Resource Management in WCDMA - Multiobjective Optimization Methodology: A Jumping Gene Approach - page 168

25

20

15

10

5

0

NSGA2 MOGA SPEA2 NPGA2 JG

Algorithm

Figure 7.5
Total.number.of.extreme.nondominated.solutions.obtained.by.different.MOGAs.for.scenario.
b:.50.users..(From.Chan,.T..M.,.Man,.K..F.,.Tang,.K..S.,.Kwong,.S.,.A.jumping.gene.algorithm.for.
multiobjective.resource.management.in.wideband.CDMA.systems,. TheComputerJournal ,.48(6),.
749-768,.2005..With.permission.from.Oxford.University.Press.)

7.9 DiscussionofReal-TimeImplementation
The.integrated.scheme.comprised.a.GA,.and.the.fast.closed-loop.power.con-
trol.was.proposed.[11].to.achieve.a.possible.real-time.implementation..This.
power.control.adopted.by.the.Interim.Standard.95.(IS-95).[22].was.suggested.
in.3G.proposals.[6,23]..Furthermore,.it.was.indicated.that.adjusting.the.con-
trol.period.of.the.proposed.scheme.to.0.1.s.was.affordable.for.current.micro-
processors.[11].
Based. on. the. similar. control. scheme,. the. optimization. scheme. using. JG.
is.also.workable.in.real-time.environments.with.rapid.changes..The.factors.
affecting.the.computational.complexity.of.the.JG.are.(1).the.total.number.of.
connecting.users.in.the.network,.which.increases.the.chromosome.length,.
and.(2).the.transposition.operations,.which.increase.the.computational.load..
To.test.how.fast.the.JG.can.work.with.variations.of.these.factors,.the.statisti-
cal. results. of. running. times. were. collected. by. carrying. out. 50. simulation.
runs.using.a.Pentium.IV.1.3-GHz.computer.for.the.following.four.different.
configurations:

. 1.. Total. number. of. connecting. users. is. 25,. and. no. JG. transposition. is.

implemented.(i.e.,.transposition.rate.is.zero);

. 2.. Total. number. of. connecting. users. is. 25,. and. JG. transposition. is.

implemented;