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This paper considers joint optimization of cooperative beamforming and relay assignment for multi-user multi-relay wireless networks to maximize the minimum of the received signal-to-interference-plus-noise ratios (SINR). Separated continuous optimization of beamforming and binary optimization of relay assignment already pose very challenging programs.(More)
Motivated by the work of Dahrouj and Yu in applying the Han-Kobayashi transmission strategy for mitigating the intercell interference in a multi-cell multi-user multiple-input single-output interference network (MISO IN), this paper considers splitting messages into private and common parts in a multi-cell multi-user MIMO IN. Specifically, the covariances(More)
This paper is concerned with sum rate maximization problem (program) of coordinated downlink beamforming in multicell multi-antenna wireless networks, which has never been adequately considered in literature due to its computational difficulty. It is shown to be efficiently solved by means of d.c. (difference of two convex functions/sets) programming. The(More)
The paper considers the joint design for splitting bit rates in private and common message transmissions and coordinated beamforming in a multi-cell multi-user multiple input single output (MISO) system. Namely, the users are purposely paired to decode the common messages to subtract interferences. Both the private messages and common messages are further(More)
This paper is concerned with downlink transmissions in coordinated multiple-input multi-output (MIMO) multicell wireless networks. The design of the transmit precoding matrices in this paper aims at the maximin optimization of user rates subject to realistic power constraints at the transmitters. This problem is a nonconvex objective function subject to(More)
In this paper, we are concerned with optimized linear precoding strategies for multiple-input multiple-output interference channels (MIMO-IFC). Under practical transmission power constraints, we aim at maximizing the sum-information-rate. To date, most developments could not directly address this problem. Instead, intermediate problems of simplification(More)
This paper is concerned with the downlink transmission in cognitive multiple-input single-output (MISO) multi-cell wireless networks. Subject to various interference tolerance and quality-of-services (QoF) constraints, the problem of sum rate maximisation is recast by concave programming, for which our previously developed Frank-and-Wolfe (FW) type(More)
We consider a multi-user multiple input multiple output (MU-MIMO) cellular network in which each base station (BS) can control its radiation pattern and transmission power to its serving users by adjusting its preceding matrices. Under a cooperative network between BSs, we propose a two-step procedure to minimize the total power consumption of the whole(More)
For multi-user (MU) amplify-and-forward (AF) cooperative networks, their spectral efficiency can be upgraded within the orthogonal transmission of each source node to an assigned subset of all available relays while their information throughput can be improved through optimized power allocation. We consider the joint optimization in both relay assignment(More)
Sensor selection is to pick out an appropriate subset of active sensors for reliable collaborative sensing. Naturally, the selected sensors should be as uncorrelated as possible to have more independent sensing outputs for information fusion. In this paper, various uncorrelation metrics are unified by the concept of Bregman divergence. The sensor selections(More)