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arXiv 2022年

作者： Mazher, Khurram Usman Mezghani, Amine Heath, Robert W. The Wireless Networking and Communications Group The University of Texas at Austin AustinTX78712 United States The Department of Electrical and Computer Engineering The University of Manitoba WinnipegMBR3T 2N2 Canada 6GNC Department of Electrical and Computer Engineering The North Carolina State University RaleighNC27695 United States

High-resolution fully digital transceivers are infeasible at millimeter-wave (mmWave) due to their increased power consumption, cost, and hardware complexity. The use of low-resolution converters is one possible solution to realize fully digital architectures at mmWave. In this paper, we consider a setting in which a fully digital base station with constant envelope quantized (CEQ) digital-to-analog converters on each radio frequency chain communicates with multiple single antenna users with individual signal-to-quantization-plus-interference-plus-noise ratio (SQINR) constraints over frequency selective channels. We first establish uplink downlink duality for the system with CEQ hardware constraints and OFDM-based transmission considered in this paper. Based on the uplink downlink duality principle, we present a solution to the multi-user multi-carrier beamforming and power allocation problem that maximizes the minimum SQINR over all users and sub-carriers. We then present a per sub-carrier version of the originally proposed solution that decouples all sub-carriers of the OFDM waveform resulting in smaller sub-problems that can be solved in a parallel manner. Our numerical results based on 3GPP channel models generated from Quadriga demonstrate improvements in terms of ergodic sum rate and ergodic minimum rate over state-of-the-art linear solutions. We also show improved performance over non-linear solutions in terms of the coded bit error rate with the increased flexibility of assigning individual user SQINRs built into the proposed framework. Copyright © 2022, The Authors. All rights reserved.

关键词： Orthogonal frequency division multiplexing

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Q-Learning Aided Intelligent Routing with Maximum Utility in Cognitive UAV Swarm for Emergency Communications

TechRxiv

引用

TechRxiv 2022年

作者： Zhang, Long Ma, Xiaozheng Zhuang, Zirui Xu, Haitao Sharma, Vishal Han, Zhu The School of Information and Electrical Engineering Hebei University of Engineering Handan056038 China The State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China The School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China The School of Electronics Electrical Engineering and Computer Science Queen’s University BelfastBT9 5BN United Kingdom The Department of Electrical and Computer Engineering University of Houston HoustonTX77004 United States The Department of Computer Science and Engineering Kyung Hee University Seoul446-701 Korea Republic of

This paper studies the routing problem in a cognitive unmanned aerial vehicle (UAV) swarm (CU-SWARM), which employs the cognitive radio into a swarm of UAVs within a three-layer hierarchical aerial-ground integrated network architecture for emergency communications. In particular, the flexibly converged architecture utilizes a UAV swarm and a high-altitude platform to support aerial sensing and access, respectively, over the disaster-affected areas. We develop a Q-learning framework to achieve the intelligent routing to maximize the utility for CU-SWARM. To characterize the reward function, we take into account both the routing metric design and the candidate UAV selection optimization. The routing metric jointly captures the achievable rate and the residual energy of UAV. Besides, under the location, arc, and direction constraints, the circular sector is modeled by properly choosing the central angle and the acceptable signal-to-noise ratio for UAV to optimize the candidate UAV selection. With this setup, we further propose a low-complexity iterative algorithm using the dynamic learning rate to update Q-values during the training process for achieving a fast convergence speed. Simulation results are provided to assess the potential of the Q-learning framework of intelligent routing as well as to verify our overall iterative algorithm via the dynamic learning rate for training procedure. Our findings reveal that the proposed algorithm converges in a few number of iterations. Furthermore, the proposed algorithm can increase the accumulated rewards, and achieve significant performance gains, as compared to the benchmark schemes. © 2022, CC BY.

关键词： Cognitive radio

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A Quantum Federated Learning Framework for Classical Clients

arXiv

引用

arXiv 2023年

作者： Song, Yanqi Wu, Yusen Wu, Shengyao Li, Dandan Wen, Qiaoyan Qin, Sujuan Gao, Fei State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China Department of Physics The University of Western Australia PerthWA6009 Australia School of Computer Science National Pilot Software Engineering School Beijing University of Posts and Telecommunications Beijing100876 China

Quantum Federated Learning (QFL) enables collaborative training of a Quantum Machine Learning (QML) model among multiple clients possessing quantum computing capabilities, without the need to share their respective local data. However, the limited availability of quantum computing resources poses a challenge for each client to acquire quantum computing capabilities. This raises a natural question: Can quantum computing capabilities be deployed on the server instead? In this paper, we propose a QFL framework specifically designed for classical clients, referred to as CC-QFL, in response to this question. In each iteration, the collaborative training of the QML model is assisted by the shadow tomography technique, eliminating the need for quantum computing capabilities of clients. Specifically, the server constructs a classical representation of the QML model and transmits it to the clients. The clients encode their local data onto observables and use this classical representation to calculate local gradients. These local gradients are then utilized to update the parameters of the QML model. We evaluate the effectiveness of our framework through extensive numerical simulations using handwritten digit images from the MNIST dataset. Our framework provides valuable insights into QFL, particularly in scenarios where quantum computing resources are scarce. Copyright © 2023, The Authors. All rights reserved.

