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    COVER PAPER
  • COVER PAPER
    Weijie Yuan, Shuangyang Li, Zhiqiang Wei, Yuanhao Cui, Jiamo Jiang, Haijun Zhang, Pingzhi Fan
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    In the 6G era, Space-Air-Ground Integrated Network (SAGIN) are anticipated to deliver global coverage, necessitating support for a diverse array of emerging applications in high-mobility, hostile environments. Under such conditions, conventional orthogonal frequency division multiplexing (OFDM) modulation, widely employed in cellular and Wi-Fi communication systems, experiences performance degradation due to significant Doppler shifts. To overcome this obstacle, a novel two-dimensional (2D) modulation approach, namely orthogonal time frequency space (OTFS), has emerged as a key enabler for future high-mobility use cases. Distinctively, OTFS modulates information within the delay-Doppler (DD) domain, as opposed to the time-frequency (TF) domain utilized by OFDM. This offers advantages such as Doppler and delay resilience, reduced signaling latency, a lower peak-to-average ratio (PAPR), and a reduced-complexity implementation. Recent studies further indicate that the direct interplay between information and the physical world in the DD domain positions OTFS as a promising waveform for achieving integrated sensing and communications (ISAC). In this article, we present an in-depth review of OTFS technology in the context of the 6G era, encompassing fundamentals, recent advancements, and future directions. Our objective is to provide a helpful resource for researchers engaged in the field of OTFS.

  • REVIEW PAPER
  • REVIEW PAPER
    Yejian Lyu, Pekka Kyösti, Wei Fan
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    Due to the large amount of unused and unexplored spectrum resources, the so-called sub-Terahertz (sub-THz) frequency bands from $100$ to $300$ GHz are seen as promising bands for the next generation of wireless communication systems. Channel modeling at sub-THz bands is essential for the design and deployment of future wireless communication systems. Channel measurement is a widely adopted method to obtain channel characteristics and establish mathematical channel models. Channel measurements depend on the design and construction of channel sounders. Thus, reliable channel sounding techniques and accurate channel measurements are required. In this paper, the requirements of an ideal channel sounder are discussed and the main channel sounding techniques are described for the sub-THz frequency bands. The state-of-the-art sub-THz channel sounders reported in the literature and respective channel measurements are presented. Moreover, a vector network analyzer (VNA) based channel sounder, which supports frequency bands from $220$ to $330$ GHz is presented and its performance capability and limitation are evaluated. This paper also discussed the challenge and future outlook of the sub-THz channel sounders and measurements.

  • COMMUNICATIONS THEORIES & SYSTEMS
  • COMMUNICATIONS THEORIES & SYSTEMS
    Li Zhang, Jiaqi Liu, Can Pan, Yatao Yang
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    Polarizing beam splitter has rather significant applications in polarization diversity circuits and polarization multiplexing systems. In this paper, we present an asymmetric polarizing beam splitter utilizing hybrid plasmonic waveguide. The special hybrid structure with a hybrid waveguide and a dielectric waveguide can limit the energy of TE and TM modes to a different layer. Therefore, we can achieve beam splitting by adjusting the corresponding parameters of the two waveguides. First, we studied the influences of different structure parameters on the real part of the effective mode refractive index of the two waveguides, and obtained a set of parameters that satisfy the condition of strong coupling of TM mode and weak coupling of TE mode. Then, the performance of our proposed polarizing beam splitter is evaluated numerically. The length of the coupling section is only 4.1 $\mu\mathrm{m}$, and the propagation loss of TM and TE modes is 0.0025 $\mathrm{dB} / \mu \mathrm{m}$ and 0.0031 $\mathrm{dB} / \mu \mathrm{m}$ respectively. Additionally, the extinction ratios of TM and TE modes are 10.62 $\text { dB }$and 12.55$\text { dB }$, respectively. Particularly, the proposed device has excellent wavelength insensitivity. Over the entire C-band, the fluctuation of the whole normalized output power is less than 0.03. In short, our proposed asymmetric polarizing beam splitter features ultra-compactness, low propagation loss, and broad bandwidth, which would provide promising applications in polarization multiplexing system and polarization diversity circuits relevant to optical interconnection.
