Cooperative Resource Allocation and Scheduling for 5G eV2X Services

Bonjorn, Nestor; Foukalas, Fotis; Canellas, Ferran; Pop, Paul

doi:10.1109/access.2018.2889190

Cited by 37 publications

(18 citation statements)

References 12 publications

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“…Since the analog precoder has a fixed phase shifter, it may result in a decrease of precoding performance for analog precoding to be selected based on the result of clustering. Therefore, a novel division algorithm is designed for each VUE to select the most appropriate analog precoding vector from the matrix in (4).…”

Section: Union-based Vue-rb Matching Algorithmmentioning

confidence: 99%

“…Intelligent transport system (ITS) has been one of the highly concerned transmission systems in the fifth generation (5G) enabled artificial intelligence (AI) era, since it can provide security, transport efficiency, and energy conservation [1]. To meet the new requirements of 5G ITS, the 3rd generation partnership project (3GPP) has proposed an enhanced vehicle-to-everything (eV2X) network [2], [3], which contains two communication modes, i.e., PC5 interface for sidelink (SL) [4] and Uu interface for downlink/uplink (DL/UL) [5]. Particularly, the novel use cases in eV2X networks have more critical low latency and high reliability (LLHR) constraints.…”

Section: Introductionmentioning

confidence: 99%

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mmWave-NOMA-Based Low-Latency and High-Reliable Communications for Enhancement of V2X Services

Wang

Shi

et al. 2020

IEEE Access

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The enhanced vehicle-to-everything (eV2X) systems have stricter constraints of latency and reliability than before. To meet the low latency and high reliability (LLHR) demands, the investigation of semi-persistent scheduling (SPS) is of great significance. For the first time, we integrate millimeter wave (mmWave) and non-orthogonal multiple access (NOMA) into SPS strategy. The proposed strategy includes the beam division and user clustering process, the power allocation process, and the vehicular user equipment (VUE)-resource block (RB) matching process. Firstly, the joint-optimization problem in terms of user scheduling indicators and power allocation factors is formulated to minimize the SPS period. This problem is then proved to be non-deterministic polynomial hard (NP-hard) by being reduced into a vertex coloring problem. To solve it with polynomial complexity, we divide it into two subproblems and calculate them by iteration. For one subproblem, the LLHR power control algorithm is proposed to solve the non-convex reliability-optimization problem, which can provide an evaluation indicator for the user scheduling. For the other subproblem, the beam division and VUE clustering algorithm is designed to reduce the complexity of the VUE-RB matching. After that, the matching problem with peer effects is solved by the proposed unionbased matching algorithm. The analytical results on stability, convergence and computational complexity are presented, and simulation results show that the proposed SPS strategy outperforms the existing schemes. INDEX TERMS Enhanced V2X, NOMA, mmWave, hybrid precoding, semi-persistent scheduling.

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Section: Union-based Vue-rb Matching Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mmWave-NOMA-Based Low-Latency and High-Reliable Communications for Enhancement of V2X Services

Wang

Shi

et al. 2020

IEEE Access

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“…In [10], the authors present the first evaluation of the performance and operation of sensing-based semi-persistent resource scheduling under realistic traffic conditions in urban scenarios. In [11], different application scenarios are simulated to obtain the results that can guarantee the latency requirements per 5G eV2X use case as specified in 3GPP Rel.16 toward ultrareliable and low latency communications. Authors in [12] propose a novel geo-based scheduling scheme that allows vehicles to autonomously select their radio resources based on the location and ordering of neighboring vehicles on the road.…”

Section: Introductionmentioning

confidence: 99%

A Stochastic Geometry Approach to Model and Analyze Future Vehicular Communication Networks

Leng

Zhang

et al. 2020

IEEE Access

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Safety message dissemination in a vehicular communication network requires vehicle-tovehicle (V2V) communication with low latency and high reliability. To fulfill the stringent requirements in terms of reliability associated with safety applications, a control information assisted three-step (CIAT) resource selection scheme based on cellular vehicle-to-everything (C-V2X) technology for future vehicular communication network is investigated in this paper. To get a mathematical understanding of the process and performance of the CIAT scheme, in this paper, we develop an effective analytical approach to characterize the properties of the CIAT resource selection scheme in vehicular communication network by using the tool of stochastic geometry. In particular, the resource selection process and the key performances are analyzed mathematically; The closed-form expressions for the key performances are derived, which include the resource exclusion ratio, the average successful transmission probability and the packet inter-reception time; Furthermore, the performances of CIAT resource selection scheme are compared with those of random resource selection scheme mathematically. All the analytical results in this paper are validated through extensive Monte Carlo simulations, and the results provide insights to proper parameter settings for future vehicular communication network.