关键词： Iterative methods

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Usability assessment on symmetric cryptography learning module 2

Usability assessment on symmetric cryptography learning modu...

引用

2nd International Conference on computer and Information Sciences, ICCIS 2020

作者： Syamsuddin, Irfan Bramantoro, Arif Politeknik Negeri Ujung Pandang Department of Computer and Networking Engineering Makassar Indonesia Faculty of Computing and Information Technology Rabigh King Abdulaziz University Saudi Arabia

ISBN: (纸本)9781728154671

Teaching information security requires lecturer to introduce several tools to encourage students performing hands on practices in better way in order to enhance their understanding. In this study, a novel learning module as a tool for student to perform symmetric cryptography exercises is introduced. It is called NgeXTEA, a novel learning module to describe how a simple yet powerful symmetric cryptography called Extended Tiny Encryption Algorithm (XTEA) works. The main objective of the study is to conduct assessment from usability point of view on NgeXTEA learning module using System Usability Scale (SUS) method. Finally, SUS based assessment indicated that the learning module is considered useful to enhance students' understanding and skills on the given topic. © 2020 IEEE.

关键词： Students

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Semantic-aided Parallel Image Transmission Compatible with Practical System

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IEEE Transactions on Wireless Communications 2025年

作者： Xu, Mingkai Wu, Yongpeng Shi, Yuxuan Xia, Xiang-Gen Debbah, Mérouane Zhang, Wenjun Zhang, Ping Shanghai Jiao Tong University Department of Electronic Engineering Shanghai200240 China Shanghai Jiao Tong University School of Cyber and Engineering Shanghai200240 China University of Delaware Department of Electrical and Computer Engineering NewarkDE19716 United States Khalifa University of Science and Technology KU6G Research Center PO Box Abu Dhabi127788 United Arab Emirates University Paris-Saclay CentraleSupelec Gif-sur-Yvette91192 France Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing100876 China

In this paper, we propose a novel semantic-aided image communication framework for supporting the compatibility with practical separation-based coding architectures. Particularly, the deep learning (DL)-based joint source-channel coding (JSCC) is integrated into the classical separate source-channel coding (SSCC) to transmit the images via the combination of semantic stream and image stream from DL networks and SSCC respectively, which we name as parallel-stream transmission. The positive coding gain stems from the sophisticated design of the JSCC encoder, which leverages the residual information neglected by the SSCC to enhance the learnable image features. Furthermore, a conditional rate adaptation mechanism is introduced to adjust the transmission rate of semantic stream according to residual, rendering the framework more flexible and efficient to bandwidth allocation. We also design a dynamic stream aggregation strategy at the receiver, which provides the composite framework with more robustness to signal-to-noise ratio (SNR) fluctuations in wireless systems compared to a single conventional codec. Finally, the proposed framework is verified to surpass the performance of both traditional and DL-based competitors in a large range of scenarios and meanwhile, maintains lightweight in terms of the transmission and computational complexity of semantic stream, which exhibits the potential to be applied in real systems. © 2002-2012 IEEE.

关键词： Channel coding

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Temporal CSI correlation in mixed RF/FSO cooperative relaying systems under joint effects of HPA nonlinearities and IQ imbalance

arXiv

引用

arXiv 2021年

作者： Balti, Elyes Mensi, Neji Rawat, Danda B. Wireless Networking and Communications Group Department of Electrical and Computer Engineering University of Texas at Austin AustinTX78712 United States Department of Electrical Engineering and Computer Science Howard University WashingtonDC20059 United States

In this paper, we present the performance analysis of mixed RF/FSO system with multiple relays. To select the best relay, we adopt partial relay selection with outdated CSI wherein we investigate the effect of the temporal correlation of the channels. Unlike the vast majority of work, we introduce the impairments to the relays and the destination and we compare the performance against conventional RF relaying systems. We further derive the expressions of the outage probability and the ergodic capacity as well as the bounds to unpack engineering insights into the system robustness. Copyright © 2021, The Authors. All rights reserved.

关键词： Traveling wave tubes

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Optimizing Generative AI networking: A Dual Perspective with Multi-Agent Systems and Mixture of Experts

arXiv

引用

arXiv 2024年

作者： Zhang, Ruichen Du, Hongyang Niyato, Dusit Kang, Jiawen Xiong, Zehui Zhang, Ping Kim, Dong In The College of Computing and Data Science Nanyang Technological University Singapore The School of Automation Guangdong University of Technology China The Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore The State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications China The Department of Electrical and Computer Engineering Sungkyunkwan University Suwon16419 Korea Republic of

In the continued development of next-generation networking and artificial intelligence content generation (AIGC) services, the integration of multi-agent systems (MAS) and the mixture of experts (MoE) frameworks is becoming increasingly important. Motivated by this, this article studies the contrasting and converging of MAS and MoE in AIGC-enabled networking. First, we discuss the architectural designs, operational procedures, and inherent advantages of using MAS and MoE in generative AI to explore its functionality and applications fully. Next, we review the applications of MAS and MoE frameworks in content generation and resource allocation, emphasizing their impact on networking operations. Subsequently, we propose a novel multi-agent-enabled MoE-proximal policy optimization (MoE-PPO) framework for 3D object generation and data transfer scenarios. The framework uses MAS for dynamic task coordination of each network service provider agent and MoE for expert-driven execution of respective tasks, thereby improving overall system efficiency and adaptability. The simulation results demonstrate the effectiveness of our proposed framework and significantly improve the performance indicators under different network conditions. Finally, we outline potential future research directions. © 2024, CC BY.

