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检索条件"任意字段=3rd International Symposium on Code Generation and Optimization"

共 319 条记录，以下是101-110 订阅

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Non-Binary LDPC codes for Orthogonal Modulations: Analysis and code Design

Non-Binary LDPC Codes for Orthogonal Modulations: Analysis a...

引用

IEEE international Conference on Communications (ICC) / Wireless Communications symposium / 3rd Workshop on Optical Wireless Communications (OWC)

作者： Liva, Gianluigi Matuz, Balazs Paolini, Enrico Flanagan, Mark F. German Aerosp Ctr DER Inst Commun & Nav Wessling Germany Univ Bologna DEI CNIT Cosena FC Italy Univ Coll Dublin Sch Elect Elect & Commun Engn Belfield Ireland

ISBN: (纸本)9781467389990

In this paper, we present a low-density parity-check coded modulation approach addressing orthogonal modulations with moderate order (between 8 and 32) over the additive white Gaussian noise channel. The proposed design is based on a constrained optimization of a non-binary low-density parity-check ensemble degree distribution, where the iterative decoding threshold is optimized via extrinsic information transfer analysis while restricting the search to degree distributions that target low error floors. For various orthogonal modulation orders, we provide useful approximations to the extrinsic information transfer functions, which enable a fast optimization with respect to the iterative decoding threshold. The approach is validated via codeword error rate Monte Carlo simulations and complemented by an error floor analysis, showing gains up to 0.8 dB at a codeword error rate of 10(-4) with respect to existing designs, down to information block lengths as short as 192 bits.

关键词： Modulation Encoding optimization Iterative decoding Decoding Mutual information

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Fair Beamwidth Selection and Resource Allocation for Indoor Millimeter-Wave Networks

Fair Beamwidth Selection and Resource Allocation for Indoor ...

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IEEE international Conference on Communications (ICC) / Wireless Communications symposium / 3rd Workshop on Optical Wireless Communications (OWC)

作者： Eshraghi, Nima Shah-Mansouri, Vahid Maham, Behrouz Univ Tehran Sch ECE Coll Engn Tehran Iran Nazarbayev Univ Sch Engn Astana Kazakhstan

ISBN: (纸本)9781467389990

Millimeter-wave (mm-wave) communication is a promising technology for supporting extremely high data rates in the next generation wireless networks. Mm-wave signals experience high path loss and directional transmission is required to compensate the severe channel attenuation. The special characteristics of the mm-wave propagation arise opportunities as well as challenges for the network resource allocation problems. In this paper, a fair user association, beamwidth selection and power allocation problem for indoor mm-wave networks is studied. The objective of the optimization problem is to maximize the minimum user throughput to provide a fair resource distribution among the users. In our model, we take into account the unique mm-wave communications features, namely beam alignment procedure and directional transmission. Simulation results confirm the superior performance of the proposed solution compared to the existing approaches.

关键词： Resource management Throughput Wireless communication Antennas optimization Data communication Mobile communication

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Analysis of potential code vulnerabilities involving overlapping instructions

Analysis of potential code vulnerabilities involving overlap...

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international Conference on Computer Safety, Reliability, and Security, SAFECOMP 2017 and 5th international Workshop on Assurance Cases for Software-Intensive Systems, ASSURE 2017, 12th Workshop on Dependable Embedded and Cyber-physical Systems and Systems-of Systems, DECSoS 2017, 6th international Workshop on Next generation of System Assurance Approaches for Safety Critical Systems, SASSUR 2017, 3rd international Workshop on Technical and Legal Aspects of Data Privacy and Security, TELERISE 2017 and 2nd international Workshop on the Timing Performance in Safety Engineering, TIPS 2017

作者： Al Sardy, Loui Tang, Tong Spisländer, Marc Saglietti, Francesca University of Erlangen-Nuremberg Martensstr. 3 Erlangen91058 Germany

ISBN: (纸本)9783319662831

This article proposes approaches supporting the analysis of code vulnerabilities based on overlapping machine instructions of variable length. For the purpose of focusing the search for potential malicious code it is suggested to apply first disassembling techniques allowing for a restriction of potentially exploitable memory space. Successively, testing based on heuristic optimization may be applied in order to evaluate dynamically the practicality of vulnerability exploitation. © Springer international Publishing AG 2017.

关键词： codes (symbols)

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Dynamic Resource Allocation and Pricing for Shared Radio Access Infrastructure

Dynamic Resource Allocation and Pricing for Shared Radio Acc...

