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2011 IEEE 13th International Conference on communication technology, ICCT 2011

作者： Zhang, Xiaona Yang, Long-Xiang Ding, Meiling Wu, Zhihua Jangsu Key Lab. of Wireless Communications Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab. of Broadband Wireless Communications and Sensor Network Technology Ministry of Education Nanjing 210003 China ZTE Corporation Nanjing 210003 China

ISBN: (纸本)9781612843070

Coordinated multi-point transmission/reception (CoMP), in which base stations cooperation during the downlink, has been considered as a attractive way of achieving higher performance and mitigating interference, especially for terminals at cell edges. In this paper, distributed precoding for multicell-MISO downlink CoMP is considered. Most previous work in the area is on the assumption that base stations have knowledge of both data symbols and full channel state information (CSI), which leads to heavy exchange of channel state information and signal information over backhaul links. In this paper, several distributed precoding strategies (Distributed MRT, distributed ZF, distributed LVSINR and DVSINR) for multicell-MISO downlink CoMP are analyzed, which supposes that each base station only has local CSI and the precoders can be devised at each BS in a distributed manner, and Monte Carlo simulations demonstrate the performance of such strategies. © 2011 IEEE.

关键词： Channel state information

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Multiuser MIMO user selection schemes using block diagonalization

Multiuser MIMO user selection schemes using block diagonaliz...

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2011 International Conference on Computer, communication, Control and Automation, 3CA 2011

作者： Chunfang, Zhang Long-Xiang, Yang Meiling, Ding Zhihua, Wu Jiangsu Key Lab. of Wireless Communications Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab. of Broadband Wireless Communications and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Nanjing 210003 China ZTE Corporation China

ISBN: (纸本)9783642255403

Block diagonalization (BD) is a classical and practical interference cancelation precoding algorithm in MU-MIMO system. But once BD is used, the user number can be supported simultaneously by the base station is limited by the ratio of the numbers of transmit and receive antennas. In this paper, some existed lower complexity user selected schemes are discussed. These schemes are all based on capacity as the performance measure. However, there is an inherent drawback in these algorithms. Since the BS always selected the same users based on capacity or the correlation of the users in each time slot, it may not guarantee the quality-of-service of a single user. In order to ensure fairness in some systems, we improve the existed algorithms and propose the round-robin user selection algorithms. © 2011 Springer-Verlag.

关键词： MIMO systems

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An improved epon upstream transmission scheme with zero inter-period idle loss

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Journal of Electronics 2011年第4期28卷 664-669页

作者： Shen, Jianhua Guo, Hongmei Mi, Zhengkun Key Lab of Broadband Wireless Communication and Sensor Network Technology (NUPT) Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 China

Existing Ethernet Passive Optical network (EPON) Dynamic Bandwidth Allocation (DBA) algorithms suffer from the disadvantage of idle time loss, which lower the upstream bandwidth utilization. This letter proposes an improved upstream transmission scheme with idle-time eliminating mechanism. Theoretical analysis and numerical calculation prove that the improved scheme can effectively eliminate the idle time and enhance the efficiency of upstream link utilization. Simulation results have shown that the bandwidth utilization can be raised up to 15% in heavy-load scenarios while the time delay performance of Assured Forwarding (AF) and Best Effort (BE) services are improved simultaneously. © 2011 Science Press, Institute of Electronics, CAS and Springer-Verlag Berlin Heidelberg.

关键词： Channel transmission scheme Dynamic Bandwidth Allocation (DBA) algorithm Ethernet Passive Optical network (EPON) Idle time eliminating

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An energy optimization scheme based on rate guarantee in emergency mesh network

An energy optimization scheme based on rate guarantee in eme...

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2011 International Conference on wireless communications and Signal Processing, WCSP 2011

作者： Zhao, Su Liang, Changqing Meng, Qingmin College of Telecommunication and Information Engineering Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing 210003 China National Mobile Communications Research Lab. Southeast University Nanjing 210003 China

ISBN: (纸本)9781457710100

The wireless mesh network (WMN) is effective as emergency networks in disaster area which has a flexible network topology. The efficiency of the energy is particularly important in the emergency communication network. In this paper, we proposed an energy optimization scheme based on the framework of wireless mesh networks. This scheme ensures the data rate achieved under the condition of the original transmission power in the wireless mesh network, by reducing the mutual interference between nodes to make the transmission power of the nodes down, thus extends the lifespan of the emergency network effectively. A number of simulation results show that the proposed scheme can reduce the transmission power of nodes while ensuring the end-to-end data rates. © 2011 IEEE.

关键词： MESH networking

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Frame-Based Adaptive Compressed Sensing of Speech Signal

Frame-Based Adaptive Compressed Sensing of Speech Signal

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International Conference on wireless communications, networking and Mobile Computing (WiCom)

作者： Qian Xu Yunyun Ji Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications NanJing China

Compressed sensing (CS) is an emerging signal acquisition theory that directly collects signals in a compressed form if they are sparse on some certain basis. This paper focuses on the realization of CS on speech signals. Observing that different kind speech frames have different intra-frame correlations, we propose a frame-based adaptive compressed sensing framework for speech signals, which applies adaptive projection matrix. Experimental results show significant improvement of speech reconstruction quality by using such adaptive approach against using traditional non-adaptive projection matrix.

