Learn More
The general MIMO interference network is considered and is named the B-MAC Network, for it is a combination of multiple interfering broadcast channels and multiaccess channels. Included as special cases are interference channels, X channels, X networks, and most practical wireless networks. The optimization of this important class of networks has been(More)
We take two new approaches to design efficient algorithms for transmitter optimization under rate constraints, to guarantee the Quality of Service in general MIMO interference networks, which is a combination of multiple interfering broadcast channels (BC) and multiaccess channels (MAC) and is named B-MAC Networks. Two related optimization problems,(More)
—The algorithms in this paper exploit optimal input structure in interference networks and is a major advance from the state-of-the-art. Optimization under multiple linear constraints is important for interference networks with individual power constraints, per-antenna power constraints, and/or interference constraints as in cognitive radios. While for(More)
— Noncoherent receivers are attractive for pulsed UWB systems due to the implementation simplicity. To alleviate the noise effect in detecting UWB PPM signals, this letter proposes a simple yet flexible weighted noncoherent receiver structure, which adopts a square-law integrator multiplied with a window function. The integrator outputs captured within(More)
—The power consumption schemes of consumers is an important issue in energy management process in smart grid. The non-cooperative methods which are always considered cannot achieve the maximized performance for consumers and networks. In this paper, we propose a cooperative power consumption scheme for consumers based on coalition formation game, which is(More)
—In a communication network, it is often impractical for each node to learn the global channel knowledge (network connectivity and channel state information of each link). In this paper, we address distributed rate optimization for Time-Division Duplex (TDD) Multiple-Input Multiple-Output (MIMO) networks when part of the local channel knowledge is learned(More)