Latency optimization for D2D-enabled parallel mobile edge computing in cellular networks

Edge offloading, including offloading to edge base stations (BS) via cellular links and to idle mobile users (MUs) via device-to-device (D2D) links, has played a vital role in achieving ultra-low latency characteristics in 5G wireless networks. This paper studies an offloading method of parallel communication and computation to minimize the delay in multi-user systems. Three different scenarios are explored, i.e., full offloading, partial offloading, and D2D-enabled partial offloading. In the full offloading scenario, we find a serving order for the MUs. Then, we jointly optimize the serving order and task segment in the partial offloading scenario. For the D2D-enabled partial offloading scenario, we decompose the problem into two subproblems and then find the sub-optimal solution based on the results of the two subproblems. Finally, the simulation results demonstrate that the offloading method of parallel communication and computing can significantly reduce the system delay, and the D2D-enabled partial offloading can further reduce the latency.

Latency Optimization for D2D-Enabled Parallel Mobile Edge Computing in Cellular Networks

Edge offloading, including offloading to edge base stations (BS) via cellular links and to idle mobile users (MUs) via device-to-device (D2D) links, has played a vital role in achieving ultra-low latency characteristics in 5G wireless networks. This paper studies an offloading method of parallel communication and computation to minimize the delay in multi-user systems. Three different scenarios are explored, i.e., full offloading, partial offloading, and D2D-enabled partial offloading. In the full offloading scenario, we find a serving order for the MUs. Then, we jointly optimize the serving order and task segment in the partial offloading scenario. For the D2D-enabled partial offloading scenario, we decompose the problem into two subproblems and then find the optimal solution based on the results of the two subproblems. Finally, the simulation results demonstrate that the offloading method of parallel communication and computing can significantly reduce the system delay, and the D2D-enabled partial offloading can further reduce the latency.

Latency Optimization for D2D-Enabled Parallel Mobile Edge Computing in Cellular Networks

Edge offloading, including offloading to edge base stations (BS) via cellular links and to idle mobile users (MUs) via device-to-device (D2D) links, has played a vital role in achieving ultra-low latency characteristics in 5G wireless networks. This paper studies an offloading method of parallel communication and computation to minimize the delay in multi-user systems. Three different scenarios are explored, i.e., full offloading, partial offloading, and D2D-enabled partial offloading. In the full offloading scenario, we find a serving order for the MUs. Then, we jointly optimize the serving order and task segment in the partial offloading scenario. For the D2D-enabled partial offloading scenario, we decompose the problem into two subproblems and then find the optimal solution based on the results of the two subproblems. Finally, the simulation results demonstrate that the offloading method of parallel communication and computing can significantly reduce the system delay, and the D2D-enabled partial offloading can further reduce the latency.

Throughput Enhancement of Continuous Time Replication Strategy using Multicast GALS in NoCs

The network-on-Chip (NoC) design is the modern development in communication as the integration of the multiple network blocks in a single chip. Before the NoC, system on chip (SoC) was implemented. Development in the day to day the features were added to overcome the SoC like potential of the system on chip, operation frequencies, wiring congestion and size of the chip etc., as the SoC has the long sensitive path which shows the impact on the size of the chip. In wiring congestion: Routing a particular data with SoC requires lot of wirings. Coming to the NoC also developed in packet transferring from source to destination. Serial communication were first used to transfer as it take much time to transfer the data packets from the source to destination to overcome the serial path communication, parallel communication is used. In Parallel communication the packets are transferred from source to destination at a time. To improve the packet transfer in network many techniques are used like mesh topology, tree topology etc. The existing system will supports only the mesh topology and one to many packet transfer. In the proposed system, the new parallel multicast which uses the Globally Asynchronous and locally Synchronous Network on Chip (GALS NoC) that includes both Synchronous and Asynchronous Transmission with a slight change in IPM and OPM Architecture to support both synchronous and asynchronous transmission and reception of data packets. It has several advantages like it supports efficient many-to-one traffic, it is suitable for any topology and has improved Throughput.