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“…Moreover, the temporal and spatial dynamics of the V2X network were investigated in [10].In spite of the above attractive features and application scenarios, there are also a great number of problems in the coexistence of V2X communication and other networks, such as the resource allocation (RA), interference management on account of co-channel interference (CCI) caused by spectrum reuse. In order to solve these problems and achieve technical breakthroughs, several related works have been done in terms of RA, power control, congestion control, link scheduling, interference coordination, and so on [11][12][13][14][15][16][17][18][19][20][21][22][23]. The authors of [11] focused on the existing RA algorithms for V2X communications, and these algorithms were classified and compared with each other according to selected criteria.…”

mentioning

confidence: 99%

“…The authors of [14] proposed a novel hybrid scheme based on C-V2X technology to improve latency and reliability performance. A cooperative solution for V2X communications was proposed in [15], which could guarantee reliability and latency requirements for 5G enhanced V2X services. In [16], the RA problem for D2D-based V2X communication was investigated.…”

mentioning

confidence: 99%

Stackelberg Game-Based Power Allocation for V2X Communications

Zhang

Yin

2019

Sensors

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Ultra-reliable low-latency communication (URLLC) is one of the three usage scenarios anticipated for 5G, which plays an important role in advanced applications of vehicle-to-everything (V2X) communications. In this paper, the Stackelberg game-based power allocation problem was investigated in V2X communications underlaying cellular networks. Assuming that the macro-cellular base station (MBS) sets the interference prices to protect itself from the V2X users (VUEs), the Stackelberg game was adopted to analyze the interaction between MBS and VUEs, where the former acts as a leader and the latter act as followers. For MBS, we aimed at maximizing its utility from interference revenue while considering the cost of interference. Meanwhile, the VUEs aimed at maximizing their utilities per unit power consumption. We analyzed the Stackelberg model and obtained the optimal prices for MBS and optimal transmit powers for VUEs. Simulation results demonstrated the superiority of the proposed Stackelberg game-based power allocation scheme in comparison with the traditional power allocation strategy. Meanwhile, the proposed scheme achieved a better trade-off between economic profit and power consumption.Recently, there have been volumes of existing literature on V2X communications [5][6][7][8][9][10]. In [5], a cooperative automated driving (CAD) system based on collective perception and cooperative maneuver coordination was proposed, which could be applied to several use cases. The authors of [6] investigated the impact of the new radio (NR) flexible numerology on the cellular-vehicle-to-anything (C-V2X) autonomous access mode. The authors of [7] examined the possibility of using the V2X systems at sea and discussed the challenges. In [8,9], the performance comparison of IEEE 802.11p and C-V2X was presented. Moreover, the temporal and spatial dynamics of the V2X network were investigated in [10].In spite of the above attractive features and application scenarios, there are also a great number of problems in the coexistence of V2X communication and other networks, such as the resource allocation (RA), interference management on account of co-channel interference (CCI) caused by spectrum reuse. In order to solve these problems and achieve technical breakthroughs, several related works have been done in terms of RA, power control, congestion control, link scheduling, interference coordination, and so on [11][12][13][14][15][16][17][18][19][20][21][22][23]. The authors of [11] focused on the existing RA algorithms for V2X communications, and these algorithms were classified and compared with each other according to selected criteria. In [12,13], an RA problem among safety VUEs, non-safety VUEs, and conventional cellular UEs (CUEs) was studied. The authors of [14] proposed a novel hybrid scheme based on C-V2X technology to improve latency and reliability performance. A cooperative solution for V2X communications was proposed in [15], which could guarantee reliability and latency requirements for 5G enhanced V2X services. In [16], th...

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Cooperative Resource Allocation and Scheduling for 5G eV2X Services

Cited by 37 publications

References 12 publications

mmWave-NOMA-Based Low-Latency and High-Reliable Communications for Enhancement of V2X Services

mmWave-NOMA-Based Low-Latency and High-Reliable Communications for Enhancement of V2X Services

A Stochastic Geometry Approach to Model and Analyze Future Vehicular Communication Networks

Stackelberg Game-Based Power Allocation for V2X Communications

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