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IEEE international Conference on Communications (ICC) / Wireless Communications symposium / 3rd Workshop on Optical Wireless Communications (OWC)

作者： Akguel, Oezguer Umut Malanchini, Ilaria Suryaprakash, Vinay Capone, Antonio Politecn Milan Dipartimento Elettron Informaz & Bioingn Milan Italy Nokia Bell Labs Stuttgart Germany

ISBN: (纸本)9781467389990

Flexible resource sharing at short time scales in multi-tenant shared radio access networks has proven to be quite a challenge. In this study, we develop a techno-economic model that enables dynamic short-term resource sharing as well as resource pricing, while simultaneously collecting revenue for network expansion. In order to regulate the resource costs and to prevent monopolization of resources, we define a unit cost of resources which can be scaled dynamically. The proposed framework allows operators to meet their individual utility targets while optimizing their expenditures based on their respective budgets. This work demonstrates that dynamic short timescale resource sharing can help network operators achieve their utility targets while minimizing their total expenditure.

关键词： Resource management Dynamic scheduling Economics Pricing Radio access networks optimization Next generation networking

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Energy Efficient Mobile Edge Computing in Dense Cellular Networks

Energy Efficient Mobile Edge Computing in Dense Cellular Net...

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IEEE international Conference on Communications (ICC) / Wireless Communications symposium / 3rd Workshop on Optical Wireless Communications (OWC)

作者： Chen, Lixing Zhou, Sheng Xu, Jie Univ Miami Dept Elect & Comp Engn Coral Gables FL 33124 USA Tsinghua Univ Dept Elect Engn Beijing Peoples R China

ISBN: (纸本)9781467389990

Merging Mobile Edge Computing (MEC), which is an emerging paradigm to meet the increasing computation demands from mobile devices, with the dense deployment of Base Stations (BSs), is foreseen as a key step towards the next generation mobile networks. However, new challenges arise for designing energy efficient networks since radio access resources and computing resources of BSs have to be jointly managed, and yet they are complexly coupled with traffic in both spatial and temporal domains. In this paper, we address the challenge of incorporating MEC into dense cellular networks, and propose an efficient online algorithm, called ENGINE (ENerGy constrained offloadINg and slEeping) which makes joint computation offloading and BS sleeping decisions in order to maximize the quality of service while keeping the energy consumption low. Our algorithm leverages Lyapunov optimization technique, works online and achieves a close-to-optimal performance without using future information. Our simulation results show that our algorithm can effectively reduce energy consumption while guaranteeing quality of service for users.

关键词： Delays Cellular networks Servers Energy consumption Computational modeling optimization

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On the Relation Between the Asymptotic Performance of Different Algorithms for Information Bottleneck Framework

On the Relation Between the Asymptotic Performance of Differ...

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IEEE international Conference on Communications (ICC) / Wireless Communications symposium / 3rd Workshop on Optical Wireless Communications (OWC)

作者： Hassanpour, Shayan Wuebben, Dirk Dekorsy, Armin Kurkoski, Brian M. Univ Bremen Dept Commun Engn D-28359 Bremen Germany Japan Adv Inst Sci & Technol Sch Informat Sci Nomi Ishikawa 9231292 Japan

ISBN: (纸本)9781467389990

The general problem of quantizing observation signals appears in different aspects of data processing, from special code designs to realization of low-complexity receivers. To this end, a new framework, known as the Information Bottleneck method, has recently attracted a great deal of attention. In this paper, after introducing this framework and providing the Iterative Information Bottleneck algorithm as the primary pertinent solution, we also discuss three other heuristics aiming to solve the similar problem efficiently. Since the resultant solution of considered approaches is locally optimum, it strongly depends on the choice of initialization. The main contribution of this work is to prove the equivalence of these algorithms asymptotically, i.e., assuming an infinite run of algorithms for the extreme case of infinitely large trade-off parameter. We also substantiate this claim by means of computer-based simulations.

关键词： Distortion measurement optimization Convex functions Linear programming Algorithm design and analysis Noise measurement Mutual information

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Load Analysis and Sleep Mode optimization for Energy-Efficient 5G Small Cell Networks

Load Analysis and Sleep Mode Optimization for Energy-Efficie...

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IEEE international Conference on Communications (ICC) / Wireless Communications symposium / 3rd Workshop on Optical Wireless Communications (OWC)

作者： Celebi, Haluk Guvenc, Ismail Columbia Univ Dept Elect & Comp Engn New York NY 10027 USA North Carolina State Univ Dept Elect & Comp Engn Raleigh NC USA

ISBN: (纸本)9781509015252

Dense deployment of small cells is seen as one of the major approaches for addressing the traffic demands in next-generation wireless networks. However, dense deployment of large number of small cells necessitates effective techniques for placing under-loaded small cells into sleep mode, so as to save energy. Such techniques should be low complexity and should not also compromise quality of service of users such as short access delay, while they can also result in significant energy savings for delay-tolerant network traffic. In this study, we introduce energy efficient, low-complexity techniques for load-based sleep mode optimization in densely deployed 5G small cell networks. We define a new analytic model to characterize the distribution of the traffic load of a small cell using a Gamma distribution, find its distribution parameters, and verify the validity of the model using computer simulations. We also compare the throughput of various sleep mode techniques as a function of different delay tolerance levels, where our simulation results show that the proposed technique achieves the highest throughput.

