Article
Computer Science, Hardware & Architecture
Rong Sun, Huihui Zheng, Jingwei Liu
Summary: This study introduces novel cache placement and delivery schemes for fog-aided networks, utilizing coding techniques to reduce transmission load and alleviate network congestion. The impact of cache memories on transmission time is analyzed, showing that centralized schemes outperform decentralized ones for both parallel and successive delivery. Increasing memories of relays and users lead to decreased transmission load, and when total memory can store the file library, the need for a server in delivery phase is eliminated.
Article
Computer Science, Information Systems
Shushi Gu, Zichao Yu, Qinyu Zhang, Tao Huang
Summary: With the rapid development of future networks, the desire for low-energy system design and transmission strategy becomes more compelling. This letter investigates the energy consumption issue of hierarchical cooperative caching networks (HCCNs) and proposes a three-stage coded transmission strategy. A total energy consumption minimization problem is formulated with cache size constraints, and an algorithm is provided to obtain the optimal cache placement matrix. Numerical results demonstrate the effectiveness of the optimized three-stage coded transmission strategy in reducing energy consumption compared to various multicast transmission strategies under different users' cache sizes.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2023)
Article
Computer Science, Information Systems
Ting Yang, Kai Wan, Minquan Cheng, Robert Caiming Qiu, Giuseppe Caire
Summary: This paper discusses the cache-aided multiple-input single-output (MISO) broadcast channel, where a server with L antennas and K single-antenna users stores N files and each user has a cache of M files. The objective is to design a coded caching scheme that achieves the maximum sum Degree-of-Freedom (sum-DoF) with low subpacketization. The proposed scheme, based on a new combinatorial structure called multiple-antenna placement delivery array (MAPDA) and Latin square, achieves the maximum sum-DoF with reduced subpacketization compared to existing schemes.
IEEE TRANSACTIONS ON INFORMATION THEORY
(2023)
Article
Engineering, Electrical & Electronic
Kai Wan, Minquan Cheng, Mari Kobayashi, Giuseppe Caire
Summary: Caching at the wireless edge nodes is an efficient way to improve network efficiency. This paper proposes a solution for the coded caching problem based on location-based content. The proposed scheme can effectively reduce network load and enhance communication efficiency.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Telecommunications
Monolina Dutta, Anoop Thomas
Summary: This study focuses on addressing network congestion caused by temporal variance in client demands in the client-server framework, and proposes a decentralized shared caching scheme. The proposed scheme, utilizing index coding techniques, is shown to be optimal among all linear schemes, achieving a comparable rate to existing centralized prefetching schemes.
IEEE COMMUNICATIONS LETTERS
(2021)
Article
Engineering, Electrical & Electronic
Hui Zhao, Antonio Bazco-Nogueras, Petros Elia
Summary: The recent introduction of vector coded caching has shown that multi-rank transmissions with receiver-side cache content can greatly improve the file-size bottleneck of coded caching and enhance performance in error-free channels. This study uses large-matrix analysis to investigate the impact of vector coded caching in realistic wireless multi-antenna downlink systems. The results demonstrate significant gains in throughput and channel hardening, surpassing traditional cacheless systems by a large margin.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Physics, Multidisciplinary
Kai Wan, Hua Sun, Mingyue Ji, Daniela Tuninetti, Giuseppe Caire
Summary: Coded caching, proposed by Maddah-Ali and Niesen, aims to reduce network traffic by storing content in users' local memories and transmitting coded multicast messages. This paper considers the linear function retrieval version of coded caching and designs a novel scheme that outperforms uncoded caching schemes.
Article
Computer Science, Information Systems
Zizhen Zhou, Bowen Cai, Jie Chen, Ying-Chang Liang
Summary: This letter addresses the channel estimation problem for RIS-aided MISO systems by optimizing dictionary parameters and sparse signal recovery to enhance the representation and estimation performance of sparse channels.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2022)
Article
Physics, Multidisciplinary
Behrouz Zolfaghari, Vikrant Singh, Brijesh Kumar Rai, Khodakhast Bibak, Takeshi Koshiba
Summary: Network caching aims to reduce network traffic during peak hours by transmitting frequently-requested items to end users during off-peak hours. Coded caching further reduces peak hour traffic by sending coded content that can be decoded in different ways by different users. Research works in this area typically use a simple network topology, but more complex systems combining throughput and security considerations have shown promising results in achieving rates close to minimum secure rates.
