In this paper, the partial Hamming correlation properties of frequency-hopping sequences (FHSs) are discussed. The Peng-Fan bounds on sets FHSs generalized to case correlation. Both individual with optimal autocorrelation and presented. former has more new parameters compared known autocorrelation, while later is obtained in literature for first time.

Abstract Multi-cloud computing is becoming a promising paradigm to provide abundant computation resources for Internet-of-Things (IoT) devices. For multi-device multi-cloud network, the real-time requirements, frequently varied wireless channel gains and changeable network scale, make system more dynamic. It critical satisfy dynamic nature of with different constraints IoT devices in environment. In this paper, we establish continuous-discrete hybrid decision offloading model, each device...

The recently emerging federated learning (FL) exploits massive data stored at multiple user nodes to train a global optimal model without leaking the privacy of data. However, it is still inadequate learn safely centralized aggregator, which an essential part for traditional FL architecture. Specifically, when using in radio access networks enable edge intelligence, difficult central server, belongs third party, guarantee its credibility. Moreover, because server may cause single point...

In this paper, new design of optimal frequency hopping sequences (FHSs) with low hit zone (LHZ) respect to the Peng-Fan-Lee bound is presented based on interleaving techniques. By design, classes LHZ FHS sets large family size are obtained. It shown that all in proposed shift distinct. The suitable for quasi-synchronous time/frequency code division multiple access systems eliminate multiple-access interference.

In literatures, there are various constructions of frequency hopping sequence (FHS for short) sets with good Hamming correlations. Some papers employed only multiplicative groups finite fields to construct FHS sets, while other implicitly used additive construction sets. this paper, we make use both and simultaneously present a optimal The provides new family (q <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</sup> - 1, q...

In order to evaluate the goodness of frequency hopping sequence design, periodic Hamming correlation function is used as an important measure. Usually, length window shorter than period chosen sequence, so study partial particularly important. this paper, maximum lower bounds sequences with low hit zone, respect size slot set, window, family size, autocorrelation and crosscorrelation are established. It shown that new include known Lempel-Greenberger bound, Peng-Fan bounds, Eun-Jin-Hong-Song...

Through information sharing, vehicles can know the surrounding road condition timely in Vehicular Adhoc Networks. To ensure validity of these messages and security vehicles, message authentication, privacy-preserving, delay problems are three important issues. Although many conditional privacy-preserving authentication schemes have been proposed to secure communication, there still exist some imperfections such as frequent interactions or unlinkability. From this, our paper proposes a novel...

Frequency hopping/time hopping (FH/TH) sequences have found wide applications in various modern FH/TH spread spectrum communications, namely ultra-wide bandwidth radio, multi-user radar, sonar systems, wireless sensor networks, and so on. The average Hamming correlation (AHC) is an important performance indicator of the sequences. In order to evaluate sequences, it find tight theoretical bound on AHC. lower bound, which has not yet been previously reported, AHC for with respect size...

In this paper, a new design of frequency hopping sequences (FHSs) setswith low hit zone (LHZ) is presented based on interleaving technique. The key idea the to use short FHSs withgood Hamming correlation together with certain appropriate shiftsequences construct set long LHZ. By newdesign, sets meeting Peng-Fan-Leebound are obtained. It shown that all in theproposed FHS shift distinct. proposed aresuitable for quasi-synchronous code divisionmultiple access systems eliminate multiple-access...

Applying blockchain technology in the Internet of Things (IoT) systems to realize massive data storage is a promising technology, which can eliminate dependence IoT on central servers and protect security effectively. However, legacy systems, it hardly store complete at all nodes due limited space. In order securely resource-constrained we design blockchain-assisted distributed mechanism, by multiple collaboratively blockchain. Meanwhile, deep reinforcement learning (DRL) based algorithm...

The implementation of Open Radio Access Network (O-RAN) architecture in Internet Things (IoT) systems has garnered significant attention as a means to fulfill the stringent requirements ultra-low latency and energy consumption future IoT systems. Although traditional edge network been extensively employed, it continues pose challenges terms synchronizing integration global local information for design an optimal offloading strategy servers, thus hindering reduction devices. In effort...

In this paper, a general framework of constructing the optimal frequency-hopping sequence (FHS) sets is presented based on designated direct product. Under framework, we obtain infinitely many new FHS by combining some one-coincide (OC) that are newly constructed in paper with known sets. Our constructions also extension method. However, our give and flexible parameters due to free choice OC set. As result, allow great flexibility choosing for given spread spectrum system.

A Z‐complementary pair may be used as an alternative of a Golay complementary in many engineering applications. new simple approach to generate more equal length pairs is proposed. It proved that composed linear combination complex and the same its mate. In particular, constructions ternary quadriphase based on binary their mates are

Accurate tropical cyclone (TC) intensity and size estimation are key in disaster management prevention. While great breakthroughs have been made TC research, there is currently a lack of research on reflecting influence radius. Therefore, we propose lightweight multi-task learning model (TC-MTLNet) with adaptive loss balance to simultaneously estimate size. Adaptive utilized solve the problem inconsistent convergence speed tasks. The based four 2-D convolutions, 3-D convolutions three fully...