Minimum Overhead Beamforming and Resource Allocation in D2D Edge Networks

@article{Kim2020MinimumOB,
  title={Minimum Overhead Beamforming and Resource Allocation in D2D Edge Networks},
  author={Junghoon Kim and Taejoon Kim and Morteza Hashemi and Christopher G. Brinton and David James Love},
  journal={IEEE/ACM Transactions on Networking},
  year={2020},
  volume={30},
  pages={1454-1468}
}
Device-to-device (D2D) communications is expected to be a critical enabler of distributed computing in edge networks at scale. A key challenge in providing this capability is the requirement for judicious management of the heterogeneous communication and computation resources that exist at the edge to meet processing needs. In this paper, we develop an optimization methodology that considers the network topology jointly with device and network resource allocation to minimize total D2D overhead… 

Cost Minimization for Cooperative Computation Framework in MEC Networks

A cooperative task computation framework exploits the computation resource in user equipments (UEs) to accomplish more tasks meanwhile minimizes the power consumption of UEs and jointly optimizing binary offloading decisions, the computational frequencies, and the offloading transmit power.

References

SHOWING 1-10 OF 82 REFERENCES

Joint Optimization of Signal Design and Resource Allocation in Wireless D2D Edge Computing

This paper proposes a joint optimization of wireless MIMO signal design and network resource allocation to maximize energy efficiency and shows that this method yields substantial improvements in energy efficiency compared with cases of no offloading and partially optimized methods and that the efficiency scales well with the size of the network.

Joint Computing Resource, Power, and Channel Allocations for D2D-Assisted and NOMA-Based Mobile Edge Computing

By exploiting device-to-device (D2D) communication for enabling user collaboration and reducing the edge server’s load, this paper investigates the D2D-assisted and NOMA-based MEC system and proposes a scheduling-based joint computing resource, power, and channel allocations algorithm to achieve the joint optimization.

Joint Subchannel and Power Allocation for NOMA Enhanced D2D Communications

Numerical results illustrate that the proposed joint subchannel and power allocation algorithm are an effective approach for obtaining near-optimal performance with acceptable complexity and the NOMA enhanced D2D communication scheme is capable of achieving promising gains in terms of network sum rate and the number of accessed users, compared to a traditional OMA-based D2d communication scheme.

D2D Communications Meet Mobile Edge Computing for Enhanced Computation Capacity in Cellular Networks

This paper integrates the D2D communications with MEC to further improve the computation capacity of the cellular networks, where the task of each device can be offloaded to an edge node and a nearby D1D device.

Joint Task Assignment and Resource Allocation for D2D-Enabled Mobile-Edge Computing

This paper studies a novel device-to-device (D2D)-enabled multi-helper MEC system, in which a local user solicits its nearby WDs serving as helpers for cooperative computation and proposes an efficient algorithm by first relaxing the original problem into a convex one, and then constructing a suboptimal task assignment solution based on the obtained optimal one.

Energy Minimization for D2D-Assisted Mobile Edge Computing Networks

Simulation results demonstrate the near-optimal performance of the proposed algorithms and the fact that with the assistance of D2D communication, the number of executed tasks is greatly increased and the energy consumption per executed task is significantly reduced in MEC networks, especially in dense user scenario.

Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing

This paper considers an MIMO multicell system where multiple mobile users ask for computation offloading to a common cloud server, and proposes an iterative algorithm, based on a novel successive convex approximation technique, converging to a local optimal solution of the original nonconvex problem.

Joint Offloading and Transmission Power Control for Mobile Edge Computing

An efficient semi-distributed algorithm consisting of two subalgorithms of offloading scheme and transmission power control can effectively reduce system-wide computation overhead and increase the number of beneficial edge computing users, compared with all local or edge computing and fixed transmission power schemes.

Computation Offloading in MIMO Based Mobile Edge Computing Systems under Perfect and Imperfect CSI Estimation

  • N. TiL. Le
  • Computer Science
    2018 IEEE International Conference on Communications (ICC)
  • 2018
The optimization of computation task offloading and resource allocation in MIMO wireless systems considering perfect and imperfect CSI estimation is studied and the optimal and sub-optimal algorithms are proposed to solve the underlying mixed integer non-linear problem (MINLP).

Device-to-device(d2d) communications underlaying MU-MIMO cellular networks

This paper considers a cellular network with multiple cellular user equipments (UEs) and multiple direct D2D pairs underlaying communications with a central base station equipped with multiple antennas and investigates three precoder design methods and proposes a D1D pair association vector search algorithm.
...