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Mugen Peng

Researcher at Beijing University of Posts and Telecommunications

Publications -  554
Citations -  16681

Mugen Peng is an academic researcher from Beijing University of Posts and Telecommunications. The author has contributed to research in topics: Relay & Resource allocation. The author has an hindex of 51, co-authored 501 publications receiving 12800 citations. Previous affiliations of Mugen Peng include Peking University & Chinese Ministry of Education.

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Proceedings ArticleDOI

Optimum Transmit Power for Maximal Connectivity and Increased Network Lifetime in WSNs

TL;DR: This paper investigated the effects of the transmit power on the network and nodes lifetime thus aiming to prolong the network life by choosing the correct approach.
Proceedings ArticleDOI

Resource Allocation in Multi-Carrier Full-Duplex Amplify-and-Forward Relaying Networks

TL;DR: Simulation results show that the proposed resource allocation scheme can significantly improve system performance and dual decomposition technique is employed for power allocation, while the subcarrier pairing problem is solved by Hungarian algorithm.
Proceedings ArticleDOI

On the Outage Probability of Cognitive Two-Way Relaying Based on Superposition Coding

TL;DR: The results show that a major portion of relay power has to be allocated for relaying primary signals because the superimposed secondary signal always plays as an interference to the primary signals and several potential solutions to suppress this interference are proposed to enhance the performance of cognitive two-way relaying.
Proceedings ArticleDOI

An overload indicator & high interference indicator hybrid scheme for inter-cell interference coordination in LTE system

TL;DR: An OI&HII hybrid scheme is proposed for inter-cell interference coordination (ICIC) through signaling interaction between the two schemes, where instead of broadcasting OI message to all the neighboring cells, the serving base stations just sends it to selected neighbors to inform them to adjust uplink transmission power.
Posted Content

Optimal Task Assignment and Power Allocation for NOMA Mobile-Edge Computing Networks.

TL;DR: This paper investigates the task completion time minimization in NOMA multiuser MEC networks, where multiple users can offload their tasks simultaneously via the same frequency band and derives closed-form expressions of the optimal task partition ratio and offloading power for two-user N OMA MEC network based on the analysed results.