Article
Engineering, Electrical & Electronic
Muhammad Norfauzi Dani, Daniel K. C. So, Jie Tang, Zhiguo Ding
Summary: This paper investigates the performance comparison of non-orthogonal multiple access (NOMA) and coded multicasting under different user pairing scenarios. A hybrid delivery scheme is proposed to select the appropriate transmission technique based on the channel conditions of the users.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Telecommunications
Elizabath Peter, B. Sundar Rajan
Summary: This paper considers the multi-antenna shared cache setup and proposes a multi-antenna coded caching scheme for the shared cache setting with more diverse user-to-cache associations. The proposed scheme achieves the same performance as some optimal schemes under certain scenarios.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Computer Science, Information Systems
Xing Jia, Jiancheng An, Hao Liu, Hongshu Liao, Lu Gan, Chau Yuen
Summary: Reconfigurable intelligent surface (RIS) is a groundbreaking technology that can customize wireless channels and improve energy efficiency in next-generation cellular networks. This study proposes an environment-aware codebook design using statistical channel state information (CSI) for RIS-assisted multiple-input single-output (MISO) systems. By generating multiple virtual channels offline and designing an environment-aware reflection coefficient codebook, the proposed scheme simplifies reflection optimization while optimizing transmit beamforming for each reflection coefficient in the pre-designed codebook. Theoretical analysis and numerical results demonstrate the performance benefits of the proposed scheme over existing methods in the presence of channel estimation errors, with reduced overhead and complexity.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2023)
Article
Computer Science, Information Systems
Hamidreza Bakhshzad Mahmoodi, Jarkko Kaleva, Seyed Pooya Shariatpanahi, Antti Tolli
Summary: This article proposes a device-to-device (D2D) aided multi-antenna coded caching scheme to improve the average delivery rate and reduce the downlink beamforming complexity. Novel beamforming and resource allocation schemes are introduced, leveraging local data exchange among nearby users. The transmission is divided into two phases: local D2D content exchange and DL transmission. The results demonstrate that adding a D2D phase can significantly reduce the beamformer design complexity in the DL phase, leading to enhanced content delivery performance.
Article
Physics, Multidisciplinary
Zhenhao Huang, Jiahui Chen, Xiaowen You, Shuai Ma, Youlong Wu
Summary: This paper proposes two novel coded caching schemes that utilize edge cache resources and communication opportunities to significantly reduce transmission latency. The research shows that the centralized coded caching scheme is order-optimal, while the decentralized coded caching scheme is also order-optimal under certain conditions.
Article
Computer Science, Information Systems
Yong Deng, Min Dong
Summary: This paper investigates the caching system for multiple cache-enabled users with random demands. It characterizes the optimal uncoded cache placement structure for the coded caching scheme (CCS) under nonuniform file popularity. The study shows that the optimal cache placement has at most three file groups, and proposes a simple algorithm to obtain the final optimal cache placement. Furthermore, it analyzes the file subpacketization in CCS with the optimal cache placement solution.
IEEE TRANSACTIONS ON INFORMATION THEORY
(2022)
Article
Computer Science, Information Systems
Antonio Bazco-Nogueras, Paul de Kerret, David Gesbert, Nicolas Gresset
IEEE WIRELESS COMMUNICATIONS LETTERS
(2019)
Article
Computer Science, Information Systems
Antonio Bazco-Nogueras, Paul de Kerret, David Gesbert, Nicolas Gresset
IEEE TRANSACTIONS ON INFORMATION THEORY
(2020)
Article
Computer Science, Information Systems
Antonio Bazco-Nogueras, Paul de Kerret, David Gesbert, Nicolas Gresset
Summary: This paper analyzes the high-SNR regime of the M x K Network MISO channel where each transmitter has access to a different channel estimate. The study shows that, in some cases, this setting can achieve the same Degrees-of-Freedom as the ideal centralized setting. By analyzing the affine approximation of the rate, it is found that, in certain antenna configurations, the same achievable rate as the ideal centralized scenario can be asymptotically attained.
