Optimal and distributed protocols for cross-layer design of physical and transport layers in MANETs
IEEE/ACM Transactions on Networking (TON)
Power and rate control with outage constraints in CDMA wireless networks
IEEE Transactions on Communications
IEEE Transactions on Communications
Distributed power control using non-monotonic reaction curves
GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
Power control for cellular communications with channel uncertainties
ACC'09 Proceedings of the 2009 conference on American Control Conference
Retransmission aware congestion control and distributed power allocation in MANETs
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
A power control game with smooth reduction of SINR objectives
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Optimal route selection and resource allocation in multi-hop cognitive radio networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Rate adaptation games in wireless LANs: nash equilibrium and price of anarchy
INFOCOM'10 Proceedings of the 29th conference on Information communications
Outage-efficient strategies for multiuser MIMO networks with channel distribution information
IEEE Transactions on Signal Processing
Proportional Fair Scheduling with Capacity Estimation for Wireless Multihop Networks
Wireless Personal Communications: An International Journal
| Hi-index | 0.01 |
How can we achieve the conflicting goals of reduced transmission power and increased capacity in a wireless network, without attempting to follow the instantaneous state of a fading channel? In this paper, we address this problem by jointly considering power control and multiuser detection (MUD) with outage-probability constraints in a Rayleigh fast-fading environment. The resulting power-control algorithms (PCAs) utilize the statistics of the channel and operate on a much slower timescale than traditional schemes. We propose an optimal iterative solution that is conceptually simple and finds the minimum sum power of all users while meeting their outage targets. Using a derived bound on outage probability, we introduce a mapping from outage to average signal-to-interference ratio (SIR) constraints. This allows us to propose a suboptimal iterative scheme that is a variation of an existing solution to a joint power control and MUD problem involving SIR constraints. We further use a recent result that transforms complex SIR expressions into a compact and decoupled form, to develop a noniterative and computationally inexpensive PCA for large systems of users. Simulation results are presented showing the closeness of the optimal and mapped schemes, speed of convergence, and performance comparisons.