Downloading trace study for BitTorrent P2P performance measurement and analysis

With the increasing client population and the explosive volume of Internet media content, the peer-to-peer networking technologies and systems provide a rapid and scalable content distribution mechanism in the global networks. The BitTorrent protocol and its derivatives are among the most popular peer-to-peer file sharing applications, which contribute a dominant fraction of today??s Internet traffic. In this paper, we conduct the performance measurement and analysis of BitTorrent systems with an extensive volume of real trace logs. We use several downloading-side metrics, including overall downloading time, maximum of downloading bandwidth, average bandwidth utilization, maximum of downloading connections, and average number of active connections, to derive various interesting results from the downloading-side aspect of network resource usage. Performance examination learns many new observations and characteristics into the virtue of BitTorrent protocols and systems, thereby providing beneficial information for bandwidth allocation and connection control in BitTorrent client applications. Therefore, this study is complementary to many previous research works that mainly focused on system-oriented and uploading-side performance measurements.     

Recent advances and future challenges for massive MIMO channel measurements and models大规模多输入多输出通信系统的信道测量与建模的最新进展及未来挑战

This paper considers a unicast multiuser multiple-input single-output (MISO) downlink system overheard by multiple single-antenna eavesdroppers. The objective is to jointly design the beamforming vectors and the artificial noise (AN) covariance matrix with imperfect channel state information (CSI) at the transmitter, such that the total transmit power is minimized while satisfying probabilistic quality of service (QoS) constraints at legitimate users and the eavesdroppers. Using Bernstein-type inequalities and the S-procedure, we recast the non-convex power minimization problem as two different convex semidefinite programs (SDPs) which can be solved using interior-point methods. Simulation results show that the proposed methods outperform a nonrobust method and the ones using the isotropic AN.     

Online Scheduling Sequential Objects with Periodicity for Dynamic Information Dissemination

The scalability of data broadcasting has been manifested by prior studies on the base of the traditional data management systems where data objects, mapped to a pair of state and value in the database, are independent, persistent, and static against simple queries. However, many modern information applications spread dynamic data objects and process complex queries for retrieving multiple data objects. Particularly, the information servers dynamically generate data objects that are dependent and can be associated into a complete response against complex queries. Accordingly, the study in this paper considers the problem of scheduling dynamic broadcast data objects in a clients-providers-servers system from the standpoint of data association, dependency, and dynamics. Since the data broadcast problem is NP-hard, we derive the lower and the upper bounds of the mean service access time. In light of the theoretical analyses, we further devise a deterministic algorithm with several gain measure functions for the approximation of schedule optimization. The experimental results show that the proposed algorithm is able to generate a dynamic broadcast schedule and also minimize the mean service access time to the extent of being very close to the theoretical optimum.     

Energy-Efficient Large-Scale Antenna Systems with Hybrid Digital-Analog Beamforming Structure

A large-scale antenna system(LSAS) with digital beamforming is expected to significantly increase energy efficiency(EE) and spectral efficiency(SE) in a wireless communication system. However, there are many challenging issues related to calibration, energy consumption, and cost in implementing a digital beamforming structure in an LSAS. In a practical LSAS deployment, hybrid digital-analog beamforming structures with active antennas can be used. In this paper, we investigate the optimal antenna configuration in an N × M beamforming structure, where N is the number of transceivers, M is the number of active antennas per transceiver, where analog beamforming is introduced for individual transceivers and digital beamforming is introduced across all N transceivers. We analyze the green point, which is the point of maximum EE on the EE-SE curve, and show that the log-scale EE scales linearly with SE along a slope of-lg2/N. We investigate the effect of M on EE for a given SE value in the case of fixed NM and independent N and M. In both cases, there is a unique optimal M that results in optimal EE. In the case of independent N and M, there is no optimal(N, M) combination for optimizing EE. The results of numerical simulations are provided, and these results support our analysis.     

