Unpredictable nature of fading channels and difficulty in tracking channel state information pose major challenge in wireless energy harvesting communication system design.
In this paper, maximum-likelihood (ML) signal-to-interference-plus-noise ratio (SINR) estimation is derived for a multiuser fading channel with additive Gaussian noise and M-ary phase-shift keying
In this paper, maximum-likelihood (ML) signal-to-interference-plus-noise ratio (SINR) estimation is derived for a multiuser fading channel with additive Gaussian noise and M-ary phase-shift keying
1. Introduction: Nondeterminism plays a profound role in the theory of automata. For certain types of automata, such as pushdown automata, it enhances their power.
With wireless spectrum being a precious commodity, the knowledge of the future wireless channel conditions is very valuable.
Although many microphone-array beamforming algorithms have been developed over the past few decades, most such algorithms so far can only offer limited performance in practical acoustic environment
In this paper, we consider a multiple-input-multiple-output (MIMO) detection problem with M widely spaced transmit antennas and L widely spaced receive antennas, and we study the problem of designi
We formulate and solve the energy minimization problem for a clustered device-to-device (D2D) network with cache-enabled mobile devices.
Channel state information (CSI) acquisition is one of the fundamental problems in wireless communications.
With an increase in number of software defined network (SDN) deployments, and OpenFlow consolidating as the protocol of choice for controller-switch interactions, a need to analytically model the s