  • COMMUNICATIONS THEORIES & SYSTEMS
    Ali Asghar Haghighi
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    The minimum energy per bit (EPB) as the energy efficiency (EE) metric in an automatic retransmission request (ARQ) based multi-hop system is analyzed under power and throughput constraints. Two ARQ protocols including type-I (ARQ-I) and repetition redundancy (ARQ-RR) are considered and expressions for the optimal power allocation (PA) are obtained. Using the obtained optimal powers, the EE-throughput tradeoff (EETT) is analyzed and the EETT closed-form expressions for both ARQ protocols and in arbitrary average channel gain values are obtained. It is shown that how different throughput requirements, especially the high levels, affect the EE performance. Additionally, asymptotic analysis is made in the feasible high throughput values and lower and upper EETT bounds are derived for ARQ-I protocol. To evaluate the EE a distributed PA scenario, as a benchmark, is presented and the energy saving-gain obtained from the optimal PA in comparison with the distributed PA for ARQ-I and ARQ-RR protocols is discussed in different throughput values and node locations.
  • COMMUNICATIONS THEORIES & SYSTEMS
    Jingyu Lai, Yu Luo, Ningning Yan, Wenxing An, Kaixue Ma
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    An integration of single-layer proximity-coupling patch antenna and solar cells with bandwidth enhancement and optical energy harvesting is proposed for sustainable communication. For this purpose, many dual-function components are selected for designing the miniaturized solar cell antenna. On the one hand, by greatly affecting the current flow of the rectangular patch, vias and proximity-coupling are introduced to control the resonance modes frequency and matching, respectively, for wideband application, and the radiation performance property can be achieved by high-order mode. On the other hand, vias and proximity-coupling are beneficial to complete direct-current (DC) loop of solar cell and improve compatibility of DC-RF (radio frequency), whereas a high-order mode is beneficial to increase the area of collected light energy. To prove the working principle, fabricated and manufactured solar cell antenna. The measured and simulated results illustrate that the solar cell antenna gain is raised to as high as 9.27 dBi in 4.37 to 5.06 GHz applied to fifth generation communication (5G).
  • COMMUNICATIONS THEORIES & SYSTEMS
    Guangyu Zhu, Caili Guo, Tiankui Zhang
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    In coded caching, users cache pieces of files under a specific arrangement so that the server can satisfy their requests simultaneously in the broadcast scenario via eXclusive OR (XOR) operation and therefore reduce the amount of transmission data. However, when users' locations are changing, the uploading of caching information is frequent and extensive that the traffic increase outweighed the traffic reduction that the traditional coded caching achieved. In this paper, we propose mobile coded caching schemes to reduce network traffic in mobility scenarios, which achieve a lower cost on caching information uploading. In the cache placement phase, the proposed scheme first constructs caching patterns, and then assigns the caching patterns to users according to the graph coloring method and four color theorem in our centralized cache placement algorithm or randomly in our decentralized cache placement algorithm. Then users are divided into groups based on their caching patterns. As a benefit, when user movements occur, the types of caching pattern, rather than the whole caching information of which file pieces are cached, are uploaded. In the content delivery phase, XOR coded caching messages are reconstructed. Transmission data volume is derived to measure the performance of the proposed schemes. Numerical results show that the proposed schemes achieve great improvement in traffic offloading.
