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Assume an ideal channel where the channel state is predictable, and assume an ideal MAC protocol that is able to schedule the packets collisions The throughput for each link is affected by the contention for the common channel by neighboring transmissions Hence, the quality of the link depends only upon the available capacity CSMA-based schedulers (like IEEE 80211) are not ideal and are therefore unable to eliminate collisions completely under realistic carrier sense levels, due to the inherent difference in the channel state observed at the sender and the receiver The limitations of CSMA-based schedulers were identi ed by Xu et al [30] Thus, under such schedulers, the percentage of packet losses are an additional factor determining the link throughput 74.

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7.8.1. Write RXML for an AACR to know the link budget equations of EHF/FSO short-range LoS radios. Augment this RXML so that the <Self/> knows which radio is integrated into its own hardware platform and which others are integrated into peers. Augment this RXML to know that FSO is limited to low data rate re ection. Add high data rate pointing and tracking modes by

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3 Impact of CSMA Scheduling on the Link Throughput To illustrate the effect of packet losses in a practical CSMA-based scheduler, Kolar and Abu-Ghazaleh [31] simulated different sets of 144 uniformly distributed nodes with 25 arbitrarily chosen one-hop connections The simulation was carried out in a QualNet simulator [32] The aim of this experiment is to show the effect of CSMAbased scheduling at different interference levels One-hop connections were chosen to eliminate multihop artifacts such as self-interference and pipelining and isolate link-level interactions Each source sends CBR data at a rate high enough to ensure that it always has packets to send Each node measures the amount of time the channel is busy (busy time) The ideal available capacity at a node can be approximated by the idle time observed at either source or destination Figure 7.

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adapting the SHF pointing and tracking exercise. Augment the RXML to predict available data rates. Write Java or C or use an inference engine to produce those inferences in Q/A interactions. 7.8.2. Write RXML to establish that the atmosphere attenuates EHF electromagnetic radiation via gaseous attenuation and absorption due to precipitation. Augment this RXML with a database model of link attenuation (e.g., digitize attenuation curves from the Web and place the RF attenuation pairs in a database). Explain how this RXML could be used to assist a nonexpert user with siting of the AACRs for a humanitarian relief operation. With Java or Voice XML to do this via a structured dialog. Augment this RXML with EHF spectrum management knowledge. Explain how to use RXML to diagnose EHF link impairments similar to the SHF use cases. 7.8.3. Write RXML for an AACR to know about microwave HDR air interfaces including FM/FDM, PPM, and PWM. Augment this RXML to include PCM and QAM (T1/E1, T3, OC-3, and OC-12). Describe applications of these air interfaces for campus data links in RXML. Use this RXML to set up such an infrastructure in a simulated <Scene/>. Describe a military use of such links for up the hill communications via RXML to show that EHF links may be used between elevated radio relay points over ranges of a few kilometers. Write Java or C so that a simulated iCR discovers the radio relay application of EHF autonomously. 7.8.4. See the companion CD-ROM for additional EHF/FSO exercises.

1a plots the busy time at the source of a link2 against the observed throughput of the link In general, as interference increases, the achievable capacity decreases However, it can be seen that at higher busy times (enlarged for clarity in Figure 71b), large variations in throughput arise for the same observed busy time The scheduling effectiveness starts to play a determining effect on the throughput of the link at high interference levels..

Communications satellites [187] operate in the three orbital regimes illustrated in Figure 7-14.

34 V Anantharaman and R Sivakumar A microscopic analysis of TCP performance analysis over wireless ad hoc networks In Proceedings of the 21st Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM 02), New York, June 2002, pp 1180 1189 35 K Sundaresan, V Anantharaman, H-Y Hsieh, and R Sivakumar ATP: A reliable transport protocol for ad-hoc networks In Proceedings of the 4th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 03), New York, Annapolis, MD, 2003, pp 64 75 36 A J Goldsmith and S B Wicker Design challenges for energy-constrained ad hoc wireless networks Wireless Communications, 9(4):8 27, 2002 37 J R Lorch and A J Smith Software strategies for portable computer energy management IEEE Personal Comunications, 5(3):60 73, 1998 38 C Jones, K Sivalingam, P Agarwal, and J C Chen.

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