Download 802.11ac: A Survival Guide by Matthew S. Gast PDF

By Matthew S. Gast

The subsequent frontier for instant LANs is 802.11ac, a regular that raises throughput past one gigabit in keeping with moment. This concise advisor offers in-depth details that will help you plan for 802.11ac, with technical information on layout, community operations, deployment, and monitoring.

Author Matthew Gast—an professional who led the improvement of 802.11-2012 and protection activity teams on the wireless Alliance—explains how 802.11ac won't purely raise the rate of your community, yet its means in addition. even if you must serve extra consumers along with your present point of throughput, or serve your current shopper load with larger throughput, 802.11ac is the answer. This e-book will get you started.

- know how the 802.11ac protocol works to enhance the rate and ability of a instant LAN
- discover how beamforming raises velocity skill by way of bettering hyperlink margin, and lays the root for multi-user MIMO
- find out how multi-user MIMO raises capability by way of allowing an AP to ship information to a number of consumers simultaneously
- Plan whilst and the way to improve your community to 802.11ac through comparing patron units, purposes, and community

Show description

Read Online or Download 802.11ac: A Survival Guide PDF

Best networks books

Computer Networks, the Internet and Next Generation Networks: A Protocol-based and Architecture-based Perspective (European University Studies, Series ... / Publications Universitaires Europe)

So much computing device community books are defined in response to a top-down or button-up layer-based standpoint - permitting readers to profit approximately suggestions and protocols in a single layer as part of a fancy approach. At every one layer, the books illustrated the mechanisms and protocols supplied at this accretion to its top layer.

Optimal Load Balancing in Distributed Computer Systems

A major attention in bettering the functionality of a dispensed laptop approach is the balancing of the weight among the host pcs. Load balancing could be both static or dynamic; static balancing options are often according to information regarding the system's regular habit instead of its genuine present kingdom, whereas dynamic concepts react to the present nation while making move judgements.

Complex Networks VI: Proceedings of the 6th Workshop on Complex Networks CompleNet 2015

Elucidating the spatial and temporal dynamics of the way issues attach has turn into probably the most vital components of analysis within the twenty first century. community technological know-how now pervades approximately each technology area, leading to new discoveries in a bunch of dynamic social and usual structures, together with: how neurons attach and converse within the mind, how info percolates inside and between social networks, the evolution of technology learn via co-authorship networks, the unfold of epidemics and lots of different advanced phenomena.

The Impact of Networks on Unemployment

This e-book investigates why networks, a few with joined-up governance remits, seemed useless in dealing with neighbourhood unemployment even during periods while the nationwide unemployment degrees dropped. It deploys a multi-theoretical and methodological framework to enquire this empirical puzzle, and to check and examine the causal components influencing community results.

Additional resources for 802.11ac: A Survival Guide

Sample text

Genetic algorithm-partial least square (GA-PLS) using for feature selection has been applied on many spectral data sets, which shows better result [3]. As the random initialization of the GA, the feature selection process has to be performed many times. Moreover, the PLS is inappropriate to capture the nonlinear characteristics. The mutual information (MI) is used to quantitative measure the mutual dependence of the two variables based on the probability theory and information theory. Thus, as one of the features selection method, the MI seems to be more comprehensively studied [4].

Proceedings of the National Academy of Sciences of the United States of America 96(8), 4285 (1999) 6. : Comparative assessment of large-scale data sets of protein–protein interactions. Nature 417(6887), 399–403 (2002) 7. : Hierarchical organization of modularity in metabolic networks. Science 297(5586), 1551 (2002) 8. : The KEGG databases at GenomeNet. Nucleic Acids Research 30(1), 42 (2002) Pruning Feedforward Neural Network Search Space Using Local Lipschitz Constants Zaiyong Tang1, Kallol Bagchi2, Youqin Pan1, and Gary J.

Nucleic Acids Research 30(1), 42 (2002) Pruning Feedforward Neural Network Search Space Using Local Lipschitz Constants Zaiyong Tang1, Kallol Bagchi2, Youqin Pan1, and Gary J. Koehler3 1 Dept. Marketing & Decision Sciences, Bertolon School of Business, Salem State University, Salem, MA 01970, USA 2 Dept. of Information & Decision Sciences, University of Texas at El Paso El Paso, TX 79968, USA 3 Dept. of Decision & Information Sciences, University of Florida Gainesville, FL. 32611, USA Abstract.

Download PDF sample

Rated 4.60 of 5 – based on 47 votes