IEEE TRANSACTIONS ON INFORMATION THEORY
(2022)
Article
Engineering, Electrical & Electronic
Hui Zhao, Antonio Bazco-Nogueras, Petros Elia
Summary: This paper addresses the bottleneck of worst-user in wireless coded caching and proposes a novel scheme to recover the caching gains by utilizing the shared side information brought about by the file-size constraint. The worst-user effect is replaced by the effect of worst-group-of-users, which is fixed before the channel or the demands are known. The proposed scheme can be applied to other coded caching schemes and scenarios in the future.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Francesco Spinelli, Antonio Bazco-Nogueras, Vincenzo Mancuso
Summary: This research aims to design a scheme compatible with 5G and beyond network slicing principles to support gaming at the edge of the cellular network. By solving a complex optimization problem, we propose an efficient heuristic algorithm that performs well in practical scenarios.
COMPUTER COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Hui Zhao, Antonio Bazco-Nogueras, Petros Elia
Summary: The recent introduction of vector coded caching has shown that multi-rank transmissions with receiver-side cache content can greatly improve the file-size bottleneck of coded caching and enhance performance in error-free channels. This study uses large-matrix analysis to investigate the impact of vector coded caching in realistic wireless multi-antenna downlink systems. The results demonstrate significant gains in throughput and channel hardening, surpassing traditional cacheless systems by a large margin.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Proceedings Paper
Computer Science, Theory & Methods
Hui Zhao, Antonio Bazco-Nogueras, Petros Elia
Summary: This paper analyzes the performance of vector coded caching in the massive MIMO regime and derives upper and lower bounds for the delivery speed-up gain. The study shows that allowing users to cache a practical amount of data in realistic settings can lead to significant improvements.
2022 IEEE 23RD INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATION (SPAWC)
(2022)
Proceedings Paper
Telecommunications
Hui Zhao, Antonio Bazco-Nogueras, Petros Elia
Summary: The study shows that coded caching gains in land mobile-satellite (LMS) systems are partially preserved even in low signal-to-noise ratio (SNR) scenarios. This is mainly due to the existence of line-of-sight (LOS) components, allowing for the doubling of LMS communication goodput at low SNR. These findings highlight the potential of coded caching in LMS systems and suggest the need for further research to develop adapted and practical coded caching schemes for LMS systems.
IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022)
(2022)
Proceedings Paper
Computer Science, Information Systems
Hui Zhao, Antonio Bazco-Nogueras, Petros Elia
Summary: This work addresses the worst-user bottleneck of coded caching by proposing a novel scheme that can completely recover the caching gains, effectively ameliorating the worst-user effect.
2020 IEEE INFORMATION THEORY WORKSHOP (ITW)
(2021)
Proceedings Paper
Computer Science, Information Systems
Antonio Bazco-Nogueras, Petros Elia
Summary: The study addresses a problem in the broadcast channel, focusing on the cache-aided PN problem and determining the optimal rate-memory trade-off under certain conditions.
2020 IEEE INFORMATION THEORY WORKSHOP (ITW)
(2021)
Proceedings Paper
Computer Science, Theory & Methods
Hui Zhao, Antonio Bazco-Nogueras, Petros Elia
Summary: The study focuses on the use of coded caching in a single-cell downlink scenario, revealing that the original scheme's benefits are reduced due to varying path-loss among users. However, the utilization of shared caches can recover most of the gains. Tight approximations for average user rate and coded caching gain are derived through high-SNR approximation, which remain accurate even at low SNR levels. Simulation results validate the findings across various user settings.
2021 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT)
(2021)
Proceedings Paper
Computer Science, Theory & Methods
Antonio Bazco-Nogueras, Arash Davoodi, Paul de Kerret, David Gesbert, Nicolas Gresset, Syed Jafar
2020 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT)
(2020)
Proceedings Paper
Computer Science, Information Systems
Antonio Bazco-Nogueras, Lorenzo Miretti, Paul de Kerret, David Gesbert, Nicolas Gresset
2019 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT)
(2019)
Proceedings Paper
Computer Science, Theory & Methods
Antonio Bazco, Paul de Kerrett, David Gesbert, Nicolas Gresset
2017 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT)
(2017)