Computer Science – Information Theory
Scientific paper
2011-08-23
Computer Science
Information Theory
24 pages, 6 figures
Scientific paper
The challenge of self-optimization for orthogonal frequency-division multiple-access (OFDMA) interference channels is that users inherently compete harmfully and simultaneous water-filling (WF) would lead to a Pareto-inefficient equilibrium. To overcome this, we first introduce the role of environmental interference derivative in the WF optimization of the interactive OFDMA game and then study the environmental interference derivative properties of Stackelberg equilibrium (SE). Such properties provide important insights to devise free OFDMA games for achieving various SEs, realizable by simultaneous WF regulated by specifically chosen operational interference derivatives. We also present a definition of all-Stackelberg-leader equilibrium (ASE) where users are all foresighted to each other, albeit each with only local channel state information (CSI), and can thus most effectively reconcile their competition to maximize the user rates. We show that under certain environmental conditions, the free games are both unique and optimal. Simulation results reveal that our distributed ASE game achieves the performance very close to the near-optimal centralized iterative spectrum balancing (ISB) method in [5].
Hou Jianjun
Ren Jie
Wong Kai-Kit
No associations
LandOfFree
Self-Optimized OFDMA via Multiple Stackelberg Leader Equilibrium does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Self-Optimized OFDMA via Multiple Stackelberg Leader Equilibrium, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Self-Optimized OFDMA via Multiple Stackelberg Leader Equilibrium will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-376985