Joint Power and Channel Allocation for D2D Underlaying Cellular Networks With Rician Fading

Wang, Yinlu; Chen, Ming; Huang, Nuo; Yang, Zhaohui; Pan, Yijin

doi:10.1109/lcomm.2018.2875689

Cited by 32 publications

(25 citation statements)

References 7 publications

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“…It is the presence of constraints (9d) and use of multiantenna receiver at the BS in the presence of quantization error that makes our problem different from those of existing works like [10], [23]. Although employing a higher resolution ADCs reduces the quantization error and improves the CUE rate, a higher power dissipation of the ADC is also incurred and constraint (9d) cannot be met.…”

Section: Spectrum Allocation Problem and Solutionmentioning

confidence: 99%

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Joint power and resource allocation for D2D communication with low-resolution ADC

Srinivasan

Subhash

Kalyani

2019

2019 53rd Asilomar Conference on Signals, Systems, and Computers

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This paper considers the joint power control and resource allocation for a device-to-device (D2D) underlay cellular system with a multi antenna BS employing ADCs with different resolutions. We propose a four step algorithm that optimizes the ADC resolution profile at the base station (BS) to reduce the energy consumption and perform joint power control and resource allocation of D2D communication users (DUEs) and cellular users (CUEs) to improve the D2D reliability.

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Section: Spectrum Allocation Problem and Solutionmentioning

confidence: 99%

“…This is a maximum weight bipartite matching problem and can be solved by the Hungarian method [10], [27], [28].…”

mentioning

confidence: 99%

Joint power and resource allocation for D2D communication with low-resolution ADC

Srinivasan

Subhash

Kalyani

2019

2019 53rd Asilomar Conference on Signals, Systems, and Computers

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show abstract

“…Device-to-device (D2D) communication enables a pair of closely located mobile users to establish a direct link for their user-plane traffic without going through the entire network infrastructure, while reusing the spectrum allocated for In fact, in [56] and references therein, several performance metrics were analyzed in Rician fading D2D systems. In D2D underlying cellular networks, strong interference may occur between cellular and D2D links sharing the same spectrum.…”

Section: Applicationsmentioning

confidence: 99%

“…Similar to [56], we consider a D2D-enabled communications network, where M single-antenna cellular users (CUE) perform highcapacity uplink cellular communications with the base station (BS) with N R antennas. In [56]- [58], only one antenna at BS is considered. But it makes practical sense to consider the BS to be equipped with more than one antenna.…”

Section: Applicationsmentioning

confidence: 99%

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Analysis of Optimal Combining in Rician Fading With Co-Channel Interference

Srinivasan

Kalyani

2019

IEEE Trans. Veh. Technol.

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Approximate Symbol error rate (SER), outage probability and rate expressions are derived for receive diversity system employing optimum combining when both the desired and the interfering signals are subjected to Rician fading, for the cases of a) equal power uncorrelated interferers b) unequal power interferers c) interferer correlation. The derived expressions are applicable for an arbitrary number of receive antennas and interferers and for any quadrature amplitude modulation (QAM) constellation. Furthermore, we derive a simple closed form expression for SER in the interference-limited regime, for the special case of Rayleigh faded interferers. A close match is observed between the SER, outage probability and rate results obtained through the derived analytical expressions and the ones obtained from Monte-Carlo simulations.

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Modeling D2D Underlaying Cellular Network for Hotspot Communications with Poisson Cluster and Hole Processes

Jia

Wei

Hao

et al. 2022

Wireless Pers Commun

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This paper develops a new approach to the modeling and analysis of device-to-device (D2D) underlaying multi-tier cellular network for the dense hotspot communications, which consist of macro base stations (MBSs), pico BSs (PBSs), femto BSs (FBSs). A typicl user equipment (UE) can work either in D2D mode or cellular mode. Considering the dense hotspot communications, this work employs Poisson point process (PPP) to model the locations of MBSs and PBSs, and uses Poisson cluster process (PCP) to model the ones of UEs and FBSs. The locations of PBSs are also modeled as the centers of hotspots, referred to as the centers of PCPs. UEs and FBSs cluster around the common parent process PBSs. To guard the cluster-edge UEs, the clustered-UE classification and modified fractional frequency reuse (FFR) are jointly used, by which both the UEs and FBSs are classified two sets, cluster-center UEs and cluster-edge UEs, cluster-center FBSs and cluster-edge FBSs, respectively. The total frequency band is divided into two orthogonal segments, one of which is shared by D2D devices, cluster-edge FBSs, and PBSs, and the other segment is shared by cluster-center FBSs and MBSs. For such clustered multi-tier network, by using the methods from PPP, PCP, and PHP, this paper presents a tractable approach for modeling and analyzing the performance of cellular and D2D networks and gives the statistical descriptions of the experienced interference at a typical receiver by using the approximated Poisson hole processes (PCP) theory. This yields the derivations of the coverage probabilities of both the D2D receivers and cellular destinations. In additon, during the analysis of cellular UEs, to derive the coverage probabilities, this paper specially constructs a UE association criterion as well as the derivations of both the association probabilities and the statistical descriptions of association distances for cluster-center and cluster-edge UEs. The simulations results exploit the effect of various network parameters on the network performance and give the insights in terms of the proposed schemes as well as the comparison between cluster-center and cluster-edge UEs.

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Joint Power and Channel Allocation for D2D Underlaying Cellular Networks With Rician Fading

Cited by 32 publications

References 7 publications

Joint power and resource allocation for D2D communication with low-resolution ADC

Joint power and resource allocation for D2D communication with low-resolution ADC

Analysis of Optimal Combining in Rician Fading With Co-Channel Interference

Modeling D2D Underlaying Cellular Network for Hotspot Communications with Poisson Cluster and Hole Processes

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