Design and Analysis of Coded Caching Schemes in Stochastic Wireless Networks

Gu, Yixiao; Yang, Chenchen; Xia, Bin; Xu, Dingjie

doi:10.1109/twc.2021.3100065

Cited by 4 publications

(2 citation statements)

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“…To address this shortcoming, a congestion control technique was proposed in [34] to avoid serving users in adverse channel conditions, and multiple descriptor codes (MDC) were utilized in [35] to serve ill-conditioned users with a lower quality of experience (QoE). Similarly, a stochastic CC model considering queue minimization and packet control was introduced in [36], and joint power minimization and scheduling over a wireless CC network for delay-constrained applications was also proposed in [37]. Using a different perspective, it was discussed in [38] that as long as user mobility patterns were known at the server, different cache profiles could be assigned to multiple cache-enabled helper nodes scattered throughout the environment to improve the CC transmission rate.…”

Section: A Prior Artmentioning

confidence: 99%

Multi-Antenna Coded Caching for Location-Dependent Content Delivery

Mahmoodi

Salehi

Tölli

2024

IEEE Trans. Wireless Commun.

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Human-computer interaction continuously evolves towards a genuinely immersive experience, submerging users in a three-dimensional (3D) virtual world. A realistic, immersive experience necessitates a highly reliable and agile wireless connection to support immense data transmission. Yet, there are abundant but underutilized memory resources available at the devices which can be harnessed as supplementary assets to reduce the excessive burden on the wireless medium. What is more, the use of Coded Caching (CC) techniques enables the cumulative cache memory of users in the network to be used as an additional communication resource. To this end, a location-dependent multi-antenna CC-based content delivery scheme tailored specifically for wireless extended reality applications is proposed in this paper. First, a novel memory allocation process is developed, enabling an appropriate trade-off between local and global caching gains. In this regard, the local caching gain is maximized when the memory is mostly dedicated to locations with poor connectivity conditions (absolute fairness). In contrast, the global caching gain is maximized when the memory is uniformly allocated among all the locations. As a result of the memory allocation process, unequal fractions of location-dependent multimedia content are cached by each user. Given the asymmetric cache placement, a novel algorithm is proposed to create suitable codewords for each user during the subsequent delivery phase, which simultaneously achieves a global and local caching gain. The proposed delivery scheme also combines global caching and spatial multiplexing gains using a weighted max-min multicast beamformer design with multi-rate modulation. Numerical experiments and mathematical analysis demonstrate significant performance gains, in terms of the 95-percentile expected delivery time, compared to unicast and multicast scenarios where either the local or global caching gain is maximized.

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Section: A Prior Artmentioning

confidence: 99%

Multi-Antenna Coded Caching for Location-Dependent Content Delivery

Mahmoodi

Salehi

Tölli

2024

IEEE Trans. Wireless Commun.

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“…To address this issue, a congestion control technique is proposed in [49] with the intention of avoiding serving users that experience adverse channel conditions altogether. Similar scheduling approaches are also proposed in [50], [51], where joint queue minimization and packet control, as well as power minimization and scheduling, are considered for delay-constrained CC applications. In another work [52], a CC scheme with partial codewords (i.e., with a smaller number of data terms in the codeword compared to the baseline CC scheme of [53]) is introduced to adjust the user-specific quality of experience (QoE) based on their current channel conditions.…”

Section: Introductionmentioning

confidence: 99%

Low-Complexity Multi-Antenna Coded Caching Using Location-Aware Placement Delivery Arrays

Bakhshzad Mahmoodi,

Salehi,

Tölli

2024

IEEE Trans. Wireless Commun.

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A location-aware multi-antenna coded caching scheme is proposed for applications with location-dependent data requests, such as wireless immersive experience, where users are immersed in a three-dimensional virtual world. The wireless connectivity conditions vary as the users move within the application area motivating the use of a non-uniform cache memory allocation process to avoid excessive delivery time for users located in wireless bottleneck areas. To this end, a locationaware placement and delivery array (LAPDA) is designed for cache-aided multiantenna data delivery with a fast converging, iterative linear beamforming process. The underlying weighted max-min transmit precoder design enables the proposed scheme to serve users in poor connectivity areas with smaller amounts of data while simultaneously delivering larger amounts to other users. Our new scheme is suitable for large networks due to its linear transceiver structure and it is not constrained by the number of users, cache size, or the number of antennas at the transmitter, unlike the existing schemes. Despite non-uniform cache placement, the proposed scheme still achieves a significant degree of coded caching gain that is additive to the multiplexing gain and greatly outperforms the conventional symmetric CC schemes in terms of both average and 95-percentile delivery time.

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