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Constellation Design for Transmission over Nonlinear Satellite Channels [article]

Farbod Kayhan, Guido Montorsi
2012 arXiv   pre-print
The main objective is to maximize the symmetric pragmatic capacity under the peak-power constraint. The method allows the joint optimization of constellation and binary labeling.  ...  In this paper we use a variation of simulated annealing algorithm for optimizing two-dimensional constellations with 32 signals.  ...  This work was performed under the ESA/ESTEC contract n. 4000102300, "Enhanced Digital Modem Techniques Development and Validation".  ... 
arXiv:1210.1762v1 fatcat:dzxyy47k25adhlrxcnkgm77boa

Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains [article]

Yuanyuan Shi and Bolun Xu and Di Wang and Baosen Zhang
2017 arXiv   pre-print
We consider using a battery storage system simultaneously for peak shaving and frequency regulation through a joint optimization framework which captures battery degradation, operational constraints and  ...  Furthermore, we demonstrate that the saving from joint optimization is often larger than the sum of the optimal savings when the battery is used for the two individual applications.  ...  Labels: In subfigures (a), (b), (c), the upper plot is power consumption; the lower plot is battery SoC curve.  ... 
arXiv:1702.08065v3 fatcat:o4qj2nlrxrgplavqyanbvdbu2y

Secrecy Rate Optimization for ISAC-UAV System via Joint Trajectory and Power Control

Xiao Tong, Xin Li, Wei Wang, FuWang Dong
2022 IEICE Communications Express  
To ensure the security of the ISAC-UAV system, we formulate a joint UAV trajectory and transmit power optimization problem to maximize the secrecy rate under the constraints of mobility restrictions, power  ...  Then, the non-convex sub-problems are transformed to convex by the appropriate constraints relaxation and fractional programming method.  ...  Specifically, we maximize the average secrecy rate by jointly optimizing the UAV trajectory and transmit power under the mobility constraints, power budgets and sensing requirement.  ... 
doi:10.1587/comex.2022xbl0038 fatcat:ixv6mnxm75cvfkq5sasmn77c5m

Advances in single carrier block modulation with frequency domain processing

Yeheskel Bar-Ness, Fumiyuki Adachi, Naofal Al Dhahir, David D Falconer, Hikmet Sari
2012 EURASIP Journal on Advances in Signal Processing  
power availability.  ...  The main reason for adapting the technology of SC-FDMA for uplink LTE is the fact that OFDMA has high "peak-to-average power ratio" (PAPR), which is a disadvantage for mobile devices that are limited by  ...  Also with a given constraint which effectively limits the transmit power of the training signals, the paper investigates the optimal design of training signals under different a priori knowledge of the  ... 
doi:10.1186/1687-6180-2012-85 fatcat:bwxyubtlsfg5vkcdumi74iyhs4

Constellation Design for a Multicarrier Optical Wireless Communication Channel

Qian Gao, Jonathan H. Manton, Gang Chen, Yingbo Hua
2014 IEEE Transactions on Communications  
The short-term peak to average power ratio (PAPR) and long-term PAPR constraints are combined with the MSM-JDCM to mitigate the nonlinear distortion caused by high power amplifier and laser diode, which  ...  The short-term peak to average power ratio (PAPR) and long-term PAPR constraints are combined with the MSM-JDCM to mitigate the nonlinear distortion caused by high power amplifier and laser diode, which  ...  The optical peak power Ψ po (c) and electrical peak Ψ pe (c) power has a relationship of (20) such that optimizing one automatically guarantees the optimality of the other.  ... 
doi:10.1109/tcomm.2013.112213.130166 fatcat:x6uszoxarjaxtnuznkvjzfb26u

Coded multipulse pulse-position modulation for free-space optical communications

Trung Nguyen, Lutz Lampe
2010 IEEE Transactions on Communications  
simultaneous peak-power, average-power, and bandwidth constraints.  ...  same transmission constraints.  ...  constraints, such as peak-or average-power or bandwidth constraints [2] .  ... 
doi:10.1109/tcomm.2010.04.090007 fatcat:tdrgie6d45bgnp3vryhckrp2cy

Constellation Design for Channels Affected by Phase Noise [article]

Farbod Kayhan, Guido Montorsi
2012 arXiv   pre-print
The main objective is to maximize the achievable mutual information of the constellation under a given power constraint.  ...  Then a simulated annealing algorithm is used to jointly optimize the constellation and the binary labeling.  ...  Recently ( [5] , [4] ) we have proposed a joint signal-labeling optimization scheme for designing constellations which maximize the (pragmatic) achievable mutual information under the peak power constraint  ... 
arXiv:1210.1752v1 fatcat:hmk3pezpyzf5ngucxrewkxwltq

Power Allocation for Fading Channels with Peak-to-Average Power Constraints [article]

Khoa D. Nguyen, Albert Guillen i Fabregas, Lars K. Rasmussen
2008 arXiv   pre-print
that the signal-to-noise ratio exponent for any finite peak-to-average power ratio is the same as that of the peak-power limited problem, resulting in an error floor.  ...  power ratio constraints, even for small ratios, are very close to capacities without peak-power restrictions.  ...  where the sets X j c contain all signal points where the j th position in the corresponding binary signal-point labelling is c.  ... 
arXiv:0802.3611v1 fatcat:lcaywmqqizfqtko2vuyj3jli5u

Waveform Learning for Next-Generation Wireless Communication Systems [article]