关键词： 5G delay tolerant network (DTN) energy-efficiency heterogeneous network sleep mode small cell network

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Leaky Bucket-Inspired Power Output Smoothing with Load-Adaptive Algorithm

Leaky Bucket-Inspired Power Output Smoothing with Load-Adapt...

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IEEE international Conference on Communications (ICC) / Wireless Communications symposium / 3rd Workshop on Optical Wireless Communications (OWC)

作者： Chen, Xiangyu Leung, Ka-Cheong Lam, Albert Y. S. Univ Hong Kong Dept Elect & Elect Engn Pokfulam Rd Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781467389990

The renewables will constitute an important part of the future smart grid. As a result, the growing portion of renewable generation in the power grid will bring challenges to the operations of the power grid because of the fluctuation and intermittency properties of renewables. In order to make the operations of power grid stable and reliable, the power outputs from renewable energy sources must be smoothed. In this paper, we propose a scheme inspired from the idea of the leaky bucket mechanism for smoothing the power output from a renewable energy system. In our proposed method, the settings of energy storage size and power output level have significant effects on the system performance and thus needs to be determined. An optimization framework is thus proposed for storage and power output planning of the renewable energy system. To operate our proposed scheme practically, a load-adaptive power smoothing algorithm is devised aiming to match the power output level with the actual load in the grid. Our simulation studies show that the proposed algorithm can reduce the operation cost comparing to other algorithms and maintain high renewable energy utilization.

关键词： Renewable energy sources Energy storage Power smoothing Partial discharges State of charge Power grids

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Joint optimization of Path Selection and Link Scheduling for Millimeter Wave Transport Networks

Joint Optimization of Path Selection and Link Scheduling for...

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IEEE international Conference on Communications (ICC) / Wireless Communications symposium / 3rd Workshop on Optical Wireless Communications (OWC)

作者： Huerfano, Diego Demirkol, Ilker Legg, Peter Univ Politecn Cataluna Dept Network Engn Barcelona Spain Blu Wireless Technol Bristol Avon England

ISBN: (纸本)9781509015252

In future mobile networks, the wireless transport networks are expected to carry traffic flows with different throughput and delay requirements due to the introduction of Cloud-RAN (C-RAN) and different functional splits that can be used, e.g., as defined by Next generation Fronthaul Interface (NGFI). A promising wireless technology to support the high throughput requirements of C-RAN splits is Millimeter Wave (mmWave) band technologies standardized by IEEE 802.11ad amendment. Our target here is to derive the mathematical formulation of the path selection and link scheduling problem for mmWave transport networks, where the backhaul and fronthaul flows will co-exist, by defining the constraints brought by different functional splits and the IEEE 802.11ad standard. We present two objective functions that can be used for this problem: load balancing and minimization of the use of air time. We implemented the derived formulations in an Mixed-Integer Linear Programming (MILP) solver and evaluated realistic scenarios of wireless fronthaul/backhaul networks assessing the splits defined by NGFI for LTE.

关键词： C-RAN Transport network Millimeter Wave transport LTE Fronthaul

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Energy-Efficient Resource Scheduling for NOMA Systems With Imperfect Channel State Information

Energy-Efficient Resource Scheduling for NOMA Systems With I...

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IEEE international Conference on Communications (ICC) / Wireless Communications symposium / 3rd Workshop on Optical Wireless Communications (OWC)

作者： Fang, Fang Zhang, Haijun Cheng, Julian Leung, Victor C. M. Univ British Columbia Sch Engn Kelowna BC Canada Univ Sci & Technol Beijing Beijing Engn & Technol Res Ctr Convergence Networ Beijing Peoples R China Univ British Columbia Dept Elect & Comp Engn Vancouver BC Canada

ISBN: (纸本)9781467389990

Non-orthogonal multiple access (NOMA) is considered as a promising technology for the fifth generation mobile communications. Energy-efficient resource allocation scheme is studied for a downlink NOMA wireless network, where multiple users can be multiplexed on the same subchannel by applying successive interference cancellation technique at the receivers. Most previous works focus on resource allocation for sum rate maximization with perfect channel state information (CSI) in NOMA systems. We formulate the energy-efficient resource allocation as a probabilistic mixed non-convex optimization problem by considering imperfect CSI. To solve this problem, we decouple it into user scheduling and power allocation sub-problems. We propose a low-complexity suboptimal user scheduling algorithm and a power allocation scheme to maximize the system energy efficiency under the maximum transmitted power limit, imperfect CSI and the outage probability constraints. Simulation results are provided to show that the proposed algorithms yield much improved energy efficiency performance over the conventional orthogonal frequency division multiple access scheme.

关键词： Resource management NOMA Mobile communication optimization Scheduling algorithms Complexity theory Manganese

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