28 research outputs found
Reduced complexity multicast beamforming and group assignment schemes for multi-antenna coded caching
Abstract. In spite of recent advancements in wireless communication technologies and data delivery networks, it is unlikely that the speeds supported by these networks will be able to keep up with the exponentially increasing demand caused by the widespread adoption of high-speed and large-data applications. One appealing idea proposed to address this issue is coded caching, which is an innovative data delivery technique that makes use of the networkβs aggregate cache rather than the individual memory available to each user. This proposed idea of coded caching helps boost the data rates by distributing cache material throughout the network and delivering independent content to many users at a time. Despite the original theoretical promises for large caching gains, in reality, coded caching suffers from severe bottlenecks that dramatically limit these gains. Some of these bottlenecks are requiring complex successive interference cancellation (SIC) at the receiver, exponential increase in subpacketization, applicability to a limited range of input parameters, and performance losses in low- and mid- signal to noise ratio (SNR) regimes. In this study, we present a novel coded caching scheme based on user grouping for cache-aided multi-input single-output (MISO) networks. One special property of this new scheme is its applicability to every set of input values for the user count (), transmitter-side antenna count (), and the global coded caching gain (). Moreover, for a fixed , this scheme can achieve theoretical sum-DoF optimality with no limitations. This strategy yields superior performance in terms of subpacketization when input parameters satisfy . This performance boost is enabled by the underlying user grouping structure during data delivery. However, when input parameters do not comply with , in order to guarantee symmetry of the scheme and optimal DoF, multicast and unicast messages need to be constructed using a tree diagram, resulting in excess subpacketization and transmission count. Nevertheless, the simple receiver structure without the SIC requirement not only simplifies the implementation complexity but also enables us to use state-of-the-art methods to readily design optimized transmit beamformers maximizing the achievable symmetric rate. Finally, we use numerical analysis to compare our new proposed scheme with well-known coded caching schemes in the literature
Coded Caching Scheme for Partially Connected Linear Networks Via Multi-antenna Placement Delivery Array
In this paper, we study the coded caching scheme for the
partially connected linear network, where
there are files each of which has an equal size, transmitters and
users; each user and transmitter caches at most and
files respectively; each user cyclically communicates with
transmitters. The goal is to design caching and delivery schemes to reduce the
transmission latency measured by the metric normalized delivery time (NDT). By
delicately designing the data placement of the transmitters and users according
to the topology, we show that a combinatorial structure called multiple-antenna
placement delivery array (MAPDA), which was originally proposed for the
multiple-input single-output broadcast channels, can be also used to design
schemes for the partially connected linear network. Then, based on existing
MAPDAs and our constructing approach, we propose new schemes that achieve the
optimal NDT when and smaller NDT than that
of the existing schemes when (,
) or (). Moreover, our schemes operate in one-shot
linear delivery and significantly reduce the subpacketizations compared to the
existing scheme, which implies that our schemes have a wider range of
applications and lower complexity of implementation.Comment: 13 page