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.

Influence of sheet roughness on the sensitivity of piezoelectric force sensors

Abstract: Piezoelectric force sensors are widely used in precision measurement and machining applications. Sensitivity is one of the significant parameters determining the precision of these sensors. The inf...

Changes in the length of internal state codes with the aim at minimizing the power consumption of finite-state machines

Abstract: Two heuristic techniques intended to encode the finite-state machine (FSM) internal states with the aim at decreasing the power consumption have been discussed. In the first approach, internal state codes are assumed to have the constant length. The second approach is based on code lengths varying from the minimum value to the level not leading to a decrease in power consumption. It is demonstrated that the second technique has a low computational complexity, making it possible to use FSMs with a large number of states. It has been ascertained experimentally that the FSM consumed power inherent to the NOVA algorithm can be decreased by 39% on the average (or by 68% with the use of certain benchmarks) via the first technique. In several cases, the second approach enables us to diminish the consumed power by 34% in comparison with the first one. Practical recommendations for the use of each technique, as well as the promising directions of further investigations, are presented.

Efficient Design of Multi-Packet Hybrid ARQ Transmission Scheme Based on Polar Codes

Abstract: In this paper, a new polar coded hybrid automatic repeat request (HARQ) strategy combining multiple packets (MP) of transmission rounds is proposed to improve the throughput, which is called MP-HARQ. In our scheme, first, part of message bits in previous packet and the new source packet are jointly encoded in the retransmission round. Then, backtrack-freezing decoding is implemented at the receiver. To maximize throughput and achieve rate adaptation, we optimize the parameters of the proposed scheme by dynamic programming algorithm on the basis of estimated packet error rate and calculation of throughput. Finally, numerical simulation results suggest that the proposed three-level MP-HARQ could attain similar throughput to the conventional incremental redundancy HARQ of rate-compatible punctured polar codes (RCPP IR-HARQ) and ensure a significant gain over the HARQ scheme with Chase combining, using a low-complexity HARQ control and less transmission times in contrast to RCPP IR-HARQ.

Joint AOA-RSS Fingerprint Based Localization for Cell-Free Massive MIMO Systems

Abstract: Fingerprint based localization is an effective positioning method for rich scattering environments, which has attracted the enormous attention in recent years. In this paper, we propose a novel fingerprint positioning method for cell-free massive multiple-input multiple-output (MIMO) systems. The angle-domain channel power matrix with lots of angle information can be extracted as the arrival-of-angle (AOA) fingerprint by exploiting discrete Fourier transform (DFT) operation. Then we also propose the angle similarity coefficient and the Euclidean distance as the AOA and received signal strength (RSS) fingerprint similarity criterions respectively to evaluate the distance between two fingerprints. Moreover, the K-means clustering algorithm is performed for improving the efficiency of fingerprint matching. Finally, we utilize the weighted K-nearest neighbor (WKNN) algotithm to estimate the location of the user, whose weight can be constructed according to the above fingerprint similarity criterions. The simulation results demonstrate that our proposed joint AOA-RSS fingerprint based location method has the better positioning performance than the methods only consider AOA or RSS fingerprint.