Order recognition of continuous-phase FSK

Bari, Mohammad; Doroslovački, Miloš

doi:10.1109/acssc.2015.7421270

Cited by 6 publications

(7 citation statements)

References 14 publications

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“…We assume that SU i knows the value of γ i , at the beginning of slot t through some channel estimation phase (see [22,Section VI]). Techniques to identify the modulation type can be found in references as [23] which discusses the identification of PSK, 16-QAM and FM as well as [24] for the continuous time FSK. The channel estimation to acquire g (t) i can be done by overhearing the pilots transmitted by the primary receiver, when it is acting as a transmitter, to its intended transmitter [22, Section VI].…”

Section: A Channel and Interference Modelmentioning

confidence: 99%

“…i , at the beginning of slot t through some channel estimation phase (see [22,Section VI]). Techniques to identify the modulation type can be found in references as [23] which discusses the identification of PSK, 16-QAM and FM as well as [24] for the continuous time FSK. The channel estimation to acquire g (t)…”

Section: A Channel and Interference Modelmentioning

confidence: 99%

“…where Ψ is defined before (23). Minimizing the first term in this bound is carried out in Step 5.a of the DOAC policy.…”

Section: Theorem 2 If (13) Is Strictly Feasible and The Bs Executes T...mentioning

confidence: 99%

“…The intuition behind the DOAC policy is similar to that behind the DOIC policy with some differences stated here. When upper bounding the drift-plus-penalty term, we obtain the expression (23). Minimizing the first term in this bound is carried out in Step 5.a of the DOAC policy.…”

mentioning

confidence: 99%

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Joint Scheduling and Power Control for Delay Guarantees in Heterogeneous Cognitive Radios

Ewaisha

Tepedelelioglu

2016

IEEE Trans. Wireless Commun.

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Abstract-An uplink multi secondary user (SU) cognitive radio system having average delay constraints as well as an interference constraint to the primary user (PU) is considered. If the interference channels between the SUs and the PU are statistically heterogeneous due to the different physical locations of the different SUs, the SUs will experience different delay performances. This is because SUs located closer to the PU transmit with lower power levels. Two dynamic scheduling-andpower-allocation policies that can provide the required average delay guarantees to all SUs irrespective of their locations are proposed. The first policy solves the problem when the interference constraint is an instantaneous one, while the second is for problems with long-term average interference constraints. We show that although the average interference problem is an extension to the instantaneous interference one, the solution is totally different. The two policies, derived using the Lyapunov optimization technique, are shown to be asymptotically delay optimal while satisfying the delay and interference constraints. Our findings are supported by extensive system simulations and shown to outperform existing policies as well as shown to be robust to channel estimation errors.

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Section: A Channel and Interference Modelmentioning

confidence: 99%

Section: A Channel and Interference Modelmentioning

confidence: 99%

“…where Ψ is defined before (23). Minimizing the first term in this bound is carried out in Step 5.a of the DOAC policy.…”

Section: Theorem 2 If (13) Is Strictly Feasible and The Bs Executes T...mentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Joint Scheduling and Power Control for Delay Guarantees in Heterogeneous Cognitive Radios

Ewaisha

Tepedelelioglu

2016

IEEE Trans. Wireless Commun.

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show abstract

“…Wavelet-based feature is presented in [1] for distinguishing frequency shift keying (FSK) from PSK having rectangular shaped pulses. Approximate entropy is exploited in [2]- [4] to distinguish within the class of CPFSK having non-rectangular instantaneous frequency pulses. Neural network classifier is used in [3] and it is trained on 500 realizations.…”

Section: Introductionmentioning

confidence: 99%

Separation of signals consisting of amplitude and instantaneous frequency RRC pulses using SNR uniform training

Bari

Doroslovački

2015

2015 49th Asilomar Conference on Signals, Systems and Computers

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Abstract-This work presents sample mean and sample variance based features that distinguish continuous phase FSK from QAM and PSK modulations. Root raised cosine pulses are used for signal generation. Support vector machines are employed for signals separation. They are trained for only one value of SNR and used to classify the signals from a wide range of SNR. A priori information about carrier amplitude, carrier phase, carrier offset, roll-off factor and initial symbol phase is relaxed.Effectiveness of the method is tested by observing the joint effects of AWGN, carrier offset, lack of symbol and sampling synchronization, and fast fading.

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Recognizing FM, BPSK and 16-QAM using supervised and unsupervised learning techniques

Bari

Khawar

Doroslovački

et al. 2015

2015 49th Asilomar Conference on Signals, Systems and Computers

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Order recognition of continuous-phase FSK

Cited by 6 publications

References 14 publications

Joint Scheduling and Power Control for Delay Guarantees in Heterogeneous Cognitive Radios

Joint Scheduling and Power Control for Delay Guarantees in Heterogeneous Cognitive Radios

Separation of signals consisting of amplitude and instantaneous frequency RRC pulses using SNR uniform training

Recognizing FM, BPSK and 16-QAM using supervised and unsupervised learning techniques

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