Balancing transport and physical Layers in wireless multihop networks: jointly optimal congestion control and power control

By Mung Chiang. IEEE Journal on Selected Areas in Communications, 2005

723 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/2ec40edeb468b65fc8fc28c5b20e7d2c4091305a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Mung Chiang
2. D. P. Palomar
3. Michael J. Neely
4. John C. Doyle
5. Steven H. Low
6. A. Robert Calderbank
7. Ian F. Akyildiz
8. Tommaso Melodia

In Electrical and Electronic Engineering

1. Mung Chiang
2. D. P. Palomar
3. Michael J. Neely
4. John C. Doyle
5. Steven H. Low
6. Shuguang Cui
7. A. Robert Calderbank
8. Tommaso Melodia

Citations in the corpus

• Alternative Distributed Algorithms for Network Utility Maximization: Framework and Applications (2007, methodology): “The case of deterministic feedback error has been treated, e.g., in [ 8 ] and [37], where the key methodologies used include ensuring that feedback errors are sufficiently small compared to the true values, and constructing contraction regions.”
• Wireless sensor network survey (2008, neutral): “[121,122] propose a jointly-optimal”
• Layering as Optimization Decomposition: A Mathematical Theory of Network Architectures (2007, background): “Issues arising in practical implementation, such as asynchronous update and reduced message passing, and their impacts on convergence and optimality, are discussed in [18].”
• Power Control By Geometric Programming (2007, background): “GP application to the first approach has appeared in [6], and we focus on the second (and easier) approach in this section.”
• A survey on wireless multimedia sensor networks (2007, background): “Furthermore, congestion control and power control are also inherently coupled [32], as the capacity available on each link depends on the transmission power.”
• A survey of multimedia streaming in wireless sensor networks (2008, neutral): “interfaces, coordinating between the sub-problems [120].”
• Cross-Layer Congestion Control, Routing and Scheduling Design in Ad Hoc Wireless Networks (2006, methodology): “It can include power control as well [ 4 ] as power does not change convexity of the feasible rate region.”
• Distributed interference compensation for wireless networks (2006, methodology): “With logarithmic utility functions, it is shown in [6] that Problem P1 is a strictly concave maximization problem over the transformed variables yi = log pi.”
• Energy-Efficient Cooperative Communication Based on Power Control and Selective Single-Relay in Wireless Sensor Networks (2008, background): “In fact, such cross-layer design problems are hot research topics nowadays [ 39 ], [40], and we would explore this direction in the future.”
• Fairness and Optimal Stochastic Control for Heterogeneous Networks (2005, background): “Utility optimization problems similar to (2), (3) are considered for static wireless downlinks with infinite backlog in [5], and for static multi-hop wireless networks in [8].”
• A tutorial on decomposition methods for network utility maximization (2006, background): “This framework of “Layering as Optimization Decomposition” (surveyed in [1], see also discussions in [2] and another tutorial in this special issue [3]) rigorously integrates the various protocol layers into a single coherent theory,”