Optimal power control in interference-limited fading wireless channels with outage-probability specifications
By Sunil Kandukuri, Stephen P. Boyd. IEEE Transactions on Wireless Communications, 2002
669 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/e7731fc21fafca71836999c134e624edebdc5de7
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
- D. P. Palomar
- Yi Jiang
- Stephen P. Boyd
- Ali H. Sayed
- Lajos Hanzo
- Seung-Jean Kim
- Angelia Nedić
- Mung Chiang
In Electrical and Electronic Engineering
- D. P. Palomar
- Yi Jiang
- Lajos Hanzo
- Stephen P. Boyd
- Mung Chiang
- Shaoshi Yang
- Miguel Angel Lagunas
- John M. Cioffi
Citations in the corpus
- Joint Tx-Rx beamforming design for multicarrier MIMO channels: a unified framework for convex optimization (2003, methodology): “Convex programming has been used in related areas such as FIR filter design [23], antenna array pattern synthesis [24], power control for interference-limited wireless networks [25], and transmit downlink beamforming in a multiuser scenario with a multiantenna base station [22].”
- Simultaneous routing and resource allocation via dual decomposition (2004, background): “networks, such as quality of service (e.g., [ 28 , 29]).”
- A tutorial on geometric programming (2007, background): “Applications of geometric programming in other fields include: • chemical engineering [39, 132, 133, 152] • environment quality control [143, 65] • resource allocation in communication and network systems [14, 28, 29, 30, 31, 55, 65, 81, 83, 117] • information theory [11, 12, 84, 90, 29] • probabili”
- Power Control By Geometric Programming (2007, background): “The outage probability can be expressed as Po,i = 1 − ∏ j =i 1/(1 + SIRthGijPj GiiPi ) [11], which means that the upper bound Po,i ≤ Po,i,max can be written as an upper bound on a posynomial in P: ∏”
- Fifty Years of MIMO Detection: The Road to Large-Scale MIMOs (2015, positive): “interference is imposed by the non-orthogonality of spreading code sequences in practical CDM/CDMA systems [165].”
- Federated Learning over Wireless Networks: Optimization Model Design and Analysis (2019, background): “γ is the SNR threshold and ζ is the bounded probability [13].”
- Convex Optimization-Based Beamforming (2010, background): “See also [45] and [46] for outage bounds and other results related to this measure of SINR.”
- An Adaptive Cooperation Diversity Scheme With Best-Relay Selection in Cognitive Radio Networks (2010, methodology): “Throughout this paper, we use outage probability performance to quantify the QoS of primary transmissions [17].”
- Geometric Programming for Communication Systems (2005, background): “The outage probability can be expressed as [73]”
- MIMO Transceiver Design via Majorization Theory (2007, methodology): “Convex programming has been used in related areas such as FIR filter design [35, 168], antenna array pattern synthesis [89], power control for interference-limited wireless networks [81], and beamforming design in a multiuser scenario with a multi-antenna base station [10].”
- Balancing transport and physical Layers in wireless multihop networks: jointly optimal congestion control and power control (2005, background): “However, in the case of sufficiently small asynchronism we can show that propagation delay, delay in message passing, and clock asynchronism in rate-power updates become the loose constraints on the maximum step sizes, and do not cause a reduction in the rate of convergence.”