Microcells in personal communications systems

Research projects involving fiber-connected microcell base units, measurements and models of propagation in urban microcells, and radio link performance in urban microcells are summarized. Developments in microcell system issues, such as channel assignments and handoff in microcells and architectures for combining microcells with traditional macrocells, are discussed. Research on both indoor radio propagation and wireless indoor systems is reviewed     

Diversity coding for transparent self-healing and fault-tolerantcommunication networks

A channel coding approach called diversity coding is introduced for self-healing and fault-tolerance in digital communication networks for nearly instantaneous recovery from link failures. To achieve this goal, the problem of link failures is treated as an erasure channel problem. Implementation details of this technique in existing and future communication networks are discussed     

A microcell/macrocell cellular architecture for low- andhigh-mobility wireless users

Th authors explore the use of a wireless network having a two-tier architecture to serve both conventional mobile subscribers and quasi-stationary (e.g., PCN (personal communications network)) subscribers. The latter are served by microcells which are embedded within macrocells that serve the mobile users. This provides a balance between maximizing the number of users per unit area (which favors small cells) and minimizing the network control associated with handoff (which favors large cells). Four approaches to sharing the spectrum between the two tiers, using per-cell capacity as the measure, are evaluated. The first two feature spread-spectrum sharing, i.e., they use TDMA (time-division multiple access) among microcell users and CDMA (code-division multiple access) among macrocell users (System I), or vice versa (System II). The other two approaches feature orthogonal sharing, i.e., they use TDMA in both tiers, with time slots (System III) or frequency channels (System IV) partitioned so there is no overlap between tiers. Analysis shows that the capacity tradeoffs are poor for Systems I and II because of the large amounts of cross-tier interference: and that System IV gives the best capacity tradeoffs     

Enhanced Geographic Routing with Two-Hop Neighborhood Information in Sparse MANETs

Wireless Personal Communications - The advance of wireless and mobile communications and networking technologies enables networked nodes to transmit and receive data in ad hoc manners without...     

Gold nanoparticles as assisted matrix for determining neutral small carbohydrates through laser desorption/ionization time-of-flight mass spectrometry

A method for the analysis of small neutral carbohydrates by surface-assisted laser desorption/ionization mass spectrometry (SALDI-MS) has been developed by using bare AuNPs as matrices. In comparison with citrate-capped and DDAB-capped AuNPs, bare AuNPs can capture the analytes on their surface; therefore, small neutral carbohydrates, which are difficult to ionize by matrix-assisted desorption/ionization mass spectrometry, could be cationized very efficiently by SALDI-MS with AuNPs as matrices. By using SALDI-MS in the positive ion mode, many molecular ions are obtained from monosaccharides and disaccharides. Without derivatization, the limits of detection at a S/N ratio of 3 are 82, 41, 144, and 151 nM for ribose, glucose, cellobiose, and maltose. In comparison with conventional organic matrixes (e.g., 2,5-dihydroxybenzoic acid), bare AuNPs as SALDI matrices offer many advantages, such as easy sample preparation, high ionization efficiency, and high shot-to-shot reproducibility. To validate the applicability of our method, a calibration curve is created from urine spiked with standard glucose (0.5-10 mM). We strongly believe that this approach can potentially be applied to diagnosis and glycomics.     

Performance analysis of a growable architecture for broad-bandpacket (ATM) switching

The performance of a growable architecture for broadband asynchronous transfer mode (ATM) switching consisting of a memoryless self-routing interconnect fabric and modest-size packet switch modules is examined. The cell loss probability is the focus because the architecture attains the best possible delay-throughput performance if the packet switch modules use output queuing. There are two sources of cell loss in the switch. First, cells are dropped if too many simultaneous arrivals are destined to a group of output ports. Second, because a simple, distributed path-assignment controller is used for speed and efficiency, cells are dropped when the controller cannot schedule a path through the switch. The authors compute an upper bound on arrivals, possibly including isochronous circuit connections, and show that both sources of cell loss can be made negligibly small