2010 International Conference on Wireless Communications & Signal Processing (WCSP)最新文献_第3页

A new spectrum allocation algorithm for IMT-Advanced system over rayleigh-fading channels 一种新的瑞利衰落信道IMT-Advanced系统频谱分配算法

2010 International Conference on Wireless Communications & Signal Processing (WCSP) Pub Date : 2010-11-11 DOI: 10.1109/WCSP.2010.5633496

Xiuning Zhang, Z. Tan

{"title":"A new spectrum allocation algorithm for IMT-Advanced system over rayleigh-fading channels","authors":"Xiuning Zhang, Z. Tan","doi":"10.1109/WCSP.2010.5633496","DOIUrl":"https://doi.org/10.1109/WCSP.2010.5633496","url":null,"abstract":"Due to spectrum scarcity and emerging various wireless applications in IMT-Advanced system, spectrum allocation scheme becomes a recently critical issue. In this paper, we refer to the concepts of spectrum reservation and power reward, make use of maximum-minimum criteria, propose a cellbased distributed dynamic spectrum allocation (DSA) algorithm which combines the water filling power allocation algorithm with the DSA algorithm. In this paper, the joint algorithm is used to tackle the cellular network topology for the dynamic spectrum allocation scheme in IMT-Advanced system. It aims to efficiently satisfy users' diverse quality-of-service (QoS) requirements of multimedia traffic. Our proposed algorithm is an adaptive algorithm providing good performance and adaptability in both spectrum varying environment and multiservice environment in IMT-Advanced system. Compared with conventional algorithm, this novel algorithm considers system stability, fairness among users and improves the spectrum efficiency. The simulation results show that our algorithm has higher system stability under the condition of acceptable complexity than previous methods.","PeriodicalId":448094,"journal":{"name":"2010 International Conference on Wireless Communications & Signal Processing (WCSP)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115023987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Energy efficiency metrics for green wireless communications 绿色无线通信的能源效率指标

2010 International Conference on Wireless Communications & Signal Processing (WCSP) Pub Date : 2010-11-11 DOI: 10.1109/WCSP.2010.5633634

Tao Chen, Haesik Kim, Yang Yang

{"title":"Energy efficiency metrics for green wireless communications","authors":"Tao Chen, Haesik Kim, Yang Yang","doi":"10.1109/WCSP.2010.5633634","DOIUrl":"https://doi.org/10.1109/WCSP.2010.5633634","url":null,"abstract":"Recently the concern on energy efficiency in wireless communications has been growing rapidly as energy consumption increasingly becomes a global environment problem. Lots of research and development efforts have been spent in wireless industry, aiming for energy efficient solutions which lead to green wireless communications. In this paper we provide a brief overview on those efforts, with an emphasis on introducing energy efficiency metrics. Since energy efficiency metrics are indicators of efficiency, understanding those metrics provides us a better view on how energy efficiency can be achieved in wireless systems/networks. Observing energy is a concern at every corner of a wireless system/network, we describe those metrics from at component, equipment and system/networks level, respectively. From our observation, energy efficiency metrics for components and equipments have been well established. However, studied for system/network level solutions and metrics deserve more attention. We believe new energy efficient architecture and associated metrics will be the key for the energy consumption problem in wireless industry.","PeriodicalId":448094,"journal":{"name":"2010 International Conference on Wireless Communications & Signal Processing (WCSP)","volume":"238 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116453977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 149

A discrete-time model for multichannel opportunistic spectrum access based on preempted queuing 基于抢占排队的多信道机会频谱接入离散时间模型

2010 International Conference on Wireless Communications & Signal Processing (WCSP) Pub Date : 2010-11-11 DOI: 10.1109/WCSP.2010.5629647