关键词： Multi agent systems

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Securing V2I communications in 5G and beyond wireless system using gradient ascent approach

arXiv

引用

arXiv 2021年

作者： Mensi, Neji Rawat, Danda B. Balti, Elyes Department of Electrical Engineering and Computer Science Howard University WashingtonDC20059 United States Wireless Networking and Communications Group Department of Electrical and Computer Engineering University of Texas at Austin AustinTX78712 United States

The 5G and beyond wireless systems, instead of being just an extension of 4G, are regarded as 'network of networks' which is expected to integrate heterogeneous wireless networks including wireless vehicular networks (WVN). The WVN promises to solve many issues such as reducing road accidents, traffic jams, fuel consumption and commute time, which is subject to various security issues such as eavesdropping, where attackers attempt to overhear the secret transmitted signal passively (which makes the detection/defense very difficult). In this work, our objective is to implement a security scheme by improving the secrecy capacity in Sub-6 GHz and millimeter-wave (mmWave) bands. Vehicle-to-Infrastructure (V2I) for 5G and beyond wireless network in. Unlike previous works where the secrecy capacity is increased by randomly augmenting the source power or setting the system combiners/precoders, in this work we employ the Gradient Ascent algorithm to search for the best combiners/precoders that maximizes the secrecy rate performance. We further present two different optimization scenarios: fixed and variable transmission power. Copyright © 2021, The Authors. All rights reserved.

关键词： 5G mobile communication systems

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A Privacy-Preserving Incentive Mechanism in Satellite-Terrestrial Crowdsensing 7

A Privacy-Preserving Incentive Mechanism in Satellite-Terres...

引用

7th International Conference on computer and Communications, ICCC 2021

作者： Zhu, Boxiang Li, Jiarui Liu, Zhongkai Liu, Yang Beijing University of Posts and Telecommunications School of Information and Communication Engineering China Beijing University of Posts and Telecommunications Department of Computer Science China Beijing University of Posts and Telecommunications International School China Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology China

ISBN: (纸本)9781665409506

In crowdsensing, users are concerned about their location privacy leakage, while users in remote areas are unable to connect to base stations, which prevents them from completing crowdsensing tasks. Current privacy-preserving algorithms and assignment mechanisms cannot provide personalized privacy protection for users. Therefore, we propose a differential private long-term privacy preserving auction with Lyapunov (DP-LAL) algorithm based on a satellite-terrestrial network (STN) that not only gives an approximate optimal total payment in polynomial time, but also compensates for the poor signal in remote areas. We employ reverse combinatorial auction and Lyapunov optimization theorem to jointly optimize queue stability and total payment. Compared with the widely used algorithms, the simulation results show that our algorithm is more efficient and has better economic benefits. © 2021 IEEE.

关键词： Polynomial approximation

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Gradient ascent algorithm for enhancing secrecy rate in wireless communications for smart grid

arXiv

引用

arXiv 2021年

作者： Mensi, Neji Rawat, Danda B. Balti, Elyes Department of Electrical Engineering and Computer Science Howard University WashingtonDC20059 United States Wireless Networking and Communications Group Department of Electrical and Computer Engineering The University of Texas at Austin AustinTX78712 United States

The emerging Internet of Things (IoT) and bidirectional communications in smart grid are expected to improve smart grid capabilities and electricity management. Because of massive number of IoT devices in smart grid, size of the data to be transmitted increases, that demands a high data rate to meet the real-time smart grid communications requirements. Sub-6 GHz, millimeter-wave (mmWave) technologies, and massive multiple-input multiple-output (MIMO) technologies can meet high data rate demands. However, IoT enabled smart grid is still subject to various security challenges such as eavesdropping, where attackers attempt to overhear the transmitted signals and the jamming attack, where the attacker perturbs the received signals at the receiver. In this paper, our goal is to investigate jamming and eavesdropping attacks while improving secrecy capacity for smart grid communications. Specifically, we propose to employ a hybrid beamforming design for wireless communications in smart energy grid. In previous works, the secrecy capacity is increased by randomly augmenting the source power or setting the system combiners. Unlike state-of-the-art, we design and evaluate the Gradient Ascent algorithm to search for the best combiners/waveform that maximizes the secrecy capacity in smart grid communications. We also study two different optimization scenarios by considering both fixed and variable transmit power. Numerical results are used for performance evaluation and supporting our formal analysis. Copyright © 2021, The Authors. All rights reserved.

关键词： Internet of things

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