Multiuser Resource Allocation for Mobile-Edge Computation Offloading

@article{You2016MultiuserRA,
  title={Multiuser Resource Allocation for Mobile-Edge Computation Offloading},
  author={Changsheng You and Kaibin Huang},
  journal={2016 IEEE Global Communications Conference (GLOBECOM)},
  year={2016},
  pages={1-6}
}
Mobile-edge computation offloading (MECO) offloads intensive mobile computation to clouds located at the edges of cellular networks. Thereby, MECO is envisioned as a promising technique for prolonging the battery lives and enhancing the computation capacities of mobiles. In this paper, we consider resource allocation in a MECO system comprising multiple users that time share a single edge cloud and have different computation loads. The optimal resource allocation is formulated as a convex… 
View on IEEE
arxiv.org
71 Citations
Highly Influential Citations
8
Background Citations
43
Methods Citations
15
Results Citations
1

Figures from this paper

71 Citations

Efficient resource allocation in mobile-edge computation offloading: Completion time minimization
TLDR
This work considers a multi-user MECO system with a base station equipped with a single cloudlet server, and considers parallel sharing of the cloudlet, where each user is allocated a certain fraction of the total computation power.
Energy-Efficient Computation Offloading and Transmit Power Allocation Scheme for Mobile Edge Computing
TLDR
The energy efficiency cost minimization problem is formulated, which satisfies the completion time deadline constraint of MDs in an MEC system, and the corresponding Karush–Kuhn–Tucker conditions are applied to solve the optimization problem.
Joint Optimization of Wireless Resource Allocation and Task Partition for Mobile Edge Computing
TLDR
This paper investigates the joint wireless resource allocation, power control and computation offloading for an MEC-based multi-user wireless communication system and proposes to solve the optimal power control strategy by using convex optimization method.
Efficient Resource Allocation for Mobile-Edge Computing Networks With NOMA: Completion Time and Energy Minimization
TLDR
An uplink non-orthogonal multiple access (NOMA)-based mobile-edge computing (MEC) network is investigated and it is shown that the original minimization problem can be transformed into an equivalent convex one.
System delay optimization for Mobile Edge Computing
Energy-Optimal Latency-Constrained Application Offloading in Mobile-Edge Computing
TLDR
This paper provides an offloading strategy for the joint optimization of the communication and computational resources by considering the blue trade-off between energy consumption and latency and establishes the conditions under which the binary decisions are optimal.
A Cooperative Partial Computation Offloading Scheme for Mobile Edge Computing Enabled Internet of Things
TLDR
An iterative heuristic MEC resource allocation algorithm to make the offloading decision dynamically and results demonstrate that the algorithm outperforms the existing schemes in terms of execution latency and offloading efficiency.
Game Theoretic Algorithm for Energy Efficient Mobile Edge Computing with Multiple Access Points
TLDR
Numerical results show a benefit of the proposed resource allocation strategy, a performance of the propose game algorithm near the optimal solution and a fast algorithm execution time that can even be significantly improved by proposed sorting metrics.
User-Edge Collaborative Resource Allocation and Offloading Strategy in Edge Computing
TLDR
This work proposes a computation offloading scheme that achieves lower execution costs by cooperatively allocating computing resources by mobile devices and the edge server and proposes an iterative optimization algorithm to find the approximate optimal solution.
A Distributed Algorithm for Multi-Stage Computation Offloading
TLDR
A distributed game theoretic algorithm which decomposes the offloading problem into the subproblems of resource allocation and offloading decisions is proposed and the results show that the algorithm performs close to the optimal policy.
...
...

References

SHOWING 1-10 OF 19 REFERENCES
Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing
TLDR
This paper designs a distributed computation offloading algorithm that can achieve a Nash equilibrium, derive the upper bound of the convergence time, and quantify its efficiency ratio over the centralized optimal solutions in terms of two important performance metrics.
Energy-Efficient Link Selection and Transmission Scheduling in Mobile Cloud Computing
TLDR
This letter addresses the issue of energy-efficient link selection and data transmission scheduling for delay-tolerant and data-intensive applications in MCC and proposes a scalable approximate dynamic programming (ADP) algorithm that does not require the statistics of exogenous stochastic information.
Optimal resource allocation in multiservice CDMA networks
TLDR
Numerical results are presented showing that the optimal resource allocation strategy can offer substantial performance gains over other conventional resource allocation strategies for DS-CDMA networks.
Energy Efficient Mobile Cloud Computing Powered by Wireless Energy Transfer
TLDR
A novel solution that seamlessly integrates two technologies, mobile cloud computing and microwave power transfer, to enable computation in passive low-complexity devices such as sensors and wearable computing devices is presented.
Energy Efficient Mobile Cloud Computing Powered by Wireless Energy Transfer (extended version)
TLDR
A novel solution that seamlessly integrates two technologies, mobile cloud computing and microwave power transfer (MPT), to enable computation in passive low-complexity devices such as sensors and wearable computing devices is presented.
Power-Efficient Resource Allocation for Time-Division Multiple Access Over Fading Channels
TLDR
These approaches provide fundamental power limits when each user can support an infinite-size capacity-achieving codebook (continuous rates), but also yield guidelines for practical designs where users can only support a finite set of adaptive modulation and coding modes (discrete rates).
Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environment
TLDR
This paper presents a system that uses virtualization technology to allocate data center resources dynamically based on application demands and support green computing by optimizing the number of servers in use and develops a set of heuristics that prevent overload in the system effectively while saving energy used.
Multiuser OFDM with adaptive subcarrier, bit, and power allocation
TLDR
The results show that the proposed algorithm outperforms multiuser OFDM systems with static time-division multiple access (TDMA) or frequency-divisionmultiple access (FDMA) techniques which employ fixed and predetermined time-slot or subcarrier allocation schemes.
A survey of mobile cloud computing: architecture, applications, and approaches
TLDR
A survey of MCC is given, which helps general readers have an overview of the MCC including the definition, architecture, and applications and the issues, existing solutions, and approaches are presented.
Energy aware consolidation for cloud computing
TLDR
The study reveals the energy performance trade-offs for consolidation and shows that optimal operating points exist and the challenges in finding effective solutions to the consolidation problem.
...
...