Throughput Maximization for User Cooperative Wireless Systems with Adaptive Modulation

Luo, Yuanqian; Cai, Lin

doi:10.1109/icc.2010.5501760

Cited by 15 publications

(6 citation statements)

References 13 publications

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“…Fig. 3 shows the relation between the SNR and outage probability in Rayleigh fading channel using (9). Here, as SNR increases, the outage probability decreases and reaches a minimum value with increase in SNR.…”

Section: Numerical Resultsmentioning

confidence: 94%

“…2a, as the data transmission rate increases, the outage probability also increases and is plotted using (9). As the SNR decreases, the outage probability increases and reaches a maximum probability of 1 after a certain transmission rate, which means that the channel is able to support certain data rate, above which the channel is unable to transmit any information to the receiver.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…Two distinct models of feedback suited for frequency division duplex and time division duplex systems were proposed in [8]. In [9], a simple user-cooperation strategy with adaptive M-ary quadrature amplitude modulation (M-QAM) was proposed and used an appropriate bit error rate (BER) expression of M-QAM modulation to formulate an easy-to-solve optimisation problem. The novel concepts of power-controlled feedback and training were proposed in [10], which naturally surface when imperfect channel estimation and noisy feedback are considered.…”

Section: Introductionmentioning

confidence: 99%

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Performance measures over slowly fading multiple-input multiple-output channels using quantised and erroneous feedback

Valluri

Bhaskar

2012

IET Commun.

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In this study, a conceptual transmission scheme that adjusts rate and power of codewords which are sent over a slowly fading channel, when quantised and possibly erroneous channel state information (CSI) is available at the transmitter, is designed. Here, the goal is to maximise data throughput or the expected data rate using a two-way training protocol and temporal power control at the transmitter. The common models used in analysis either assume perfect CSI at the receiver or noiseless state feedback links. However, in practical systems, neither is the channel estimate known perfectly at the receiver nor is the feedback link perfect. Analytical expressions for the relationship between the average power and data transmission rate are obtained for various scenarios. The average spectral efficiency is analysed under various fading channels to evaluate the system performance. Here, the focus is on the average channel conditions to improve the system throughput.

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Section: Numerical Resultsmentioning

confidence: 94%

Section: Numerical Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Performance measures over slowly fading multiple-input multiple-output channels using quantised and erroneous feedback

Valluri

Bhaskar

2012

IET Commun.

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“…In order to solve this optimization problem and ensure low-complexity detection at the relay, the combination of a simple exclusive-or denoise-and-forward (XOR-DNF) [2] and demodulation-and-forward (DF) [10] protocol, called a DDF protocol, is proposed. In short, each user first transmits its information symbols in one time slot choosing a modulation type, and then the relay node receives all the messages.…”

Section: Introductionmentioning

confidence: 99%

Throughput Optimization for MIMO Y Channels with Physical Network Coding and Adaptive Modulation

Teav

Zhou

Vucetic

2012

2012 IEEE 75th Vehicular Technology Conference (VTC Spring)

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The multiple-input multiple-output (MIMO) Y channel, where three users simultaneously exchange independent messages with each other via a single relay within two time slots, is considered in this paper. We first propose a cooperative network coding protocol, which is called denoise-demodulateand-forward (DDF), with the design of transmit beamforming and combining schemes to increase network throughput. More importantly, we formulate an optimization problem by using the newly derived bit error rate (BER) expression of adaptive Mary quadrature amplitude modulation (M-QAM). As the result, the modulation types for both time slots can be chosen to maximize the total throughput of the proposed system under the BER constraint. Performance evaluations show that the proposed scheme can significantly improve the total throughput by comparing to the existing MIMO Y channel and the solution of the optimization problem is validated.

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“…Due to the worse channel condition of SD, the received copy by D may contain severe errors. In the existing solutions of relay networks, D solely relies on the transmission from R to decode the message from S; in the traditional cooperative communication systems, D combines two copies of the transmissions from S and R to decode the message [22], [23]. The relay approach is simpler, but it wastes the erroneous copy from S to D entirely.…”

Section: A Motivationmentioning

confidence: 99%

Topology-Aware Modulation and Error-Correction Coding for Cooperative Networks

Yang

Cai

Luo

et al. 2012

IEEE J. Select. Areas Commun.

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Abstract-User cooperation in wireless networks is inherently a cross-layer optimization problem. We identify a new direction for cooperative communications: i.e., in addition to the pointto-point communication channel between the transmitter and the receiver, the communication configuration should take the network topology into account. In this paper, we first propose a network modulation (NM) design that can transmit bits with different SNR requirements in a single symbol transmission. We then propose an error-correction coding assisted relay (EAR) scheme that is also configured according to the network topology. We study the performance of NM and EAR in both a threenode collinear network and a two-dimensional cellular network. Extensive simulations have been conducted, which demonstrate the substantial performance gain of the proposed schemes, in terms of both a higher network throughput and a lower bitenergy consumption. Comparing between NM and EAR, NM is more beneficial for the downlink performance and EAR is more beneficial for the uplink performance. Combining NM and EAR leads to a more efficient cooperative network. It is concluded that the topology-aware physical layer design will be a promising direction with many open issues for further study.

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Throughput Maximization for User Cooperative Wireless Systems with Adaptive Modulation

Cited by 15 publications

References 13 publications

Performance measures over slowly fading multiple-input multiple-output channels using quantised and erroneous feedback

Performance measures over slowly fading multiple-input multiple-output channels using quantised and erroneous feedback

Throughput Optimization for MIMO Y Channels with Physical Network Coding and Adaptive Modulation

Topology-Aware Modulation and Error-Correction Coding for Cooperative Networks

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