Throughput Maximization for Intelligent Reflecting Surface-Aided Device-to-Device Communications System

Zhang, Chiya; Chen, Wenyu; He, Chunlong; Li, Xingquan

doi:10.23919/jcin.2020.9306014

Cited by 18 publications

(15 citation statements)

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“…Here, we consider three benchmarks for evaluating our proposed solutions: Benchmark 1 is the proposed algorithm in ref. [14], which only maximises the sum‐rate of the D2D pairs while considering the minimum QoS for the CUs in a single IRS‐aided D2D network. Benchmark 2 is the proposed algorithm in ref.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…refs. [12]–[14]), we optimize jointly amplitudes and phase shifts with arbitrary continuous values to harness interference between D2D pairs and CUs. Thus, the feasible set of

\theta _{r,m}=\beta _{r,m} e^{j\varphi _{r,m}}

with arbitrary reflecting coefficient can be expressed as

\Omega _r=\lbrace \theta _{r,m} | |\theta _{r,m}|^2\le 1\rbrace

.…”

Section: System Modelmentioning

confidence: 99%

“…An IRS‐aided D2D communication downlink system was studied in ref. [14] to maximize the throughput of the D2D network, where the D2D transmission power and beamforming matrices at the BS and IRS were optimized by decomposing the original problem into three sub‐problems. Furthermore, a single IRS‐aided D2D underlying cellular network was studied in [15], where the SE and EE of the overall network (i.e.…”

Section: Introductionmentioning

confidence: 99%

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Resource allocation for multi‐IRS‐aided D2D communication underlying cellular networks

2022

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This paper investigates the resource allocation design in device-to-device (D2D) communication underlying cellular networks, which is assisted by multiple intelligent reflecting surfaces (IRSs) deployed at the cell boundary to enhance desired signals and mitigate interference between D2D pairs and CUs. In this regard, a multi-objective optimization problem (MOOP) framework is formulated to jointly maximize the downlink sum-rate of the D2D pairs and cellular users (CUs). To doing so, the MOOP is first converted into a single-objective optimization problem (SOOP) by invoking the weighted sum method. Next, to facilitate the high-coupled non-convex SOOP formulation, it is decomposed into two sub-problems through the alternative optimization method. For the first sub-problem, the inner approximation and successive convex approximations are adopted for jointly allocating D2D transmission power, subcarrier assignment, and transmit beamforming matrix at the BS. For the second sub-problem, an iterative algorithm based on the penalty-based method as well as Fenchel's duality approach is adopted to design the passive beamforming matrices at IRSs, which is guaranteed to rapidly converge to a stationary point. Simulation results reveal that a non-trivial trade-off between the total throughput of CUs and D2D pairs exist. Furthermore, the proposed framework significantly outperforms existing works addressed in the literature.

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Section: Simulation Resultsmentioning

confidence: 99%

“…refs. [12]–[14]), we optimize jointly amplitudes and phase shifts with arbitrary continuous values to harness interference between D2D pairs and CUs. Thus, the feasible set of

\theta _{r,m}=\beta _{r,m} e^{j\varphi _{r,m}}

with arbitrary reflecting coefficient can be expressed as

\Omega _r=\lbrace \theta _{r,m} | |\theta _{r,m}|^2\le 1\rbrace

.…”

Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Resource allocation for multi‐IRS‐aided D2D communication underlying cellular networks

2022

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“…However, the interference caused by co-channel D2D pairs and CUEs needs to be suppressed especially in high frequency-reuse-factor scenarios. Therefore, researchers introduce IRS into the D2D communication underlay cellular networks to mitigate co-channel interference [22][23][24][25][26][27]. In [22], authors optimize the power and phase shift matrix by using the block coordinate descent algorithm and semi-relaxation technology.…”

Section: ) Resource Allocation In D2d Communicationmentioning

confidence: 99%

“…Therefore, researchers introduce IRS into the D2D communication underlay cellular networks to mitigate co-channel interference [22][23][24][25][26][27]. In [22], authors optimize the power and phase shift matrix by using the block coordinate descent algorithm and semi-relaxation technology. As expected, D2D communication with IRS aided achieves higher throughput than traditional D2D systems.…”

Section: ) Resource Allocation In D2d Communicationmentioning

confidence: 99%

Sum-Rate Optimization for IRS-Aided D2D Communication Underlaying Cellular Networks

Cao

et al. 2022

IEEE Access

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The intelligent reflective surface (IRS)-assisted communication is recognized as a promising technology to enhance capacity and coverage of the network by controlling propagation. However, in IRS-aided device-to-device (D2D) communication underlaying cellular networks, co-channel interference is more complicated and challenging than traditional D2D communication networks due to the addition of extra reflection paths. To alleviate interference and improve sum-rate, we establish a multivariable resource optimization function based on IRS-assisted D2D communication in this paper. Then, a hybrid sub-optimal algorithm is proposed, which includes channel allocation based on game theory, power allocation and phase shift optimization. Specifically, a sub-channel allocation algorithm is introduced to maximize system sum-rate, where the problem of sub-channel allocation is formulated as a two-stage combinatorial auction model, and the approximate optimal solution is obtained by bidding and adjustment. Then, a sub-optimal solution for transmission power and phase shifts is obtained through local search and iterative optimization. Simulation results show that the proposed hybrid sub-optimal algorithm is feasible and effective. Compared to the other 5 schemes, it has best sum-rate performance and lowest power consumption.

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A brief survey on 6G communications

Rajoria¹,

Mishra²

2022

Wireless Netw

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Throughput Maximization for Intelligent Reflecting Surface-Aided Device-to-Device Communications System

Cited by 18 publications

References 0 publications

Resource allocation for multi‐IRS‐aided D2D communication underlying cellular networks

Resource allocation for multi‐IRS‐aided D2D communication underlying cellular networks

Sum-Rate Optimization for IRS-Aided D2D Communication Underlaying Cellular Networks

A brief survey on 6G communications

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