In this part, we will consider both path loss and Rayleigh fading. Specifically, let P (in...
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In this part, we will consider both path loss and Rayleigh fading. Specifically, let P (in Watt) denote the transmit power, and Ih|² is the channel gain. This means the received power is calculated as P₁ = P x |h|2. The channel gain model is |h1|² = 0cod-a, where d is the distance, co=1/100 is the path loss at a reference distance of 1 meter, and is an Exponential random variable with unit mean. In Matlab, you can use exprnd(1). Assume the path loss exponent a is two. a) Given a transmit power of P = 1 (Watt), plot d = {10, 20, 30, 40, 50, ..., 100} versus the received power. Discuss the impact of distance on the received power. b) For each distance in {10, 20, 30, ..., 100), generate N (some large number >> 100) received powers. Assume a receiver sensitivity value of -30 dBm; P, is in Watt. For each distance, determine the percentage of received power values that are beyond the said receiver sensitivity value; equivalently, at a given distance, what is the empirical probability that the receiver power is higher than the given receiver sensitivity? Discuss whether it is easier to achieve the required sensitivity value with increasing distance. In this part, we will consider both path loss and Rayleigh fading. Specifically, let P (in Watt) denote the transmit power, and Ih|² is the channel gain. This means the received power is calculated as P₁ = P x |h|2. The channel gain model is |h1|² = 0cod-a, where d is the distance, co=1/100 is the path loss at a reference distance of 1 meter, and is an Exponential random variable with unit mean. In Matlab, you can use exprnd(1). Assume the path loss exponent a is two. a) Given a transmit power of P = 1 (Watt), plot d = {10, 20, 30, 40, 50, ..., 100} versus the received power. Discuss the impact of distance on the received power. b) For each distance in {10, 20, 30, ..., 100), generate N (some large number >> 100) received powers. Assume a receiver sensitivity value of -30 dBm; P, is in Watt. For each distance, determine the percentage of received power values that are beyond the said receiver sensitivity value; equivalently, at a given distance, what is the empirical probability that the receiver power is higher than the given receiver sensitivity? Discuss whether it is easier to achieve the required sensitivity value with increasing distance.
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a To plot the received power versus distance we can use the given channel gain model and transmit po... View the full answer
Related Book For
Horngrens Financial And Managerial Accounting The Financial Chapters
ISBN: 9780134486840
6th Edition
Authors: Tracie L. Miller Nobles, Brenda L. Mattison, Ella Mae Matsumura
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