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GLOBALSOFT TECHNOLOGIES 
IEEE PROJECTS & SOFTWARE DEVELOPMENTS 
IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE 
BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS 
CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 
Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com 
Fair Scheduling in Cellular Systems in the Presence 
Of Noncooperative Mobiles 
ABSTRACT: 
We consider the problem of “fair” scheduling the resources to one of themanymobile 
stations by a centrally controlled base station (BS). The BS is the only entity taking 
decisions in this framework based on truthful information from the mobiles on their 
radio channel. We study the well-known family of parametric -fair scheduling problems 
from a game-theoretic perspective in which some of the mobiles may be no cooperative. 
We first show that if the BS is unaware of the non-cooperative behaviour from the 
mobiles, the non-cooperative mobiles become successful in snatching the resources from 
the other cooperative mobiles, resulting in unfair allocations. If the BS is aware of the 
noncooperative mobiles, a new game arises with BS as an additional player. It can then 
do better by neglecting the signals from the noncooperative mobiles. The BS, however, 
becomes successful in eliciting the truthful signals fromthe mobiles onlywhen it uses 
additional information (signal statistics). This new policy along with the truthful signals 
from mobiles forms a Nash equilibrium (NE) that we call a Truth Revealing 
Equilibrium. Finally, we propose new iterative algorithms to implement fair scheduling 
policies that robustify the otherwise nonrobust (in presence of noncooperation) -fair 
scheduling algorithms.
EXISTING SYSTEM: 
We first show that if the BS is unaware of the noncooperative behaviourfrom the 
mobiles, the noncooperative mobiles become successful in snatching the resources from 
the other cooperative mobiles, resulting in unfair allocations. If the BS is aware of the 
noncooperative mobiles, a new game arises with BS as an additional player. It can then 
do better by neglecting the signals from the noncooperative mobiles. The BS, however, 
becomes successful in eliciting the truthful signals fromthe mobiles onlywhen it uses 
additional information (signal statistics). This new policy along with the truthful signals 
from mobiles forms Nash equilibrium (NE) that we call a Truth Revealing Equilibrium. 
PROPOSED SYSTEM: 
We identified that the presence of noncooperative users results in a bias in the channel 
assignment for small values .As increases, an -fair scheduler becomes more and more 
robust to noncooperation irrespective of the awareness of the BS, and a max-min fair 
scheduler is always robust. When the BS is aware of the noncooperative mobiles, we 
characterized a Babbling equilibrium that is obtained when both the BS and the 
noncooperative players make no use of the signalling opportunities. Finally, we 
proposed iterative robust fair sharing to robustify the -FSA in the presence of 
noncooperation. 
CONCLUSION: 
We studied centralized downlink transmissions in a cellular network in the presence of 
noncooperative mobiles. Using the -fair scheduler, the BS has to assign the slot to one of 
the manymobiles based on truthful information from mobiles about their time-varying 
channel gains. A noncooperative mobile may misrepresent its signal to the BS so as to
maximize his throughput. We modelled a noncooperative mobile as a rational player 
who wishes to maximize his throughput. For this game, we identified several scenarios 
related to the awareness of BS. When the BS is unaware of this noncooperative 
behaviour, we modelledthis game as a noncooperative game with the mobiles alone as 
players 
SYSTEM CONFIGURATION:- 
HARDWARE CONFIGURATION:- 
 Processor - Pentium –IV 
 Speed - 1.1 Ghz 
 RAM - 256 MB(min) 
 Hard Disk - 20 GB 
 Key Board - Standard Windows Keyboard 
 Mouse - Two or Three Button Mouse 
 Monitor - SVGA 
SOFTWARE CONFIGURATION:- 
 Operating System : Windows XP 
 Programming Language : JAVA 
 Java Version : JDK 1.6 & above.

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2014 IEEE JAVA NETWORKING PROJECT Fair scheduling in cellular systems in the presence of non cooperative mobiles

  • 1. GLOBALSOFT TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com Fair Scheduling in Cellular Systems in the Presence Of Noncooperative Mobiles ABSTRACT: We consider the problem of “fair” scheduling the resources to one of themanymobile stations by a centrally controlled base station (BS). The BS is the only entity taking decisions in this framework based on truthful information from the mobiles on their radio channel. We study the well-known family of parametric -fair scheduling problems from a game-theoretic perspective in which some of the mobiles may be no cooperative. We first show that if the BS is unaware of the non-cooperative behaviour from the mobiles, the non-cooperative mobiles become successful in snatching the resources from the other cooperative mobiles, resulting in unfair allocations. If the BS is aware of the noncooperative mobiles, a new game arises with BS as an additional player. It can then do better by neglecting the signals from the noncooperative mobiles. The BS, however, becomes successful in eliciting the truthful signals fromthe mobiles onlywhen it uses additional information (signal statistics). This new policy along with the truthful signals from mobiles forms a Nash equilibrium (NE) that we call a Truth Revealing Equilibrium. Finally, we propose new iterative algorithms to implement fair scheduling policies that robustify the otherwise nonrobust (in presence of noncooperation) -fair scheduling algorithms.
  • 2. EXISTING SYSTEM: We first show that if the BS is unaware of the noncooperative behaviourfrom the mobiles, the noncooperative mobiles become successful in snatching the resources from the other cooperative mobiles, resulting in unfair allocations. If the BS is aware of the noncooperative mobiles, a new game arises with BS as an additional player. It can then do better by neglecting the signals from the noncooperative mobiles. The BS, however, becomes successful in eliciting the truthful signals fromthe mobiles onlywhen it uses additional information (signal statistics). This new policy along with the truthful signals from mobiles forms Nash equilibrium (NE) that we call a Truth Revealing Equilibrium. PROPOSED SYSTEM: We identified that the presence of noncooperative users results in a bias in the channel assignment for small values .As increases, an -fair scheduler becomes more and more robust to noncooperation irrespective of the awareness of the BS, and a max-min fair scheduler is always robust. When the BS is aware of the noncooperative mobiles, we characterized a Babbling equilibrium that is obtained when both the BS and the noncooperative players make no use of the signalling opportunities. Finally, we proposed iterative robust fair sharing to robustify the -FSA in the presence of noncooperation. CONCLUSION: We studied centralized downlink transmissions in a cellular network in the presence of noncooperative mobiles. Using the -fair scheduler, the BS has to assign the slot to one of the manymobiles based on truthful information from mobiles about their time-varying channel gains. A noncooperative mobile may misrepresent its signal to the BS so as to
  • 3. maximize his throughput. We modelled a noncooperative mobile as a rational player who wishes to maximize his throughput. For this game, we identified several scenarios related to the awareness of BS. When the BS is unaware of this noncooperative behaviour, we modelledthis game as a noncooperative game with the mobiles alone as players SYSTEM CONFIGURATION:- HARDWARE CONFIGURATION:-  Processor - Pentium –IV  Speed - 1.1 Ghz  RAM - 256 MB(min)  Hard Disk - 20 GB  Key Board - Standard Windows Keyboard  Mouse - Two or Three Button Mouse  Monitor - SVGA SOFTWARE CONFIGURATION:-  Operating System : Windows XP  Programming Language : JAVA  Java Version : JDK 1.6 & above.