In cellular-connected unmanned aerial vehicle (UAV) network, a minimization problem on the weighted sum of time cost and expected outage duration is considered. Taking advantage UAV's adjustable mobility, UAV navigation approach formulated to achieve aforementioned optimization goal. Conventional offline techniques suffer from inefficiency in accomplishing task due practical consideration local building distribution directional antenna radiation pattern. Alternatively, after mapping into...

Integrating unmanned aerial vehicles (UAVs) into existing cellular networks encounters lots of challenges, among which one the most striking concerns is how to achieve harmonious coexistence transceivers, inter alia, UAVs, and terrestrial user equipments (UEs). In this paper, a cellular-connected UAV network focused, where multiple UAVs receive messages from base stations (BSs) in down-link, while BSs are serving ground UEs their cells. For effectively managing inter-cell interferences...

In this letter, we consider a wireless uplink transmission scenario in which an unmanned aerial vehicle (UAV) serves as base station collecting data from ground users. To optimize the expected sum transmit rate without any prior knowledge of users (e.g., locations, channel state information and power), trajectory planning problem is optimized via quantum-inspired reinforcement learning (QiRL) approach. Specifically, QiRL method adopts novel probabilistic action selection policy new strategy,...

To enhance transmission performance, privacy level, and energy manipulating efficiency of wireless networks, this article initiates a novel simultaneous information power transfer (SWIPT) full-duplex (FD) relaying protocol, named harvest-and-opportunistically-relay (HOR). Due to the FD characteristics, dynamic fluctuation relay's residual is difficult quantify track. solve problem, Markov Chain (MC) theory invoked. Furthermore, improve level proposed HOR system, covert performance analysis...

In the presence of Warden's detection, a maximization problem on transmission throughput from unmanned aerial vehicle (UAV) to legitimate nodes is considered and solved via UAV trajectory design, subject covert, velocity mobility constraints. With building-distribution-based pathloss model uncertain location model, formulated optimization challenging be tackled through standard offline methods. Alternatively, twin delayed deep deterministic policy gradient (TD3) approach enhanced by...

Blockchain technology provides the possibility for realization of decentralized energy trading. However, blockchain confronts privacy risks and efficiency issues, which hinder its application in In this paper, to solve problem, we propose an efficient privacy-preserving trading scheme a environment. We account mapping algorithm attack problem. new transaction processing method, can protect private data improve execution by two-layer processing. Finally, verify effectiveness proposed...

In Rayleigh fading channels, to enhance the secrecy performance of wireless communication systems and efficiently disturb interception eavesdroppers, multiple-antenna source node utilizes artificial noise aided precoding (ANP) strategy with imperfect channel state information emit confidential simultaneously. Besides, two-antenna decode-and-forward relay applies full-duplex (FD) relaying protocol, destination which contains multiple antennas adopts maximum ratio combining technique. Taking...

In Rayleigh fading channels, we investigate the secrecy performance of a full-duplex relay secure transmission system. To improve capacity system and efficiently interfere interception eavesdropper, multiple-antenna source applies artificial noise aided precoding (ANP) scheme to broadcast intended signal simultaneously, decode-and-forward operates in full- duplex mode. received signal-to-noise ratio (SNR), destination maximum combining (MRC) strategy. presence self-interference at relay,...

We investigate the secrecy rate optimization problem in a wiretap channel with single-antenna source, eavesdropper, and multiple-antenna full-duplex (FD) destination. To fully utilize spatial degrees-of-freedom of multiple antennas, function antennas at destination is not predefined, i.e., each antenna can operate transmit or receive mode. propose low-complexity near-optimal joint scheme by jointly applying dynamic mode switching (AMS) optimal power allocation (OPA) techniques, to maximize...

In cellular-connected unmanned aerial vehicle (UAV) network, a minimization problem on the weighted sum of time cost and expected outage duration is considered. Taking advantage UAV's adjustable mobility, an intelligent UAV navigation approach formulated to achieve aforementioned optimization goal. Specifically, after mapping task into Markov decision process (MDP), deep reinforcement learning (DRL) solution with novel quantum-inspired experience replay (QiER) framework proposed help find...

Cipher-block chaining (CBC) is a widely used encryption mode for smart grid data, however, the chain structure leads to low and decryption efficiency. To overcome this issue, paper proposes novel tree-CBC (TCBC) block method. First, plaintext preprocessed according security level of data. Second, CBC converted into tree structure, data with higher level, its location deeper in tree. Third, since overall time encrypted by TCBC depend on number forks tree, method determine optimal based...

We propose a novel cascaded neural network with abnormality monitoring to simultaneously identify the modulation format and monitor OSNR. The experimental results show 97.5 % MFI accuracy 0.167dB average MAE for OSNR monitoring.

In Rayleigh fading channels, a novel full-duplex destination jamming with optimal antenna selection (FDJ-OAS) scheme is proposed to improve the secrecy performance of untrusted relay system multiple-antenna destination. The traditional half-duplex and nonjamming both combined OAS are presented compare FDJ-OAS. approximate closed-form expressions ergodic achievable rate power allocation factor for FDJ-OAS significantly derived in large-scale antennas analysis. Furthermore, simulation results...

In this paper, a new transmission protocol is proposed to improve the performance of power-splitting energy harvesting relaying system. Since decode-and-forward relay operates in full-duplex mode, state exhibits complex charge-discharge behavior. Based on discretization battery energy, transfer probability analyzed by using Markov chain, and initial distribution presented. We further derive closed-form expression outage probability. The numerical results verify accuracy derived reveal...

In this paper, a novel opportunistic scheduling (OS) scheme with antenna selection (AS) for the energy harvesting (EH) cooperative communication system where relay can harvest from source transmission is proposed. considered scheme, we take into both traditional mathematical analysis and reinforcement learning (RL) scenarios power splitting (PS) factor constraint. For case of fixed-PS factor, derive an exact closed-form expressions ergodic capacity outage probability in general...

In cellular-connected unmanned aerial vehicle (UAV) network, a minimization problem on the weighted sum of time cost and expected outage duration is considered. Taking advantage UAV's adjustable mobility, an intelligent UAV navigation approach formulated to achieve aforementioned optimization goal. Specifically, after mapping task into Markov decision process (MDP), deep reinforcement learning (DRL) solution with novel quantum-inspired experience replay (QiER) framework proposed help find...

In this paper, a novel opportunistic scheduling (OS) scheme with antenna selection (AS) for the energy harvesting (EH) cooperative communication system where relay node can harvest from source transmission is proposed. To facilitate EH and information processing simultaneously, we consider power-splitting (PS) protocol at multiple-antenna relay. Unlike existing OS strategy, only exploited source-to-relay or relay-to-destination link, our proposed OS-based on AS (OS-AS) achieve much...