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Deployment of wireless networks certainly can offer advantages of reduced installation and recon guration costs. Tremendous costs can be saved by eliminating requirements to secure terrestrial rights of way, dig trenches and plant poles, place conduits and hang cross-arms, splice cables, place repeaters, and so on. Wireless networks work equally well in rocky or soggy terrain where wired networks may be problematic or even impossible and in remote areas of low user density where wired networks may be impractical. Wireless networks also offer great portability, as the antennas quite easily can be disassembled and reassembled at another location. Wired networks, on the other hand, must be abandoned or removed and sold as scrap. Some wireless networks support mobile applications, with examples being cordless telephony, cellular radio, and packet data radio networks. Wireless also suffers from certain limitations, perhaps the most signi cant of which is that of spectrum availability radio spectrum is a nite resource. The laws of physics and Mother Nature state that radio operates between 30 Hz and 30 GHz (Table 2.1), with the spectrum suitable for communications applications at about 30 kHz and above. While that may seem like a lot of spectrum, there also are a lot of applications and users competing for it, and not all frequency bands are suitable for all applications. This limited radio spectrum divides into even more limited ranges of spectrum allocated in support of speci c applications (e.g., microwave and cellular radio). Within each slice of allocated spectrum there clearly exists only so much bandwidth; regardless of how cleverly the engineers and mathematicians design compression algorithms to maximize its use, there remains only so much bandwidth available. Airwave transmission systems also suffer from issues of error performance and security.

You are probably asking why the file looks like this. Although it may not seem obvious, once you have implemented your reverse map files, you will find them extremely easy to manage and maintain. The reverse map file starts with the same SOA record that is found in the forward map file. The main difference is that the only type of record found in the reverse map file is the PTR record. PTR records are pointer records that connect each IP address listed to a hostname. The sample reverse map is called 0.0.127.in-addr.arpa. This file is simply the reverse map for the localhost entry. When any machine in the foo.com domain requests the name for the address 127.0.0.1, the name server will return localhost.foo.com. The format of the address is the reverse of a normal IP address. For example, IP address 1.2.3.4 would be found in the 4.3.2.in-addr.arpa file (assuming it s a class C address) with a PTR record for the address 1. Also note that the PTR records must be fully qualified and end in a period. Following is the sample reverse name lookup file for the 224.2.130 network. Note that there are no reverse entries for CNAMEs, and that there can be only one entry for each A record. Also, the network 224.2.130 is implicit for all hosts listed. If this were a class B zone, the host portion would have been 224.2, and the host entries would all have been 130.1 through 130.5.

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Gunderson, J G, Carpenter, W, & Strauss, J S (1975) Borderline and schizophrenic patients: A comparative study American Journal of Psychiatry, 132, 1257 1264..

As an example, let us compute the performance of BPSK with Nr diversity branches with MRC. The SER of BPSK in AWGN is (see 12) SER( ) = Q( 2 ) (13.35)

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