Fayçal Ait Aoudia, Jakob Hoydis
2022 arXiv   pre-print
The method maximizes an achievable information rate, while simultaneously satisfying constraints on the adjacent channel leakage ratio (ACLR) and peak-to-average power ratio (PAPR).  ...  This allows control of the tradeoff between spectral containment, peak power, and communication rate.  ...  This leads to the joint optimization of the bit labeling and constellation geometry.  ... 
arXiv:2109.00998v3 fatcat:futhgytvy5g6tciigmr5l5d374

Clustering and Power Allocation for UAV-assisted NOMA-VLC Systems: A Swarm Intelligence Approach [article]

Quoc-Viet Pham, Nhu-Ngoc Dao, Thien Huynh-The, Jun Zhao, Won-Joo Hwang
2020 arXiv   pre-print
We first consider an efficient user clustering strategy, then apply a swarm intelligence approach, namely Harris Hawk Optimization (HHO), to solve the joint UAV placement and power allocation problem.  ...  In this paper, we aim to maximize the weighted sum-rate of all the users by jointly optimizing UAV placement, user grouping, and power allocation in downlink NOMA-VLC systems.  ...  In Section II, an optimization problem is formulated to maximize the weighted sum-rate of all the users subject to constraints on QoS requirements of users, non-negativity of the transmitted signal, peak  ... 
arXiv:2007.15430v1 fatcat:c7nhy57hebbkfiv5nevvzkrgfq

Transmit Power Minimization in Small Cell Networks Under Time Average QoS Constraints

Subhash Lakshminarayana, Mohamad Assaad, Merouane Debbah
2015 IEEE Journal on Selected Areas in Communications  
Second, we impose channel state information (CSI) feedback constraints, and formulate a joint CSI feedback and beamforming strategy.  ...  Under this set up, we address the following question: given certain time average quality of service (QoS) targets for the UTs, what is the minimum transmit power expenditure with which they can be met?  ...  We model the time average QoS constraints as virtual queues, and transform the problem into a transmit power minimization problem under the queue stability constraint.  ... 
doi:10.1109/jsac.2015.2435312 fatcat:o72segcdbndy3hsca3pcwtgf2e

Optimization of Unicast Services Transmission for Broadcast Channels in Practical Situations

Zeina Mheich, Marie-Line Alberi Morel, Pierre Duhamel
2012 Bell Labs technical journal  
rates are maximized over the probability distribution of channel input signals and the constellation shape. © 2012 Alcatel-Lucent. spectrum resources.  ...  Optimal radio resource sharing techniques are highly desirable for mobile operators in order to enable all these devices to be connected over wireless networks, with a pre-defined guaranteed quality of  ...  The 4 - 4 PAM transmission is performed under the following constraints: • The sum of the joint probabilities p ij should be equal to 1, • The transmitted signal should have zero mean: E[x] 5 0, • The  ... 
doi:10.1002/bltj.21521 fatcat:j4bjzqyvvnatfcyam44yy6sef4

Detection of American Football Head Impacts Using Biomechanical Features and Support Vector Machine Classification

Lyndia C. Wu, Calvin Kuo, Jesus Loza, Mehmet Kurt, Kaveh Laksari, Livia Z. Yanez, Daniel Senif, Scott C. Anderson, Logan E. Miller, Jillian E. Urban, Joel D. Stitzel, David B. Camarillo
2017 Scientific Reports  
We found that low frequency power spectral density and wavelet transform features (10~30 Hz) were the best performing features.  ...  The classifier was trained and validated using instrumented mouthguard data from collegiate football games and practices, with ground truth data labels established from video review.  ...  Both the classifier optimized for AUC (blue) and that optimized for the F-measure (yellow) had areas under the ROC and PR curves over 0.9 (AUC ROC = 0.96 for AUC optimization, AUC PR = 0.95 for AUC optimization  ... 
doi:10.1038/s41598-017-17864-3 pmid:29321637 pmcid:PMC5762632 fatcat:zxezpkhl5rb33eps6cd3dpnzoe

Joint detection and decoding of LDPC coded distributed space-time signaling in wireless relay networks via linear programming

Kun Wang, Wenhao Wu, Zhi Ding
2014 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
We develop a linear programming based approach for the joint detection and decoding of LDPC coded distributed space-time signaling transmitted in a wireless relay network.  ...  We exploit the constraints imposed on the channel input signals and jointly consider the training symbols as well as the LDPC code information by formulating a unified linear programming (LP) receiver.  ...  For comparison, we test the LP receiver without LDPC constraints (14) (15) (16) and label this receiver as disjoint LP (DLP).  ... 
doi:10.1109/icassp.2014.6853930 dblp:conf/icassp/WangWD14 fatcat:ouvkc4avorekpczylkre43d4ei

On the Opportunities and Challenges of NOMA-based Fog Radio Access Networks: An Overview

Megumi Kaneko, Itsikiantsoa Randrianantenaina, Hayssam Dahrouj, Hesham ElSawy, Mohamed-Slim Alouini
2020 IEEE Access  
In theory, CRAN would be able to globally optimize the RRA and IM problems, as it allows for joint signal processing at the cloud level.  ...  Note that, mathematically, this second constraint imposes a zero-norm constraint on the user and power allocation vector variables, which is one of the main technical distinctive features of FRAN optimization  ... 
doi:10.1109/access.2020.3037183 fatcat:tg4hap46dfb55h2bx2h4k4e4i4
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