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AHet placing the device ~nprogram the programming protocol and commands may be Issued ~n externaiiycontroiiea IOU w~re medace conststlng 01a LOAD control p,n ( ~ 3 a sertai data SHIFTIN ,"put p ~ n G ~ a serial ) ( I data SHIFTOUT output p ~ n (GZ) and a CLOCK p n (GI) IS used to access the on chip memory l o ~ a t i o n ~ Communoauon between the ACEx miCiOCOntrollerand the external programmer 8 made through a 32 bvt command and response word s descnbed 8 Table 14 Be Sure to either float 01 tle G5 to Vcc n lor proper programming lunctionalihl The ~ e n adata timing lor the lour wlre lntedace 8 shown 8 F8g l s n we 31 and the programming protocol 15 shown In Figure 30

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Wireless system designers are in charge of developing suf ciently high-performance systems that achieve a certain speci ed quality of service while meeting predetermined complexity constraints. The search for the appropriate system design typically involves tradeoff studies among various modulation/coding/diversity scheme combinations. An informed decision or choice relies on a precise quantitative performance evaluation of these various combinations. The objective of this chapter is to develop analytical methods and tools to accurately assess the performance of communication systems operating over wireless fading channels when various diversity techniques are employed to combat the effects of fading. An emphasis is put on the development of generic tools to address various performance measures (average combined or output SNR, outage probability, and average error rate), several modulation/diversity scheme combinations, and a variety of fading environments. In particular, analytical methods that are not limited to speci c channel conditions are very important since the performance of diversity systems operating over such conditions is affected by various channel characteristics and parameters such as

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Source Wood and Middleton, 1975.

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The starting point for RMON is the large traffic strain a traditional MIB2/SNMP system entails. With RMON, it is the agent that independently gathers information about the unit it represents (as opposed to MIB2 which only does that on the basis of a request from NMS).This has several advantages relating to polling with MIB2: If one requires a continuous presentation of results, NMS must then request datavery often (up to several times per minute) Erom all units. This creates very much traffic. RMON gathers data continuously and can "download"when there is need for data or when the buffer is full. If there is an interruption in the connection between NMS and agents, the data for the interruption period is lost - this does not happen with MON. The term "Remote monitoring" is descriptive of the functionality. Monitoring operates from a distance, because the agents are much more intelligent in RMON than in MIB2.

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