Gil-Mo Kang

Mr. Gil-Mo Kang


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 August 2020 in Energies
Verified
Journal Article
Open access
PDF file
HNHieu Van Nguyen
Hieu Van Nguyen
HKHyeon Min Kim
Hyeon Min Kim
GKGil-Mo Kang
Gil-Mo Kang
KNKha-Hung Nguyen
Kha-Hung Nguyen
PBPhuc Bui
Phuc Bui
Oh-Soon ShinOh-Soon Shin
Oh-Soon Shin
Non-orthogonal multiple access (NOMA) is a promising technology for next-generation wireless networks with emerging demands on low latency, high throughput, and massive connectivity. Unlike orthogonal multiple access, NOMA allows multiple users to share the same radio resources, which significantly improves spectral efficiency (SE). To achieve green wireless communications for numerous networked devices, NOMA helps reduce energy consumption while satisfying rate fairness and quality-of-experience requirements. The goal of this paper is to introduce the innovative approaches for NOMA in terms of the SE and energy efficiency, and discuss emerging technologies involved with NOMA. Further, its challenges and future research directions are highlighted.

25 May 2020 in Journal of Communications Technology and Electronics
Verified
Journal Article
Closed access
PDF file
GKGil-Mo Kang
Gil-Mo Kang
Oh-Soon ShinOh-Soon Shin
Oh-Soon Shin
We investigate the optimal resource and power allocation for device-to-device (D2D) communications in a multicell environment. When D2D links reuse the cellular radio resources, each D2D user will interfere with a cellular link and other D2D links, in its own cell as well as in adjacent cells. We first develop a distributed resource allocation scheme that is performed by each base station independently. Then, we propose a coordinated resource allocation scheme that can handle the intercell interferences as well as the intracell interference. For a given resource allocation, we also formulate a power optimization problem and present an algorithm to find the optimal solution. The resource and power allocation algorithms are designed to maximize the achievable rate of the D2D link, while limiting the interference generated to the cellular link. The performance of the proposed algorithms is evaluated through simulations in a multicell environment. Numerical results are presented to verify the coordination gain in the resource and power allocation.