  • COMMUNICATIONS THEORIES & SYSTEMS
    Zhen Zhang, Yuxiang Zhang, Jianhua Zhang, Feifei Gao
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    In this paper, a time-varying channel prediction method based on conditional generative adversarial network (CPcGAN) is proposed for time division duplexing/frequency division duplexing (TDD/FDD) systems. CPcGAN utilizes a discriminator to calculate the divergence between the predicted downlink channel state information (CSI) and the real sample distributions under a conditional constraint that is previous uplink CSI. The generator of CPcGAN learns the function relationship between the conditional constraint and the predicted downlink CSI and reduces the divergence between predicted CSI and real CSI. The capability of CPcGAN fitting data distribution can capture the time-varying and multipath characteristics of the channel well. Considering the propagation characteristics of real channel, we further develop a channel prediction error indicator to determine whether the generator reaches the best state. Simulations show that the CPcGAN can obtain higher prediction accuracy and lower system bit error rate than the existing methods under the same user speeds.
  • COMMUNICATIONS THEORIES & SYSTEMS
    Xiaolei Huo, Wenbo Guo, Ying Liu, Hongzhi Zhao, Youxi Tang
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    Due to the mismatch of the circuit oscillators, there will always be a frequency offset between the transmitter and the receiver. In the adjacent channel interference (ACI) suppression system using the reconstruction and cancellation method, the frequency offset decreases the accuracy of the reconstructed signal and introduces a time-varying term in the interference cancellation, resulting in poor performance of the ACI suppression. In this paper, the relationship between the normalized frequency offset, signal-to-noise ratio and the loss of interference suppression capability is analyzed through formula derivation and simulation. The validity of the frequency offset compensation method based on the pilot sequence is verified, and the relationship between the sequence length and the estimation accuracy is given. This paper provides necessary method reference and data support for the engineering of ACI suppression.
  • COMMUNICATIONS THEORIES & SYSTEMS
    Fukai Li, Jian Chen, Jian Wu, Huaiyun Peng, Zhiqiang Yang
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    In terms of the electromagnetic wave measurement while drilling, the extremely low frequency electromagnetic(ELF-EM) signal below 20Hz is usually chosen as the downhole data carrier. To improve the transmission rate of ELF-EM signal and the signal to noise ratio (SNR) at the receiving end, the DQPSK modulation was proposed as the modulation method for the communication of electromagnetic wave system. Different from the traditional IQ orthogonal modulation and coherent demodulation methods, the proposed phase selection modulation and correlation algorithm demodulation are easier to implement and more practical. With regard to the communication synchronization, a fast algorithm, which based on the normalized cross-relation number, was used for waveform matching, and the maximum point of the correlation coefficient was used as the starting point of communication synchronization. The communication simulation results show that the proposed DQPSK modulation signal based on the adaptive combined filtering algorithm has better terminal error rate and transmission rate than the traditional modulation method. Under the same carrier frequency and code width, the transmission rate of DQPSK modulation is 4 to 5 times and 2 times that of PPM modulation and 2DPSK modulation respectively. The communication modulation and demodulation modes as well as the decoding algorithm with combined adaptive filter proposed in this paper can effectively solve practical engineering problems.
  • COMMUNICATIONS THEORIES & SYSTEMS
    Siyu Zhu, Cheng Chi, Yang Liu
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    With the development of blockchain technology, a variety of mutually independent blockchains such as Bitcoin and Ethereum, as well as private and consortium chains, coexist in large numbers. As a linker of the blockchain network, blockchain interoperability will link more blockchain ecosystems, realize the interconnection of the blockchain and enhance the scalability of the blockchain. This paper summarizes typical blockchain interoperability projects. Firstly, it proposes a blockchain interoperability definition and an architecture model. Secondly, it analyzes technical characteristics of blockchain interoperability, and typical blockchain interoperability cases are compared. Finally, the trend of future development of blockchain interoperability technology is summarized and discussed.