关键词： Speech Correlation Compressed sensing Speech processing Matching pursuit algorithms Sparse matrices sensors

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Decentralized Waveform Design for MIMO Cognitive Radio under Interference Temperature Constraint

Decentralized Waveform Design for MIMO Cognitive Radio under...

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International Conference on networking and Distributed Computing (ICNDC)

作者： Fei Wei Pengrui Xia Zhen Yang Feng Tian Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing Jiangsu China

This paper addresses the information rate maximization problem under interference temperature constraint for a multiple-in multiple-out cognitive radio (MIMO-CR) network in which each CR user is equipped with multiple antennas. We formulate this as a Nash equilibrium problem where each CR tries to maximize its own utility by choosing appropriate wave-form. A decentralized iterative water-filling algorithm (IWFA) with pricing is proposed to solve it, the pricing mechanism is used to satisfy the interference temperature constraint while achieving the Nash equilibrium. Simulation results show that our algorithm can satisfy the interference temperature constraint perfectly and is fast convergent, we also show that the proposed IWFA with pricing can achieve a performance improvement in terms of sum-rate over the existed IWFA with power shaping.

关键词： Interference Pricing Receivers Cognitive radio Nash equilibrium Covariance matrix MIMO

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A Satellite Routing Algorithm Based on Optimization of Both Delay and Bandwidth

A Satellite Routing Algorithm Based on Optimization of Both ...

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International Conference on wireless communications, networking and Mobile Computing (WiCom)

作者： Deng-yin Zhang Sha Liu Man-li Yin Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China

The merits of the routing algorithm will have a direct impact on the performance of a communication network. Traditional satellite routing algorithms are based on shortest path algorithm, the simply considering least delay, the least hop or the best link-bandwidth utilization. For the request of real-time in information network, a routing algorithm BDSR (bandwidth-delay satellite routing) comprehensively considering both delay and bandwidth between satellite-link is proposed in this paper. Moreover, we prove that the routing algorithm is an ideal one that is suitable for LEO satellite network on NS2 simulation platform.

关键词： Bandwidth Delay Routing Low earth orbit satellites Topology network topology

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Resource Allocation Algorithm for Uplink OFDMA-based Cognitive Radio Systems

Resource Allocation Algorithm for Uplink OFDMA-based Cogniti...

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2011 IEEE 3rd International Conference on communication Software and networks(2011第三届通信软件与网络国际会议 ICCSN2011)

作者： Yanping Wang Longxiang Yang XuLiu Jiangsu Key Lab of Wireless Communications Nanjing University of Posts and Telecommunications Key Lab of Broadband Wireless Communications and Sensor Network Technology Nanjing China

This context addresses the subcarrier and power allocation problem in the uplink of an OFDMA system under the cognitive radio environment. The objective is to maximize the sum transmission rate of secondary users, without causing adverse interference to the primary users. We formulate the optimization problem subject to the individual power constraints and the interference constraints. We also propose two suboptimal power loading algorithms that are less complex and a new subcarrier allocation algorithm. The performance of the optimal scheme is compared with the performance of the suboptimal. Simulation results show that the optimal algorithm significantly improves the sunr transmission rate, and provides good convergence.

关键词： Cognitive radio power and subcarrier allocation uplink power and interference constraints

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A DISTRIBUTED COMPRESSED SENSING APPROACH FOR SPEECH SIGNAL DENOISING

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Journal of Electronics(China) 2011年第4期28卷 509-517页

作者： Ji Yunyun Yang Zhen College of Communication and Information Engineering Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts ＆ Telecommunications Nanjing 210003 China

Compressed sensing,a new area of signal processing rising in recent years,seeks to minimize the number of samples that is necessary to be taken from a signal for precise *** precondition of compressed sensing theory is the sparsity of *** this paper,two methods to estimate the sparsity level of the signal are *** then an approach to estimate the sparsity level directly from the noisy signal is ***,a scheme based on distributed compressed sensing for speech signal denoising is described in this work which exploits multiple measurements of the noisy speech signal to construct the block-sparse data and then reconstruct the original speech signal using block-sparse model-based Compressive Sampling Matching Pursuit(CoSaMP) *** simulation results demonstrate the accuracy of the estimated sparsity level and that this de-noising system for noisy speech signals can achieve favorable performance especially when speech signals suffer severe noise.

关键词： Distributed compressed sensing Sparsity estimation Speech signal Denoising

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A Novel Adaptive Resource Allocation Algorithm for Multiuser OFDM-Based Cognitive Radio Systems

A Novel Adaptive Resource Allocation Algorithm for Multiuser...

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International Conference on network Computing and Information Security (NCIS)

作者： Zhang Jian Zhu Qi Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Jiangsu Key Laboratory of Wireless Communications Nanjing University of Posts and Telecommunications Nanjing China

Cognitive radio(CR) is a concept to improve the utilization of scarce spectrum resources in wireless communication, and orthogonal frequency division multiplexing (OFDM) is regarded as the best technology to match with the CR systems. In this paper, a new adaptive resource allocation algorithm for OFDM CR systems is presented. This algorithm solves the optimization problem based on maximize the total transmit bit rates of secondary users, on the one hand, the total transmit power of secondary users should below the transmit power constraint, on the other hand, the interference to primary users should under the maximum interference level, then allocate sub channels by an improved Hungarian Algorithm, and load bits and power by greedy algorithm. Simulation results show that the proposed algorithm can improve the system throughput comparing with some other sub optimal algorithms.

关键词： Interference Resource management OFDM Cognitive radio Optimization Barium

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