Yuhua Xu, Jinlong Wang, Qi-hui Wu

{"title":"A discrete-time model for multichannel opportunistic spectrum access based on preempted queuing","authors":"Yuhua Xu, Jinlong Wang, Qi-hui Wu","doi":"10.1109/WCSP.2010.5629647","DOIUrl":"https://doi.org/10.1109/WCSP.2010.5629647","url":null,"abstract":"We consider the issue of opportunistic spectrum access in temporal domain, in which secondary user seeks spectrum vacancies between bursty transmissions of the primary user to communicate. Since spectrum sensing and data transmission can not be performed simultaneously in the same channel, secondary user employs a sense-then-transmit strategy to detect the presence of the primary user before accessing the licensed channel. Consequently, secondary user transmission is periodically suspended for spectrum sensing. To capture the discontinuous transmission nature of secondary user, we introduce a discrete-time queuing subjected to bursty preemption to describe the behavior of secondary user. The bursty preemption is an abstraction of temporal channel unavailability due to the bursty appearance of the primary user. Under the discrete-time queuing framework, we analyze the performance of opportunistic spectrum access in terms of packet completion slots, secondary user throughput and packet delay. In addition, the stability of the secondary system is studied. Finally, simulation results validate our theoretical approaches and reveal that the proposed model can be widely used to optimize the performance of the opportunistic spectrum access system.","PeriodicalId":448094,"journal":{"name":"2010 International Conference on Wireless Communications & Signal Processing (WCSP)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117071083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Low-complexity turbo decoding scheme for two-way relay network 双向中继网络的低复杂度turbo译码方案

2010 International Conference on Wireless Communications & Signal Processing (WCSP) Pub Date : 2010-11-11 DOI: 10.1109/WCSP.2010.5633681

Shan Lu, Y. Li, Jun Cheng

引用次数: 4

A novel self-localization algorithm based on RSS for wireless sensor networks 一种基于RSS的无线传感器网络自定位算法

2010 International Conference on Wireless Communications & Signal Processing (WCSP) Pub Date : 2010-11-11 DOI: 10.1109/WCSP.2010.5633791

Maocong Chen, Hua Tian, Lianguo Wu

引用次数: 0

Improving probabilistic coverage and connectivity in wireless sensor networks: Cooperation and mobility 改进无线传感器网络的概率覆盖和连通性:合作和移动性

2010 International Conference on Wireless Communications & Signal Processing (WCSP) Pub Date : 2010-11-11 DOI: 10.1109/WCSP.2010.5633860

Qinghai Gao, Huilan Zou

引用次数: 17

Optimization of energy detection based cooperative spectrum sensing in cognitive radio networks 认知无线电网络中基于能量检测的协同频谱感知优化

2010 International Conference on Wireless Communications & Signal Processing (WCSP) Pub Date : 2010-11-11 DOI: 10.1109/WCSP.2010.5633442

QUAN LIU, Jun Gao, Lesheng Chen

{"title":"Optimization of energy detection based cooperative spectrum sensing in cognitive radio networks","authors":"QUAN LIU, Jun Gao, Lesheng Chen","doi":"10.1109/WCSP.2010.5633442","DOIUrl":"https://doi.org/10.1109/WCSP.2010.5633442","url":null,"abstract":"Cooperation is necessitated for tackling the challenges caused by fading/shadowing effects, noise uncertainty and sensing time constraints in spectrum sensing of cognitive radio networks. This paper studies the optimization problem of energy detection based cooperative spectrum sensing (CSS), with the main focuses on the optimality of K out of N fusion strategy and cooperative-user number. The procedures for optimizing the fusion strategy under both the Neyman-Pearson (N-P) and Bayesian criteria are given, and the numerical results demonstrate that the optimal strategy outperforms others, with the maximum collective detection probability under N-P criterion, and the minimum detection risk under Bayesian criterion. Further, the optimal number of cooperative users is investigated, as a solution to the tradeoff between the cooperative spectrum sensing performance and the total sensing overhead. It is shown that the required sensing reliability and minimization of the sensing overhead can be guaranteed simultaneously, if only the local detection threshold and the fusion strategy are properly set.","PeriodicalId":448094,"journal":{"name":"2010 International Conference on Wireless Communications & Signal Processing (WCSP)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124686893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 19

