logistic_guy
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In this problem we will explore the impact of different log-normal shadowing parameters on outage probability. Consider a cellular system where the received signal power is distributed according to a log-normal distribution with mean μψ dBm and standard deviation σψ dBm. Assume the received signal power must be above 10 dBm for acceptable performance.
(a) What is the outage probability when the log-normal distribution has μψ=15 dBm and σψ=8 dBm?
(b) For σψ=4 dBm, find the value of μψ required for the outage probability to be less than 1% – a typical value for cellular systems.
(c) Repeat part (b) for σψ=12 dBm.
(d) One proposed technique for reducing outage probability is to use macrodiversity, where a mobile unit’s signal is received by multiple base stations and then combined. This can only be done if multiple base stations are able to receive a given mobile’s signal, which is typically the case for CDMA systems. Explain why this might reduce outage probability.
(a) What is the outage probability when the log-normal distribution has μψ=15 dBm and σψ=8 dBm?
(b) For σψ=4 dBm, find the value of μψ required for the outage probability to be less than 1% – a typical value for cellular systems.
(c) Repeat part (b) for σψ=12 dBm.
(d) One proposed technique for reducing outage probability is to use macrodiversity, where a mobile unit’s signal is received by multiple base stations and then combined. This can only be done if multiple base stations are able to receive a given mobile’s signal, which is typically the case for CDMA systems. Explain why this might reduce outage probability.