Performance of Optimum Switching Adaptive $M$-QAM for Amplify-and-Forward Relays

Nechiporenko, T.; Kalansuriya, Prasanna; Tellambura, Chintha

doi:10.1109/tvt.2008.2010217

Cited by 67 publications

(56 citation statements)

References 31 publications

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“…fading channels and mixed fading environments (i.e., see (7)). Besides, in contrast to [8], [9], [11] and [14]; and for the completeness of the paper, we also applied our flexible framework derived in (12) and (13) to investigate the efficacy of node placement (i.e., relay position) based optimal power allocation during different transmission phases in a link-adaptive CAF relay networks (i.e., complete CSI case since the source-node also requires the knowledge of channel gains of all links) to optimize the mean spectral efficiency which can have significant impact on system performance. This shows that our developed analytical framework can also support/incorporate the analysis of relay node placement based optimal power allocation strategy without developing separate dedicated mathematical model.…”

Section: I)development Of Flexible Generalized Analytical Frameworkmentioning

confidence: 88%

“…The ABER performance of a cooperative relay network with BPSK modulation in a Nakagami-m fading channel was investigated in [7], however the authors did not consider higher constellation size or adaptive modulation schemes. The performance of a CAF relay network with constant power M-QAM adaptive rate transmission, when the ABER in Rayleigh fading is constrained to be below a specified target bit error rate (BER) is examined in [8] for optimum mode switching thresholds. In [9], the performance of discrete-rate adaptive M-QAM for a single incremental relay in a Nakagami-m environment was examined.…”

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confidence: 99%

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Performance Improvement of Non-Regerative Cooperative Relay Networks with Optimal Power Allocation and Adaptive M-QAM/M-PSK Modulation Over Generalized Fading Channels

Modi¹,

Annamalai²,

Olabiyi³

et al. 2016

IJWMN

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This paper analyzes the performance of Channel Side Information (CSI)-assisted cooperative amplify-andforward (CAF) relay networks that employ both the node placement (i.e., relay position) based optimal power allocation policy among collaborating nodes and adaptive M-ary quadrature amplitude modulation (M-QAM)/ M-ary phase shift keying (M-PSK KEYWORDSCooperative diversity, adaptive modulation, optimum power allocation, relay node placement MOTIVATIONThe increasing demand for wireless communication system in recent years has necessitated a need to improve the performance, reliability and data rate of wireless channels. To address these needs, several attempts have been made on each of these improvement areas. The broadcast nature of wireless transmissions has enabled a new communication paradigm known as "cooperative communication" where a source node communicates with a destination node with the help of one or more relay nodes to harness a new form of spatial diversity and combat the effect of multipath fading. Cooperative communication serves as an alternative to conventional space diversity technique (i.e., Multiple Input Multiple Output (MIMO) technique), as the size of communication nodes (i.e., mobile handheld devices or wireless sensors) may not accommodate multiple transmit and/or receive antennas. Cooperative diversity also referred to as a "distributed MIMO" provides additional reliability to the wireless system.

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Section: I)development Of Flexible Generalized Analytical Frameworkmentioning

confidence: 88%

mentioning

confidence: 99%

Performance Improvement of Non-Regerative Cooperative Relay Networks with Optimal Power Allocation and Adaptive M-QAM/M-PSK Modulation Over Generalized Fading Channels

Modi¹,

Annamalai²,

Olabiyi³

et al. 2016

IJWMN

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“…Rice fading) with non-identical statistics, bounds for the PDF, CDF and MGF of end-to-end SNR have been developed [8]- [12]. The statistics of end-to-end SNR bound has been used for the computation of ASER, outage capacity, outage probability and spectral efficiency in many articles [8]- [12], [29]- [34]. However, the statistics of SNR bound is channel specific and can sometimes be complicated for certain fading channels (e.g., mixed-fading, Nakagami-q, composite-fading, etc.).…”

Section: Related Workmentioning

confidence: 99%

Efficient Symbol Error Rate Analysis of Cooperative Non-Regenerative Relay Systems over Generalized Fading Channels

Olabiyi¹,

Annamalai²

2012

IJWMN

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“…For instance, the ASER of CAF multi-relay network with MPSK modulation is given by ( ) ( ) In Fig. 2, the ASER of MQAM with our proposed approximation (using (18) in conjunction with (20)) is compared to the finite-range integral expression using the HM MGF given in (7) [8, Eq. (26) …”

Section: Unified Closed-form Aser Expression For 2-hop Caf Multi-relamentioning

confidence: 99%

Untitled

2012

IJCNC

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This article develops an extremely simple and tight closed-form approximation for the moment generating function (MGF) of signal-to-noise ratio (SNR) for two-hop amplify-and-forward relayed paths over generalized fading environments. The resulting expression facilitates efficient analysis of twohop cooperative amplify-and-forward (CAF) multi-relay networks over a myriad of stochastic channel models (including mixed-fading scenarios where fading statistics of distinct links in the relayed path may be from different family of distributions). The efficacy of our proposed MGF expression for computing the average symbol error rate (ASER), outage probability, and the ergodic capacity (with limited channel side-information among cooperating nodes) is also studied. Numerical results indicate that the proposed MGF expression tightly approximates the exact MGF formulas and outperforms the existing MGF of lower and upper bounds of the half-harmonic mean (HM) SNR, while overcoming the difficulties associated in deriving an

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Performance of Optimum Switching Adaptive $M$-QAM for Amplify-and-Forward Relays

Cited by 67 publications

References 31 publications

Performance Improvement of Non-Regerative Cooperative Relay Networks with Optimal Power Allocation and Adaptive M-QAM/M-PSK Modulation Over Generalized Fading Channels

Performance Improvement of Non-Regerative Cooperative Relay Networks with Optimal Power Allocation and Adaptive M-QAM/M-PSK Modulation Over Generalized Fading Channels

Efficient Symbol Error Rate Analysis of Cooperative Non-Regenerative Relay Systems over Generalized Fading Channels

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