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Lina Liu - IEEE Xplore Author Profile
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Lina Liu

Publications
6
Citations
71
Publications by Year
20192023
Co-Authors:
Show All Co-Authors (9)
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Lina Liu

Affiliation

Department of Electrical and Computer Engineering
Northwestern University
Evanston, Illinois

Publication Topics

Biography

Lina Liu received the B.E. degree in telecommunications engineering from Nanjing University, Nanjing, China, in June 2017, and the M.Phil. degree in electronic and computer engineering from the Hong Kong University of Science and Technology, Hong Kong, in 2020. She is currently pursuing the Ph.D. degree with Northwestern University.(Based on document published on 28 November 2022).
Publications
6
Citations
71
Publications by Year
20192023
Co-Authors:
Show All Co-Authors (9)
Author's Published Works

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An Asynchronous Massive Access Scheme with Dynamic Range Considerations

Lina Liu;Dongning Guo

2023 IEEE International Symposium on Information Theory (ISIT)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
This paper studies the performance of a transmission and reception scheme for massive access under some practical challenges. One challenge is the near-far problem, i.e., an access point often receives signals from different transmitting devices at vastly different signal strengths. Another challenge is that the signals from different devices may be subject to arbitrary, analog, and heterogeneous ...Show More

An Asynchronous Massive Access Scheme with Dynamic Range Considerations

Lina Liu;Dongning Guo

Year: 2023 | Conference Paper |

Asynchronous Massive Access and Neighbor Discovery Using OFDMA

Xu Chen;Lina Liu;Dongning Guo;Gregory W. Wornell

IEEE Transactions on Information Theory
Year: 2023 | Volume: 69, Issue: 4 | Journal Article |
Cited by: Papers (8)
The fundamental communication problem in the wireless Internet-of-Things (IoT) is to discover a massive number of devices and to provide them with reliable access to shared channels. Oftentimes these devices transmit short messages randomly and sporadically. This paper proposes a novel signaling scheme for grant-free massive access, where each device encodes its identity and/or information in a sp...Show More

Asynchronous Massive Access and Neighbor Discovery Using OFDMA

Xu Chen;Lina Liu;Dongning Guo;Gregory W. Wornell

Year: 2023 | Volume: 69, Issue: 4 | Journal Article |

Energy-Efficient Resource Allocation and Subchannel Assignment for NOMA-Enabled Multiaccess Edge Computing

Lina Liu;Bo Sun;Xiaoqi Tan;Danny H. K. Tsang

IEEE Systems Journal
Year: 2022 | Volume: 16, Issue: 1 | Journal Article |
Cited by: Papers (18)
In this article, we study an energy-efficient nonorthogonal multiple access (NOMA) enabled multiaccess edge computing (MEC) system with strict latency requirements. We aim to minimize the energy consumption of all users by optimizing the resource allocation (including power and computation resources) and subchannel assignment, subject to the given latency constraint. The formulated problem, howeve...Show More

Energy-Efficient Resource Allocation and Subchannel Assignment for NOMA-Enabled Multiaccess Edge Computing

Lina Liu;Bo Sun;Xiaoqi Tan;Danny H. K. Tsang

Year: 2022 | Volume: 16, Issue: 1 | Journal Article |

Latency Optimization for Computation Offloading With Hybrid NOMA–OMA Transmission

Lina Liu;Bo Sun;Yuan Wu;Danny H. K. Tsang

IEEE Internet of Things Journal
Year: 2021 | Volume: 8, Issue: 8 | Journal Article |
Cited by: Papers (30)
The Internet-of-Things (IoT) platform is faced with critical challenges posed by the conflict between resource-hungry IoT applications and resource-constrained IoT devices. Mobile-edge computing provides a promising solution by allowing IoT devices to offload their computation to nearby edge servers to enable fast and energy-efficient data processing. In this article, we study a scenario, where tw...Show More

Latency Optimization for Computation Offloading With Hybrid NOMA–OMA Transmission

Lina Liu;Bo Sun;Yuan Wu;Danny H. K. Tsang

Year: 2021 | Volume: 8, Issue: 8 | Journal Article |

Latency Minimization for Computation Offloading with Hybrid Multiple Access Methods

Lina Liu;Bo Sun;Yuan Wu;H.K. Danny Tsang

2020 International Conference on Computing, Networking and Communications (ICNC)
Year: 2020 | Conference Paper |
Cited by: Papers (3)
Mobile edge computing (MEC) has been considered as a promising technique to support computation-intensive and latency-sensitive multimedia applications (e.g., video analytics and real-time target tracking) in future 5G/6G systems, by enabling mobile terminals to offload computation workloads to edge servers. In this paper, we study a computation offloading scenario with hybrid multiple access meth...Show More

Latency Minimization for Computation Offloading with Hybrid Multiple Access Methods

Lina Liu;Bo Sun;Yuan Wu;H.K. Danny Tsang

Year: 2020 | Conference Paper |

Energy-efficient Resource Allocation and Channel Assignment for NOMA-based Mobile Edge Computing

Lina Liu;Bo Sun;Xiaoqi Tan;Yu Sing Xiao;Danny H.K. Tsang

2019 IEEE Wireless Communications and Networking Conference (WCNC)
Year: 2019 | Conference Paper |
Cited by: Papers (11)
In this paper, we study resource allocation (including power and computation resources) and channel assignment in an uplink Non-orthogonal Multiple Access (NOMA)-based Mobile Edge Computing (MEC) system. Our objective is to minimize the total energy consumption of all users. The problem, however, is a non-convex combinatorial optimization problem. We first investigate the hidden convexity by refor...Show More

Energy-efficient Resource Allocation and Channel Assignment for NOMA-based Mobile Edge Computing

Lina Liu;Bo Sun;Xiaoqi Tan;Yu Sing Xiao;Danny H.K. Tsang

Year: 2019 | Conference Paper |

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