Data networks
Knapsack problems: algorithms and computer implementations
Knapsack problems: algorithms and computer implementations
Adaptive lexicographic optimization in multi-class M/GI/1 queues
Mathematics of Operations Research
Problems of adaptive optimization in multiclass M/GI/1 queues with Bernoulli feedback
Mathematics of Operations Research
Multiuser Detection
A framework for opportunistic scheduling in wireless networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Convergence of proportional-fair sharing algorithms under general conditions
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
Multiaccess fading channels. II. Delay-limited capacities
IEEE Transactions on Information Theory
Analysis of a simple successive interference cancellation scheme in a DS/CDMA system
IEEE Journal on Selected Areas in Communications
Resource allocation and cross-layer control in wireless networks
Foundations and Trends® in Networking
Channel sharing by multi-class rate adaptive streams: Performance region and optimization
Computer Networks: The International Journal of Computer and Telecommunications Networking
Hi-index | 0.25 |
We present a framework for designing optimal policies addressing resource allocation problems in wireless networks. We consider a general utility function optimization objective. Specific choices of the utility functions lead to policies that satisfy several well-known fairness criteria, e.g. max-min and proportional-fair. Traditional approaches for solving these nonlinear optimization problems in an off-line manner, lead to nonadaptive policies that usually rely on system parameters, which may not be known a priory. Within our framework the development of such policies is based on the adaptive employment of policies that solve linear optimization problems. In several situations the development of policies for these linear problems is fairly simple and depends minimally on system parameters. Subsequently, we apply this method to three specific wireless resource allocation problems. In particular we consider wireless fading channel systems and provide optimal policies for (a) uplink optimal power allocation for constant bit rate connections, (b) uplink optimal average throughput allocation, and (c) downlink optimal scheduling with limited transmission rate capabilities over multiple fading channels.