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a single carrier. One of the techniques that has gained significant ground combating the effects of multipath is Orthagonal Frequency Division Multiplexing (OFDM). In this technique, the physical channel is split into large numbers of subchannels and the data transmission is multiplexed among the multiple channels. With each channel transmitting data at a much slower rate, the ISI due to multipath is minimized, allowing for recovery of transmitted data. Multiple Access One of the key differences between OFDM and OFDMA is the multiple access methods used by the two schemes. In the case of OFDM, all the subcarriers are addressed to a single receiver at any given time and multiple access is provided by means of TDMA. However, in the case of OFDMA, a subset of subcarrier can be addressed to any one of the SSs at any given time. In OFDMA, multiple access is provided by a combination of time and subcarriers. This combination raises the complexity of OFDMA significantly. As in the case of OFDMA, OFDM also uses a group of subcarriers (known as a subchannel) to address a specific receiver, a technique referred to as subchannelization. However, a key difference is that, in the case of OFDM, each subchannel can be thought of as a separate independent channel, and the mapping of data to the channel is solely based on TDMA, very similar to the TDMA scheme in the case of SC-PHY discussed in the previous section. The channel is divided into frames, which is divided further into DL subframes and UL subframes. The DL frame is further divided into smaller slots, each with its own burst profile. The first two frames are transmitted with frame management information that includes both UL-MAP and DL-MAP. In a similar fashion as SC-PHY, the UL subframe is divided into several slots with their own burst profile, some of which are used for contention-based UL communication, while most of which are assigned to a specific SS for UL communication by UL-MAP. The multiple access method in OFDMA is significantly more complex. OFDMA supports both TDD and FDD, whereby the downlink and uplink are divided into different timeframes or frequencies, respectively. The mapping for both UL and DL happens in two steps. First, the data gets mapped to one or more timeslots on one or more logical channels. Second,, data in logical subchannels in each timeslot gets mapped to one more physical subchannel. The end result is a complex mapping of data transmission into a complex framework of timeslot and channel. Within this complexity, OFDMA also allows for various burst profiles accommodating adaptive transmission techniques. Forward Error Correction The OFDM PHY specified three different forward error correction schemes, including block turbo codes and convolution turbo codes, which provide 2 3 dB of additional gain. However, due to their implementation complexity, they have been left as an option. In addition to these three, OFDMA specifies two more optional FEC methods. Modulation Both OFDM and OFDMA PHYs support four different types of modulations: BPSK, QPSK, 16-QAM, and 64-QAM. Adaptive modulation both for uplink and downlink are supported.
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6. On the next screen, which verifies the information you ve already entered, click Next. Installation is complete.
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The data warehouse was the biggest enabler for powerful reporting and BI s initial wave of success. A data warehouse extracts information from the ERP and aggregates it to allow for fast analysis of vast amounts of data. Some initial data warehouse projects were deemed failures, costing millions of dollars and producing no measurable benefits after years of effort. Fortunately, industry consultants quickly remedied the data warehouse approach, proposing subject-oriented data marts that can be built in smaller time frames. Ideally, a central data warehouse still acts as the platform to populate the data marts. As a technology, data marts and data warehousing allow IT to safely isolate the transaction system from the reporting system. A slow query does not halt order processing. As a business application, data warehousing allows users to analyze broader sets of data with dimensional hierarchies. When analyzing data in either an ERP or a proprietary transaction system, the queries are still limited to a particular module or set of tables. I suspect that one reason that BusinessObjects is so widely deployed without a data warehouse is that it provides unique capabilities to
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Figure 10.14 ATM traffic classifications.
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The previous example explained how to connect a whole-house video system with an amplified splitter. However, it is more likely that your runs will be quite different in length. When connecting your system, expect to lose signal strength when the source is split (the more televisions it is branched off and split to, the more signal you will lose), and expect to lose signal strength as it travels across the coax cable.
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SOLUTION First note that the function is unde ned at x = 1. We calculate that h (x) = 1/((x + 1)2 ). Thus the graph is everywhere increasing (except at x = 1). We also calculate that h (x) = 2/((x + 1)3 ). Hence h > 0 and the graph is concave up when x < 1. Likewise h < 0 and the graph is concave down when x > 1. Finally, as x tends to 1 from the left we notice that h tends to + and as x tends to 1 from the right we see that h tends to . Putting all this information together, we obtain the graph shown in Fig. 3.7.
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