Penn State College of Communications

About: Penn State College of Communications is a based out in . It is known for research contribution in the topics: Relay & Cognitive radio. The organization has 2106 authors who have published 2119 publications receiving 24693 citations.

Outage Constrained Robust Beamforming and Power Splitting for Secure MISO SWIPT Channel

Abstract: In this letter, we investigate the simultaneous wireless information and power transfer in a multiple-input–single-output downlink system which consists of one multi-antenna transmitter, one single-antenna desired receiver, and multiple single-antenna eavesdroppers. Specifically, we investigate the outage-constrained secrecy rate maximization by jointly designing the transmit beamforming vector and the power splitting ratio with statistical channel uncertainties. To handle the formulated non-convex problem, we resort to semi-definite relaxation (SDR) and the Bernstein-type inequality to transform the outage constraints into a deterministic form. Then, the original problem can be efficiently solved by alternately optimizing two convex subproblems. In addition, we testify that the SDR can obtain the rank-one optimal solution. Finally, our proposed algorithm is validated by some representative numerical results.

D2D Relay Incenting and Charging Modes That Are Commercially Compatible With B2D Services

Abstract: Attractive monetary or other kinds of incentives are needed to motivate the relayers in device-to-device (D2D) communications. In this paper, little attention has been paid to D2D charge and incentive mechanisms that are also compatible with prevailing mobile service charging models. To help lay a foundation for commercial applications of the D2D, this paper studies the charge, reward, and penalty modes of D2D communication under operator control. The charge and reward mechanisms of D2D services are analyzed from the perspective of the commercial relationships between operators and end users participating in D2D links, deriving the incentive principles based on which a number of examples of practical reward/penalty and charging modes are presented. For unicast services, the user perception of charging and rewards in a D2D relay service is studied in detail for an end-to-end communication process and a reward and penalty metering method, compatible with a base-station-to-device (B2D) billing mode is analyzed. Specifically, in a typical congestion scenario, the probability of a relayer deliberately disconnecting the D2D is estimated and modeled, and the effect of reward and penalty policies on the reliability of D2D services is analyzed quantitatively. For a directional content multicast service, the process of establishing a D2D relay connection with reward status awareness is presented. Furthermore, the prevalence of free-riding can be reduced by measures such as giving users high reward credits with a higher priority in obtaining B2D and D2D services. Finally, following the derived principles, some segmented D2D application scenarios with commercial or social utility are identified as avenues to promote the commercial use of practical D2D relaying.

Heterogeneous Stream Scheduling for Cross-Modal Transmission

Abstract: Cross-modal communication is playing an increasingly important role in improving receivers’ immersive experience. The main challenge lies in ensuring the heterogeneous requirements of the cross-modal stream. Especially, the discontinuity of the received haptic signals caused by the delay should be eliminated. Unfortunately, existing schemes study the cross-modal stream separately, which leads to that the haptic signal is distorted, or the audio-visual quality is reduced. To solve this problem fundamentally, we propose a joint transmission framework combining prediction and device-to-device (D2D) communication by taking advantage of the correlation of the haptic signals and the proximity feature of the receivers. Specifically, on the theoretical end, to completely eliminate the discontinuity, we propose a prediction mechanism by predicting and sending the future signals in advance. To compensate for the reliability loss brought by prediction, D2D links are efficiently established on the receivers’ side. On the technical end, we first design a minimum resource (e.g., power) consumption search algorithm based on the binary search to obtain the optimal prediction horizon. Moreover, we develop a simple but efficient transmission mode selection algorithm based on the Hungarian algorithm. Experimental results demonstrate the advantages of our proposed scheme in saving the power consumption.