Elements of information theory
Elements of information theory
An introduction to signal detection and estimation (2nd ed.)
An introduction to signal detection and estimation (2nd ed.)
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Information Theory and Reliable Communication
Information Theory and Reliable Communication
Convex Optimization
IEEE Transactions on Signal Processing
On power allocation for parallel Gaussian broadcast channels with common information
EURASIP Journal on Wireless Communications and Networking - Special issue on optimization techniques in wireless communications
Robust IWFA for open-spectrum communications
IEEE Transactions on Signal Processing
Transmit beamforming for physical-layer multicasting
IEEE Transactions on Signal Processing - Part I
Optimum power control over fading channels
IEEE Transactions on Information Theory
The capacity region of broadcast channels with intersymbol interference and colored Gaussian noise
IEEE Transactions on Information Theory
Sum power iterative water-filling for multi-antenna Gaussian broadcast channels
IEEE Transactions on Information Theory
The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel
IEEE Transactions on Information Theory
Resource Allocation for Wireless Fading Relay Channels: Max-Min Solution
IEEE Transactions on Information Theory
Secure Communication Over Fading Channels
IEEE Transactions on Information Theory
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
Proceedings of the 4th International ICST Conference on Simulation Tools and Techniques
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A tactical radio network is a radio network in which a transmitter broadcasts the same information to its receivers. In this paper, dynamic spectrum management is studied for multiple cognitive tactical radio networks coexisting in the same area. First, we consider the problem of common rate maximization subject to a total power constraint for a single tactical radio network having multiple receivers and using parallel subchannels (parallel multicast channels). Mathematical derivations show that the optimal power allocation can be found in closed form under multiple hypothesis testing. An outer loop can be used tominimize the power subject to a common rate constraint. Then, we extend the iterative water-filling algorithm to the coexistence of multiple cognitive tactical radio networks without requiring any cooperation between the different networks. The power allocation is performed autonomously at the transmit side assuming knowledge of the noise variances and channel variations of the network. Simulation results show that the proposed algorithm is very robust in satisfying these constraints while minimizing the overall power in various scenarios.