Maximum achievable rate for AF TWRC with optimal power allocation 最佳功率分配的AF TWRC最大可实现速率

2010 International Conference on Wireless Communications & Signal Processing (WCSP) Pub Date : 2010-11-11 DOI: 10.1109/WCSP.2010.5633723

Xuesong Liang, Shi Jin, Xiqi Gao, Kai‐Kit Wong

引用次数: 1

Cognitive beamforming with cooperative feedback 协同反馈的认知波束形成

2010 International Conference on Wireless Communications & Signal Processing (WCSP) Pub Date : 2010-11-11 DOI: 10.1109/WCSP.2010.5633683

Kaibin Huang, Rui Zhang

{"title":"Cognitive beamforming with cooperative feedback","authors":"Kaibin Huang, Rui Zhang","doi":"10.1109/WCSP.2010.5633683","DOIUrl":"https://doi.org/10.1109/WCSP.2010.5633683","url":null,"abstract":"In cognitive radio networks based on spectrum sharing, cognitive beamforming (CB) enables the multi-antenna secondary user (SU) transmitter to suppress the interference to the primary user (PU) receiver and yet maximize the SU link throughput. In our prior work, a design framework was proposed for realizing CB based on finite-rate cooperative feedback from the PU receiver to the SU transmitter. The above cooperative feedback design is based on the orthogonal CB (OCB) algorithm. Specifically, the beamformer at the SU transmitter attempts to null the interference to the PU receiver by restricting the beamformer to be orthogonal to the SU-to-PU channel direction fed back by the PU receiver. In this paper, a new CB algorithm, called non-orthogonal CB (NOCB), is proposed by relaxing the orthogonality constraint for OCB. The NOCB algorithm computes the SU beamformer based on the feedback from the PU receiver including the quantized channel direction information (CDI) and interference power control (IPC) signal that is designed to regulate the SU transmission power. Furthermore, feedforward of the secondary-link CDI from the SU transmitter to the PU receiver is proposed, which enables more efficient IPC feedback design for the SU receiver and thereby allows larger SU transmission power. The proposed NOCB algorithms with cooperative PU feedback and SU feedforward are shown to substantially improve the SU link performance over the existing OCB designs.","PeriodicalId":448094,"journal":{"name":"2010 International Conference on Wireless Communications & Signal Processing (WCSP)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127152132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A hybrid prior based general sparse image deconvolution algorithm 一种基于混合先验的通用稀疏图像反卷积算法

2010 International Conference on Wireless Communications & Signal Processing (WCSP) Pub Date : 2010-11-11 DOI: 10.1109/WCSP.2010.5633525

S. Xiao

{"title":"A hybrid prior based general sparse image deconvolution algorithm","authors":"S. Xiao","doi":"10.1109/WCSP.2010.5633525","DOIUrl":"https://doi.org/10.1109/WCSP.2010.5633525","url":null,"abstract":"Compared with traditional sparse representation methods, overcomplete sparse representation is more suitable for image deconvolution. However, there have been few image deconvolution algorithms using overcomplete sparse representation. Further, among existing algorithms, a specific sparse image deconvolution algorithm corresponding to a certain sparse representation method is commonly used, which usually does not suit other methods. Therefore, in this paper, we develop a general sparse image deconvolution algorithm that can incorporate various sparse representation methods into image deconvolution depending on the applications. We propose the Bayesian framework for the presented algorithm, in which the original image is firstly modeled using a hybrid model. The statistical characteristics of the model parameters are then described using Gamma distribution. Based on the prior distributions of the original image and model parameters, we use evidence analysis method to estimate the optimal original image. The experimental results demonstrate the efficiency and competitive performance of the proposed algorithm compared with state-of-the-art algorithms.","PeriodicalId":448094,"journal":{"name":"2010 International Conference on Wireless Communications & Signal Processing (WCSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129046761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0