  • COMMUNICATIONS THEORIES & SYSTEMS
    Yinliang Qiu, Jing Wang, Zhiyu Li
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    This paper proposes a personalized head-related transfer function (HRTF) prediction method based on LightGBM using anthropometric data. Considering the overfitting problems of the current training-based prediction methods, we use LightGBM and a specific network structure to prevent over-fitting and enhance the prediction performance. By decomposing and combining the data to be predicted, we set up 90 LightGBM models to separately predict the 90 instants of HRTF in log domain. At the same time, the method of 10-fold cross-validation is used to score the accuracy of the model. For models with scores below 80 points, Bayesian optimization is used to adjust model hyperparameters to obtain a better model structure. The results obtained by LightGBM are evaluated with spectral distortion (SD) which can show the fitting error between the prediction and the original data. The mean SD values of both ears on the whole test set are 2.32 dB and 2.28 dB respectively. Compared with the non-linear regression method and the latest method, SD value of LightGBM-based method relatively decreases by 83.8% and 48.5%.
  • SIGNAL PROCESSING
  • SIGNAL PROCESSING
    Fukai Li, Jian Wu, Jian Chen, Huaiyun Peng, Yehuo Fan
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    In the electromagnetic wave measurement while drilling (EM MWD), the extra low frequency electromagnetic wave (ELF-EM) below 20Hz was usually chosen as the carrier because of its transmission characteristics in the formation. However, as the drilling depth increases, the electromagnetic wave signals received on the ground gradually weaken, becoming lower than a certain signal-to-noise ratio (SNR) and making it impossible to be decoded or transmitted. The attenuation of electromagnetic wave in the formation is definitely one of the causes , but what matters more is the influence of environment noise at the well site, especially the in-band interference noise and random noise. Targeting at the out-of-band noise, the bandpass filter, which is invalid to the in-band noise, can be used to eliminate the noise out of the carrier's main band. To cope with the question, an algorithm based on the human-computer interaction detection (HCID) was proposed in this paper that improves the SNR of ELF-EM signals, with the effective transmission distance of EM MWD increased. In this paper, the validity of the proposed HCID algorithm was verified through communication processing performance simulation and field data comparison, thus providing a reference for engineers and technicians in this field. Theoretical analysis and experimental data verification show that the combined algorithm decodes effectively under the in-band interference noise of -80dB SNR and in-band random noise of -17dB SNR.
  • SIGNAL PROCESSING
    Yan Tang, Zhijin Zhao, Jie Chen, Shilian Zheng, Xueyi Ye, Caiyi Lou, Xiaoniu Yang
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    To improve the recognition ability of communication jamming signals, Siamese Neural Network-based Open World Recognition (SNN-OWR) is proposed. The algorithm can recognize known jamming classes, detect new (unknown) jamming classes, and unsupervised cluseter new classes. The network of SNN-OWR is trained supervised with paired input data consisting of two samples from a known dataset. On the one hand, the network is required to have the ability to distinguish whether two samples are from the same class. On the other hand, the latent distribution of known class is forced to approach their own unique Gaussian distribution, which is prepared for the subsequent open set testing. During the test, the unknown class detection process based on Gaussian probability density function threshold is designed, and an unsupervised clustering algorithm of the unknown jamming is realized by using the prior knowledge of known classes. The simulation results show that when the jamming-to-noise ratio is more than 0dB, the accuracy of SNN-OWR algorithm for known jamming classes recognition, unknown jamming detection and unsupervised clustering of unknown jamming is about 95%. This indicates that the SNN-OWR algorithm can make the effect of the recognition of unknown jamming be almost the same as that of known jamming.
