Joint Relay Selection and Resource Allocation for Relay-Assisted D2D Underlay Communications

Liu, Miaomiao; Zhang, Li; Gautam, Prabhat Raj

doi:10.1109/wpmc48795.2019.9096172

Cited by 9 publications

(12 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mode selection is the process of choosing the right mode, i.e., D2D or cellular mode, for communication between two UEs, which will improve the system’s performance, throughput, spectral efficiency, and reduce latency. The mode selection issues and proposed solutions are discussed in this section [ 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 , 87 ]. In Ref.…”

Section: 5g Coverage Enhancement Techniquesmentioning

confidence: 99%

“…An underlying D2D multi-hop relay-aided scheme has been proposed to improve the coverage capacity [ 81 ]. A joint mode selection, relay selection, and resource allocation optimization algorithm are proposed to improve the throughput and SINR [ 82 ]. A greedy heuristic algorithm is proposed for mode selection based on QoS [ 83 ].…”

Section: 5g Coverage Enhancement Techniquesmentioning

confidence: 99%

See 1 more Smart Citation

A Survey on 5G Coverage Improvement Techniques: Issues and Future Challenges

Sudhamani

Roslee

Tiang

et al. 2023

Sensors

View full text Add to dashboard Cite

Fifth generation (5G) is a recent wireless communication technology in mobile networks. The key parameters of 5G are enhanced coverage, ultra reliable low latency, high data rates, massive connectivity and better support to mobility. Enhanced coverage is one of the major issues in the 5G and beyond 5G networks, which will be affecting the overall system performance and end user experience. The increasing number of base stations may increase the coverage but it leads to interference between the cell edge users, which in turn impacts the coverage. Therefore, enhanced coverage is one of the future challenging issues in cellular networks. In this survey, coverage enhancement techniques are explored to improve the overall system performance, throughput, coverage capacity, spectral efficiency, outage probability, data rates, and latency. The main aim of this article is to highlight the recent developments and deployments made towards the enhanced network coverage and to discuss its future research challenges.

show abstract

Section: 5g Coverage Enhancement Techniquesmentioning

confidence: 99%

Section: 5g Coverage Enhancement Techniquesmentioning

confidence: 99%

A Survey on 5G Coverage Improvement Techniques: Issues and Future Challenges

Sudhamani

Roslee

Tiang

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…where the coefficients a 3 , a 2 , a 1 , a 0 , b 2 , b 1 and b 0 can be obtained by the Matlab expand function. Moreover, constraints (32b)-(32e) * More details can be found in [8] and [23].…”

Section: Whenmentioning

confidence: 99%

“…Hoang et al [8] has proved that problem (31) can achieve its optimum if

p_{c} = p_{\max}^{C}

p_{d} = p_{\max}^{D}

p_{r} = p_{\max}^{R}

and

γ 1_{D_{m, n}}^{k, r} = γ 2_{D_{m, n}}^{k, r}

. In addition, Liu and Zhang [23] verified that the system performance is not related to the

p_{\max}^{D}

and

p_{\max}^{R}

because the cellular links have the highest priority to communicate than the D2D links. Hence, only consider

p_{c} = p_{\max}^{C}

is enough to achieve the near optimal power allocation [More details can be found in [8, 23].…”

Section: Optimal Power Allocationmentioning

confidence: 99%

Graph colour‐based resource allocation for relay‐assisted D2D underlay communications

Liu

Zhang

2020

IET Communications

Self Cite

View full text Add to dashboard Cite

show abstract

“…So far, there have been some works on resource allocation [23][24][25][26][27], relay selection [28][29][30], and their joint optimization [31][32][33][34][35][36][37] for relay-aided D2D communication. However, there is no research on using drones as relays for joint resource allocation and relay selection for large-scale D2D communication in hybrid VLC/RF IoT system.…”

Section: Introductionmentioning

confidence: 99%

Joint Resource Allocation and Drones Relay Selection for Large-Scale D2D Communication Underlaying Hybrid VLC/RF IoT Systems

Liu,

Huang,

Zhang

et al. 2023

Drones

View full text Add to dashboard Cite

Relay-aided Device-to-Device (D2D) communication combining visible light communication (VLC) with radio frequency (RF) is a promising paradigm in the internet of things (IoT). Static relay limits the flexibility and maintaining connectivity of relays in Hybrid VLC/RF IoT systems. By using a drone as a relay station, it is possible to avoid obstacles such as buildings and to communicate in a line-of-sight (LoS) environment, which naturally aligns with the requirement of VLC Systems. To further support the application of VLC in the IoT, subject to the challenges imposed by the constrained coverage, the lack of flexibility, poor reliability, and connectivity, drone relay-aided D2D communication appears on the horizon and can be cost-effectively deployed for the large-scale IoT. This paper proposes a joint resource allocation and drones relay selection scheme, aiming to maximize the D2D system sum rate while ensuring the quality of service (QoS) requirements for cellular users (CUs) and D2D users (DUs). First, we construct a two-phase coalitional game to tackle the resource allocation problem, which exploits the combination of VLC and RF, as well as incorporates a greedy strategy. After that, a distributed cooperative multi-agent reinforcement learning (MARL) algorithm, called WoLF policy hill-climbing (WoLF-PHC), is proposed to address the drones relay selection problem. Moreover, to further reduce the computational complexity, we propose a lightweight neighbor–agent-based WoLF-PHC algorithm, which only utilizes historical information of neighboring DUs. Finally, we provide an in-depth theoretical analysis of the proposed schemes in terms of complexity and signaling overhead. Simulation results illustrate that the proposed schemes can effectively improve the system performance in terms of the sum rate and outage probability with respect to other outstanding algorithms.

show abstract

Joint Relay Selection and Resource Allocation for Relay-Assisted D2D Underlay Communications

Abstract: This is a repository copy of Joint Relay Selection and Resource Allocation for Relay-Assisted D2D Underlay Communications.

Cited by 9 publications

References 12 publications

A Survey on 5G Coverage Improvement Techniques: Issues and Future Challenges

A Survey on 5G Coverage Improvement Techniques: Issues and Future Challenges

Graph colour‐based resource allocation for relay‐assisted D2D underlay communications

Joint Resource Allocation and Drones Relay Selection for Large-Scale D2D Communication Underlaying Hybrid VLC/RF IoT Systems

Contact Info

Product

Resources

About