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.

Coalition formation based energy efficient spectrum leasing in doubtful inband cooperative D2D communications

Abstract: In this paper, we investigate an inband cooperative device-to-device (D2D) communication system in cellular networks. Cellular users and D2D pairs help each other to improve their respective performance. Specifically, via coalition formation, cellular users release some of their spectrum to D2D pairs so as to start the communications of the D2D pairs; at the same time, D2D pairs help to relay the messages of the cellular users. The D2D pairs are thought to be socially untrusted to the cellular users, as thus, a secrecy problem for cellular users comes into being due to the relaying. Then we address this problem from a physical layer security perspective. A coalition formation algorithm is designed to solve the spectrum management problem in this cooperative system. Numerical results show the validity of the proposed scheme.

Anti-Jamming Routing For Internet of Satellites: a Reinforcement Learning Approach

Abstract: The anti-jamming routing for the Internet of Satellites (IoS) has drawn increasing attentions due to the unknown interrupts, unexpected congestion and smart jamming. This paper investigates anti-jamming routing scheme for heterogeneous IoS, with the aim of minimizing anti-jamming routing cost. Firstly, to tackle the smart jamming which can automatically change jamming strategies according to the jamming effect, we formulate the routing anti-jamming problem as a hierarchical anti-jamming Stackelberg game. Secondly, we propose a deep reinforcement learning based routing algorithm (DRLR) to obtain an available routing path subset. Furthermore, based on this set, a fast response anti-jamming algorithm (FRA) is proposed to achieve fast and reliable antijamming routing. Finally, the simulations have shown that the proposed algorithm have lower routing cost and better antijamming performance than existing approaches.

Exploiting Fine-Grained Subcarrier Information for Device-Free Localization in Wireless Sensor Networks.

Abstract: Device-free localization (DFL) that aims to localize targets without carrying any electronic devices is addressed as an emerging and promising research topic. DFL techniques estimate the locations of transceiver-free targets by analyzing their shadowing effects on the radio signals that travel through the area of interest. Recently, compressive sensing (CS) theory has been applied in DFL to reduce the number of measurements by exploiting the inherent spatial sparsity of target locations. In this paper, we propose a novel CS-based multi-target DFL method to leverage the frequency diversity of fine-grained subcarrier information. Specifically, we build the dictionaries of multiple channels based on the saddle surface model and formulate the multi-target DFL as a joint sparse recovery problem. To estimate the location vector, an iterative location vector estimation algorithm is developed under the multitask Bayesian compressive sensing (MBCS) framework. Compared with the state-of-the-art CS-based multi-target DFL approaches, simulation results validate the superiority of the proposed algorithm.

Multi-pair two-way massive MIMO AF full-duplex relaying with ZFR/ZFT and imperfect CSI

Abstract: This paper investigates a multi-pair two-way massive MIMO amplify-and-forward full-duplex relay (MM-AFFDR) system over Ricean fading channels, where multiple pairs of full-duplex users exchange information within pair through a full-duplex relay with very large number of antennas (M for transmission and M for reception). Firstly, the zero-forcing reception/zero-forcing transmission (ZFR/ZFT) processing matrix with imperfect channel state information (CSI) at the relay is presented. Then, the asymptotic expression of the end-to-end SINR is derived. Finally, The asymptotic spectral efficiency and energy efficiency at the general power scaling schemes when the number of the relay antennas tends to infinity are analyzed. Theoretical analyses and simulation results show that, when M → ∞, the effects of channel estimation error and the self-loop of each user as well as the relay can be eliminated if the power scaling scheme is properly selected. Besides, the considered multipair two-way FDR outperforms the multi-pair two-way HDR when M is large.

Blind detection of satellite communication signals based on cyclic spectrum

Abstract: In this paper, the fundamental characteristics of cyclostationary signal are investigated. Firstly, through analyzing the cyclostationarity of some typical satellite communication signals (e.g. MPSK, MSK and QAM signals), the guidelines to blindly detect satellite communication signals are obtained. Then the simulation of the above signals' cyclic spectrum is performed based on engineering calculation formula of spectral correlation function. Furthermore, under the condition of low SNR, the signals detection is realized by searching the spectral peak on the section of cycle frequency. Last but not least, the performance of the algorithm is analyzed, and the simulation results prove the validity of the method.