  • SIGNAL PROCESSING
    Xiaoyu Ma, Suiyu Zhang, Chang Liu, Dingguo Yu
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    Blind image quality assessment (BIQA) is of fundamental importance in low-level computer vision community. Increasing interest has been drawn in exploiting deep neural networks for BIQA. Despite of the notable success achieved, there is a broad consensus that training deep convolutional neural networks (DCNN) heavily relies on massive annotated data. Unfortunately, BIQA is typically a small sample problem, resulting the generalization ability of BIQA severely restricted. In order to improve the accuracy and generalization ability of BIQA metrics, this work proposed a totally opinion-unaware BIQA in which no subjective annotations are involved in the training stage. Multiple full-reference image quality assessment (FR-IQA) metrics are employed to label the distorted image as a substitution of subjective quality annotation. A deep neural network (DNN) is trained to blindly predict the multiple FR-IQA score in absence of corresponding pristine image. In the end, a self-supervised FR-IQA score aggregator implemented by adversarial auto-encoder pools the predictions of multiple FR-IQA scores into the final quality predicting score. Even though none of subjective scores are involved in the training stage, experimental results indicate that our proposed full reference induced BIQA framework is as competitive as state-of-the-art BIQA metrics.
  • SIGNAL PROCESSING
    Lixia Xiao, Xiaodan Zhai, Yangyang Liu, Guanghua Liu, Pei Xiao, Tao Jiang
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    Gray mapping is a well-known way to improve the performance of regular constellation modulation, but it is challenging to be applied directly for irregular alternative. To address this issue, in this paper, a unified bit-to-symbol mapping method is designed for generalized constellation modulation (i.e., regular and irregular shaping). The objective of the proposed approach is to minimize the average bit error probability by reducing the hamming distance (HD) of symbols with larger values of pairwise error probability. Simulation results show that the conventional constellation modulation(i.e., phase shift keying and quadrature amplitude modulation (QAM) with the proposed mapping rule yield the same performance as that of classical gray mapping. Moreover, the recently developed golden angle modulation (GAM) with the proposed mapping method is capable of providing around 1 dB gain over the conventional mapping counterpart and offers comparable performance to QAM with Gray mapping.
  • SIGNAL PROCESSING
    Honglin Yuan, Yan Yan, Guoan Zhang, Zhihua Bao
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    Radio Frequency (RF) fingerprinting is one physical-layer authentication method for wireless communication, which uses the unique hardware characteristic of the transmitter to identify its true identity. To improve the performance of RF Fingerprint (RFF) based on preamble with fixed duration, a nonlinear RF fingerprinting method based on payload symbols is proposed for the wireless OFDM communication with the bit mapping scheme of QPSK. The wireless communication system is modeled as a Hammerstein system containing the nonlinear transmitter and multipath fading channel. A parameter separation technique based on orthogonal polynomial is presented for the estimation of the parameters of the Hammerstein system. The Hammerstein system parameter separation technique is firstly used to estimate the linear parameter with the training signal, which is used to compensate the adverse effect of the linear channel for the demodulation of the successive payload symbols. The demodulated payload symbols are further used to estimate the nonlinear coefficients of the transmitter with the Hammerstein system parameter separation technique again, which is used as the novel RFF for the authentication of the QPSK-OFDM device. Numerical simulations have verified the proposed method, which can also be extended to the OFDM signals with other bit mapping schemes.
  • EMERGING TECHNOLOGIES & APPLICATIONS
  • EMERGING TECHNOLOGIES & APPLICATIONS
    Yang Yang, Fan Zhang, Zhiming Zeng, Julian Cheng, Caili Guo
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    When there is an increasing interest in visible light communication (VLC), outdoor vehicle VLC has emerged as a promising candidate technology for future intelligent transportation systems. However, in VLC based vehicular applications, several challenges impede successful commercial application of VLC based products. This article first provides a thorough overview of the existing challenges. To overcome these challenges, we propose a novel architecture with tracking and environment sensing ability for practical vehicular applications. Moreover, a proof-of-concept prototype is implemented to validate the feasibility of the proposed system. Experimental and simulation results show that the proposed VLC system can provide reliable communications with a bit-error rate less than $10^{-4}$ for vehicles under strong interference lights. Finally, based on the evaluations, we propose some key design issues for future studies in this research area.
