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Among the realm of ultra-reliable and low-latency communication (URLLC), a challenging problem is how to realize an efficient transmission meeting both latency and reliability requirements.

: In wireless communications micro cells are potentially more energy efficient than conventional macro cells due to the high path loss exponent.

Network survivability requires the overprovisioning of backup resources in order to protect active traffic against any failure scenario.

In this work, we revisit the duality of treating interference as noise (TIN) from the generalized degrees-of-freedom (GDoF) perspective.

The deployment of cognitive radio networks enables efficient spectrum sharing and opportunistic spectrum access.

Non-orthogonal multiple access (NOMA) is an effective means to improve the spectral efficiency of a wireless communication system.

In wireless networks that use centralized transmission scheduling, reducing the transmission power normally leads to higher network transport throughput.

In this paper, we investigate a multi-sensor transmission power control problem for remote state estimation over interference channel.

In this paper, we investigate joint power control and routing policies for general multi-hop wireless networks when all the transmitting nodes are subject to a long-term average power constraint.

Using the EDGE system with cyclic frequency hopping as an example, we examine how a power control algorithm based on interference prediction by Kalman filter can be applied to packet voice service

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