especially when energy-efficiency and Quality of Service requirements are to be taken into consideration. These challenges can only be met by allowing closer cooperation and mutual adaptation between the protocol layers, referred to as a crosslayer design paradigm. In this paper, we explain the operating stages for adaptive sleep with adaptive modulation based on the MAC layer protocol. By using adaptive sleep with adaptive modulation the total time for completing one packet is adaptively reduced. Therefore, not only the transmission time is adapted by adaptive modulation, but also the sleep time is varied by adaptive sleep. A cross-layer, optimization scheme, based on adaptive sleep with adaptive modulation along with constellation rearrangement and power control, is proposed in this paper for minimizing energy cost and enhancing the network longevity. The adaptive sleep with adaptive modulation along with constellation rearrangement algorithm changes the modulation scheme dynamically by using constellation rearrangement while adjusting the node sleep periods and power levels. The paper considers several variations of these schemes and analyzes and compares their performance under various traffic intensity based on extensive computer simulations. Finally the proposed scheme is evaluated through NS2 simulations in terms of throughput.

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Section: Introductionmentioning

confidence: 99%

Cross layer design in multi-hop networks with adaptive modulation along with constellation rearrangement

Bahadori-Jahromi

Pourmina

2015

Wireless Netw

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“…Due to hardware constraints, lack of good channel estimation techniques, and systems focusing on point-to-point radio links without transmitter feedback. As technology evolved these issues became less constraining, resulting in a revived interest in adaptive transmission techniques for 3rd generation and beyond wireless systems [5,6,7,8,9,10]. A variable-rate and variable-power MQAM modulation technique which adapts to the channel variation is proposed [5].…”

Section: Introductionmentioning

confidence: 99%

“…The Shannon capacity of a fading channel with channel side information at the transmitter and receiver, and at the receiver alone is obtained [6]. A simple method to represent the SNR values for maximum likelihood (ML) detector in MIMO systems is proposed [7]. The proposed SNR representation can achieve almost the same system throughput as the optimum AMC systems in frequency selective channels with reduced complexity.…”

Section: Introductionmentioning

confidence: 99%

A Novel AMC Algorithm Based on Improved Channel Estimation for SC-FDE Systems

Tan

Chi

et al. 2012

2012 Second International Conference on Instrumentation, Measurement, Computer, Communication and Control

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A novel Adaptive Modulation and Coding (AMC) algorithm based on improved channel estimation is proposed in this paper in order to improve the spectral efficiency and ensure robust and spectrally-efficient transmission in Single Carrier Frequency Domain Equalization (SC-FDE) systems over timevarying channels. That is, the maximum throughputs of the communication systems must be achieved on the premise of maintaining acceptable performance like target Bit Error Rate (BER). Firstly, a SC-FDE adaptive transmission simulation system is established. Secondly, a novel AMC algorithm based on improved channel estimation is proposed. Then based on the above simulation system using the proposed algorithm, the modulation and coding scheme (MCS) switching table and the optimal MCSs over Rayleigh multipath channels are given. Finally, the simulation results show that: under the premise of maintaining the target BER, The simulation system performing the proposed algorithm has higher system throughput and maximizes spectral efficiency.

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“…This paper is motivated by the issue of extending the EESM method to MIMO systems in a simple manner. Recently, an SNR prediction method for horizontally encoded 1 MIMO-MLD systems was proposed in [10]. However, the prediction accuracy of the method in [10] can be degraded for vertical coding systems due to structural changes, especially in the interleaver design.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, an SNR prediction method for horizontally encoded 1 MIMO-MLD systems was proposed in [10]. However, the prediction accuracy of the method in [10] can be degraded for vertical coding systems due to structural changes, especially in the interleaver design. Accordingly, in this paper, we propose a new method to accurately compute the effective SNR (eSNR) for the vertically coded MIMO systems with ML receiver.…”

Section: Introductionmentioning

confidence: 99%

A New SNR Prediction Method for MIMO-OFDM Systems with Maximum Likelihood Detector

Kim

Moon

Sung

et al. 2011

2011 IEEE International Conference on Communications (ICC)

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In order to employ adaptive modulation and coding, it is important to determine the post-detected signal-to-noise ratio (SNR) of the system. In this paper, we propose a new method to predict the link performance for multiple-input multiple-output (MIMO) systems with maximum likelihood detector (MLD) which adopt a single channel encoder. By using the relation between the upper and the lower bound systems of the MIMO system with MLD and defining the dynamic SNR penalty, we show that it is possible to represent the link performance of MIMO systems with MLD as a single scalar value with high accuracy. By adopting the proposed method to adaptive modulation and coding systems, we confirm the efficiency of the proposed method for frequency selective channels through simulations.

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A simple SNR representation method for AMC schemes of MIMO systems with ML detector

Cited by 15 publications

References 9 publications

Cross layer design in multi-hop networks with adaptive modulation along with constellation rearrangement

Cross layer design in multi-hop networks with adaptive modulation along with constellation rearrangement

A Novel AMC Algorithm Based on Improved Channel Estimation for SC-FDE Systems

A New SNR Prediction Method for MIMO-OFDM Systems with Maximum Likelihood Detector

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