  • EMERGING TECHNOLOGIES & APPLICATIONS
    Xiao Ma, Liang Wang, Weijia Han, Xijun Wang, Tingting Shang
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    With the explosive increasing number of connecting devices such as smart phones, vehicles, drones, and satellites in the wireless networks, how to manage and control such a huge number of networking nodes has become a great challenge. In this paper, we combine the advantages of centralized networks and distributed networks approaches for vehicular networks with the aid of Unmanned Aerial Vehicle (UAV), and propose a Center-controlled Multi-hop Wireless (CMW) networking scheme consisting of data transmission plane performed by vehicles and the network control plane implemented by the UAV. Besides, we jointly explore the advantages of Medium Access Control (MAC) protocols in the link layer and routing schemes in the network layer to facilitate the multi-hop data transmission for the ground vehicles. Particularly, the network control plane in the UAV can manage the whole network effectively via fully exploiting the acquired network topology information and traffic requests from each vehicle, and implements various kinds of control based on different traffic demands, which can enhance the networking flexibility and scalability significantly in vehicular networks. Simulation results validate the advantages of the proposed scheme compared with existing methods.
  • EMERGING TECHNOLOGIES & APPLICATIONS
    Boyu Hua, Tongtong Zhou, Qiuming Zhu, Kai Mao, Junwei Bao, Weizhi Zhong
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    Considering the unmanned aerial vehicle (UAV) three-dimensional (3D) posture, a novel 3D non-stationary geometry-based stochastic model (GBSM) is proposed for multiple-input multiple-output (MIMO) UAV-to-vehicle (U2V) channels. It consists of a line-of-sight (LoS) and non-line-of-sight (NLoS) components. The factor of fuselage posture is considered by introducing a time-variant 3D posture matrix. Some important statistical properties, i.e. the temporal autocorrelation function (ACF) and spatial cross correlation function (CCF), are derived and investigated. Simulation results show that the fuselage posture has significant impact on the U2V channel characteristic and aggravate the non-stationarity. The agreements between analytical, simulated, and measured results verify the correctness of proposed model and derivations. Moreover, it is demonstrated that the proposed model is also compatible to the existing GBSM without considering fuselage posture.
  • EMERGING TECHNOLOGIES & APPLICATIONS
    Tiankui Zhang, Chao Chen, Dingcheng Yang
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    Cache-enabling unmanned aerial vehicles (UAVs) are considered for storing popular contents and providing downlink data offloading in cellular networks. In this context, we formulate a joint optimization problem of user association, caching placement, and backhaul bandwidth allocation for minimizing content acquisition delay with consideration of UAVs' energy constraint. We decompose the formulated problem into two subproblems: i) user association and caching placement and ii) backhaul bandwidth allocation. We first obtain the optimal bandwidth allocation with given user association and caching placement by the Lagrangian multiplier approach. After that, embedding the backhaul bandwidth allocation algorithm, we solve the user association and caching placement problem by a three-dimensional (3D) matching method. Then we decompose it into two two-dimensional (2D) matching problems and develop low-complexity algorithms. The proposed scheme converges and exhibits a low computational complexity. Simulation results demonstrate that the proposed cache-enabling UAV framework outperforms the conventional UAV-assisted cellular networks in terms of content acquisition delay and the proposed scheme achieves significantly lower content acquisition delay compared with other two benchmark schemes.
