2010 IEEE 71st Vehicular Technology Conference 2010
DOI: 10.1109/vetecs.2010.5494242
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Energy Optimization for Reliable Point-to-Point Communication in Energy-Constrained Networks

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Cited by 11 publications
(7 citation statements)
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“…This work extends our previous work [4,5], through the investigation of a more practical scenario: pulse shaping filters for MQAM and MPSK, various power consumptions of RF circuits, and the data rate requirement as well as bandwidth limitations of IEEE 802.15.4 standard are considered. The objective is to derive the optimum parameters for reaching energy minimization and to compare the overall performances of MQAM, MPSK, and noncoherent MFSK modulation schemes.…”
Section: Introductionmentioning
confidence: 59%
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“…This work extends our previous work [4,5], through the investigation of a more practical scenario: pulse shaping filters for MQAM and MPSK, various power consumptions of RF circuits, and the data rate requirement as well as bandwidth limitations of IEEE 802.15.4 standard are considered. The objective is to derive the optimum parameters for reaching energy minimization and to compare the overall performances of MQAM, MPSK, and noncoherent MFSK modulation schemes.…”
Section: Introductionmentioning
confidence: 59%
“…In our previous work [4,5], based on the relations between capacity (and cutoff rate) and SNR of MQAM, MPSK, and noncoherent MFSK, the optimum transmission scheme (constellation size and information rate) that results in minimum energy was derived for distances up to one hundred meters between WSN nodes. In [5], a comparison among the three cited modulation schemes was performed.…”
Section: Introductionmentioning
confidence: 99%
“…This paper extends the work of [4] by considering more practical scenario; we consider three different modulation types frequently employed in wireless communications; MQAM, MPSK, and MFSK, and derive an energy minimization scheme for point-to-point wireless communications. Among these three modulation types, MFSK has been a preferable choice for WSNs due to its constant peak-to-average power ratio of the transmit signal and low complexity that allows the use of noncoherent detection at the receiver.…”
Section: Introductionmentioning
confidence: 85%
“…Minimization of energy for MQAM was previously studied in [4]. The function to be minimized was given in (12).…”
Section: A Mqammentioning
confidence: 99%
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