Difference between revisions of "A4-Signal Strength and Capacity"

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[source: Wikipedia, Telektronikk 2002]
 
[source: Wikipedia, Telektronikk 2002]
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=⌘  Shannon - examples=
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<math> C = W\ \mathrm{log}_2(1+P/N) </math> [bits/s]
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Examples
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* <span style="color:#000B80"> calculate capacity for ''W''= 200 kHz, 3.8 Unik/MHz, 26 Unik/MHz, (all cases P/N = 0 dB, 10 dB, 20 dB)
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== Comments==
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[[File:F3-3.png|500px|right]]
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Figure: ''Calculation'' of Shannon capacity for GSM (GPRS, EDGE), UMTS (packet data, HSDPA) and 802.11b
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[[File:F3-4.png|450px|right]]
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Figure: Log_10 funtion and related power. The power expressed in dB is 10 times the log_10 of the normalised power.
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There are also the abbreviations
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* <math>dB_m</math> stands for power with respect to 1 mW. <span style="color:#000B80">How much is 0 dB_m and 10 dB_m?
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* <math>dB_a</math> Power of a sound (or music).
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=⌘  Cell capacity in UMTS =
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[[File:CapacityUMTS.png|450px|right]]
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UMTS has good efficiency with respect to Shannon
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=⌘  Range versus SNR =
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[[File:RangeShannon.png|400px|right]]
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<math> R_\mathrm{max}=\mathrm{log}_2(1 + SNR) </math>
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[Source:Valenzuela, BLAST project]
  
 
== Comments==
 
== Comments==
 
[[File:F3-2.png|450px|right|Shannon theorem and application to radio propagation]]
 
[[File:F3-2.png|450px|right|Shannon theorem and application to radio propagation]]

Revision as of 22:29, 20 September 2014

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Main focus in the previous lectures was on propagation effects. We will first repeat the main conclusions from last lecture on electromagnetic signals, and then introduce the capacity of a system based on Shannon's theorem.

New literature:

  • J. Noll, K. Baltzersen, A. Meiling, F. Paint , K. Passoja, B. H. Pedersen, M. Pettersen, S. Svaet, F. Aanvik, G. O. Lauritzen. '3rd generation access network considerations'. selected pages from Unik/FoU R 3/99, Jan 1999 (.pdf]])
  • H. Holma, A. Toskala (eds.), "WCDMA for UMTS", John Wiley & sons, Oct 2000, selected pages

Comments

F3-1.png

Figure: Illustrating reduction of capacity in network A (top) and blinding of phones in cell (B)

More detailed discussions on these effects can be found in the literature indicated above.


⌘ Signal/noise ratio

,

where P is average power

  • why talking about noise?
  • dB,
  • near-far problem

[source: Wikipedia]

⌘ Shannon Theorem

  • The fundamental theorem of information theory, or just Shannon's theorem, was first presented by Claude Shannon in 1948.
  • Given a noisy channel with channel capacity C and information transmitted at a rate R, then if R < C there exist codes that allow the probability of error at the receiver to be made arbitrarily small. This means that theoretically, it is possible to transmit information nearly without error at any rate below a limiting rate, C.
  • See File:LarsLundheim-Telektronikk2002.pdf: The channel capacity of a band-limited information transmission channel with additive white, Gaussian noise. This capacity is given by an expression often known as “Shannon’s formula”: [bits/s]

with W as system bandwidth, and in case of interference free environment, otherwise , where with as Boltzmann constant and as temperature in Kelvin.

Exercises:

  • If the SNR is 20 dB, and the bandwidth available is 4 kHz, what is the capacity of the channel?
  • If it is required to transmit at 50 kbit/s, and a bandwidth of 1 MHz is used, what is the minimum S/N required for the transmission?

[source: Wikipedia, Telektronikk 2002]


⌘ Shannon - examples

[bits/s]

Examples

  • calculate capacity for W= 200 kHz, 3.8 Unik/MHz, 26 Unik/MHz, (all cases P/N = 0 dB, 10 dB, 20 dB)

Comments

F3-3.png

Figure: Calculation of Shannon capacity for GSM (GPRS, EDGE), UMTS (packet data, HSDPA) and 802.11b


F3-4.png

Figure: Log_10 funtion and related power. The power expressed in dB is 10 times the log_10 of the normalised power.

There are also the abbreviations

  • stands for power with respect to 1 mW. How much is 0 dB_m and 10 dB_m?
  • Power of a sound (or music).


⌘ Cell capacity in UMTS

CapacityUMTS.png

UMTS has good efficiency with respect to Shannon

⌘ Range versus SNR

RangeShannon.png

[Source:Valenzuela, BLAST project]

Comments

Shannon theorem and application to radio propagation

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