  • EMERGING TECHNOLOGIES & APPLICATIONS
    Wei He, Yejun He, Long Zhang, Jun Hong, Haixia Cui, Amir Boag
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    In this paper, a new compact ultra-wideband (UWB) circularly polarized (CP) antenna array for vehicular communications is proposed. The antenna array consists of a 2 $\times$ 2 sequentially rotated T-shaped cross dipole, four parasitic elements, and a feeding network. By loading the T-shaped cross dipoles with parasitic rectangular elements with cut corners, the bandwidth can be expanded. On this basis, the radiation pattern can be improved by the topology with sequential rotation of four T-shaped cross-dipole antennas, and the axial ratio (AR) bandwidth of the antenna also can be further enhanced. In addition, due to the special topology that the vertical arms of all T-shaped cross dipoles are all oriented toward the center of the antenna array, the gain of proposed antenna is improved while the size of the antenna is almost the same as the traditional cross dipole. Simulated and measured results show that the proposed antenna has good CP characteristics, an impedance bandwidth for $S_{11}$$<$-10 dB of about 106.1% (3.26:1, 1.57-5.12 GHz) and the 3-dB AR bandwidth of about 104.1% (3.17:1, 1.57-4.98 GHz), a wide 3-dB gain bandwidth of 73.3% as well as the peak gain of 8.6 dBic at 3.5 GHz. The overall size of antenna is 0.56$\lambda$ $\times$ 0.56$\lambda$ $\times$ 0.12$\lambda$ ($\lambda$ refers to the wavelength of the lowest operating frequency in free space). The good performance of this compact UWB CP antenna array is promising for applications in vehicular communications.
  • EMERGING TECHNOLOGIES & APPLICATIONS
    Fei Zheng, Zhao Pi, Zou Zhou, Miao Ye, Hongbing Qiu
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    Low Earth orbit (LEO) satellite systems provide terrestrial users with services that are not limited by geographical location. However, the conflict between existing allocation schemes and the business variability between beams is becoming increasingly prominent. Beam hopping technology allows for a more flexible and versatile approach to satellite resource allocation. This paper proposes a beam hopping pattern optimization scheme that jointly considers the interference threshold distance and beam service priority, reducing the inter-beam co-channel interference (CCI). In the cluster area, a non-orthogonal multiple access (NOMA)-based collaborative beam hopping (NCBH) scheme is proposed to minimize the cell-edge user (CEU) interference. Since there is a difference in channel gain between the CEU and cell-center user (CCU), this scheme forms a NOMA cluster to perform power domain multiplexing and formulates a NOMA cluster pairing strategy according to the user location to reduce the CCI of the CEU. After NOMA cluster pairing, the optimal carrier frequency of the NOMA cluster is selected by a reinforcement learning algorithm. The simulation results verify the excellent performance of the proposed NCBH scheme regarding the user's received power, transmission rate, and outage probability.
  • EMERGING TECHNOLOGIES & APPLICATIONS
    Fan Xu, Shuo Shao, Meixia Tao, Qin Huang, Qifa Yan, Xiaohu Tang
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    With the development of astronautic technology, communication satellites now have a tremendous gain in both quantity and quality, and have already shown their capability on multi-functional converged communication other than telecommunication. Under this circumstance, increasing the transmission efficiency of satellite communication network becomes a top priority. In this paper, we focus on content delivery service on satellite networks, where each ground station may have prefetched some file fragments. We cast this problem into a coded caching framework so as to exploit the coded multicast gain for minimizing the satellite communication load. It can accommodate the coded multicast messages of satellites to maximize the multicast gain, and hence the communication load can be reduced.We first propose an optimization-based coded multicast scheme by considering the special property that the satellite network topology is predictable and time-variant. Then, a greedy based fast algorithm is proposed, which can tremendously reduce the computation complexity with a small loss in optimality. Simulation experiments conducted on two Walker constellation satellite networks show that our proposed coded multicast method can efficiently reduce the communication load of satellite networks.
  • EMERGING TECHNOLOGIES & APPLICATIONS
    Sisi Li, Yong Zhang, Siyu Yuan, Tengteng Ma
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    Heterogeneous base station deployment enables to provide high capacity and wide area coverage. Network slicing makes it possible to allocate wireless resource for heterogeneous services on demand. These two promising technologies contribute to the unprecedented service in 5G. We establish a multi-service heterogeneous network model, which aims to raise the transmission rate under the delay constraints for active control terminals, and optimize the energy efficiency for passive network terminals. A policy-gradient-based deep reinforcement learning algorithm is proposed to make decisions on user association and power control in the continuous action space. Simulation results indicate the good convergence of the algorithm, and higher reward is obtained compared with other baselines.