Joint Beam and Resource Allocation in 5G mmWave Small Cell Systems

Zhang, Wenbin; Wei, Yanbo; Wu, Shaochuan; Meng, Weixiao; Wang, Xiang

doi:10.1109/tvt.2019.2932190

Cited by 33 publications

(17 citation statements)

References 20 publications

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“…Although the performance of macrocell users (MUEs) as the primary users is guaranteed in this method, this work did not consider cotier interference, especially when the number of SBSs is high, which affects SBS users (SUEs). A joint beam and power allocation in a mmWave small cell were proposed in [42] through formulation of the two problems into mixed integer nonlinear programming (MINLP). The nonconvex problem was broken into two subproblems, and the first problem was selecting the beam using cooperative games.…”

Section: ) System Throughputmentioning

confidence: 99%

“…Computational complexity has become an issue in resource allocations as some algorithms yield a high number of computations that affect the processing time required, and might increase the hardware cost (higher cost for better performing machines). In allocation schemes that are based on game theory in [40,42,94], the time required to achieve a stable OCF game (Nash equilibrium) increases with the number of small BSs since each UU negotiates with every small BS in the network. A similarly high convergence time to reach its equilibrium state was reported in [86], where the resource and power allocation algorithms proposed are based on game theory and solved by machine learning.…”

Section: ) Computational Complexitymentioning

confidence: 99%

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Survey of Radio Resource Management in 5G Heterogeneous Networks

et al. 2020

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Radio resource management (RRM) for future fifth-generation (5G) heterogeneous networks (HetNets) has emerged as a critical area due to the increased density of small-cell networks and radio access technologies. Recent research has mostly concentrated on resource management, including spectrum utilization and interference mitigation, but the complexities of these resources have been given little attention. This paper provides an overview of the issues arising from future 5G systems and highlights their importance. The different approaches used in recently published surveys categorizing RRM schemes are discussed, and the survey method is presented. We report on a survey of HetNet RRM schemes that have been studied recently, with a focus on the joint optimization of radio resource allocation with other mechanisms. These RRM schemes were subcategorized according to their optimization metrics and qualitatively analyzed and compared. An analysis of the complexity of RRM schemes in terms of implementation and computation is presented. Several potential scopes of research for future RRM in 5G HetNets are also identified.

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Section: ) System Throughputmentioning

confidence: 99%

Section: ) Computational Complexitymentioning

confidence: 99%

Survey of Radio Resource Management in 5G Heterogeneous Networks

et al. 2020

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“…represents the Rician channel matrix between the m-th RRH and k-th OBU. We adopt the close-in (CI) mm-Wave propagation model in [15], [16] for both V2V and V2I, written as…”

Section: A Channel Models For Rrh-vehicle and V2v Communicationsmentioning

confidence: 99%

“…Due to mobility, the Rician channel, h k , changes fast. As a result of this, the channel, h k between Tx and Rx is relative to the distance apart [15], [16] and it is represented by…”

Section: A Channel Models For Rrh-vehicle and V2v Communicationsmentioning

confidence: 99%

Adaptive Power Control with Vehicular Trellis Architecture for Vehicular Communication Systems

Akinsanya

Nair

Zhu

et al. 2020

2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)

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Autonomous driving in future vehicle system has imposed a high demand for reliable and power efficient communication to provide safe-driving to vehicular users. In order to achieve reliability and power efficiency, in this paper, a vehicular trellis architecture (VTA) is proposed. VTA allows traffic information to be transmitted either via vehicle-to-infrastructure (V2I), through the dedicated remote radio head (RRH) and its dynamically select vehicle(s) or, direct vehicle-to-vehicle (V2V) communication. We investigated the adaptive switching over V2I/V2V, to enhance efficient system reliability while optimizing the average power consumption of VTA. This paper presents a vehicular trellis algorithm (VTRA), which approximate solutions to the optimization problem. Simulation results demonstrate that the selection of joint V2I/V2V communication reduces the total power consumption of the system for a varying number of threshold distance and vehicles.

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“…Therefore, ∑ M m=1 ϕ k,m ≤ 1. We adopt the close-in (CI) mm-Wave propagation model in [16], [17]. From (4), p m is the transmit power allocated on beam m given by…”

Section: A V2i Communicationmentioning

confidence: 99%

Joint Vehicle-Beam Allocation for Reliability and Coverage in Vehicular Communication Systems

Akinsanya

Nair

Zhu

et al. 2020

2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)

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In vehicular communication systems, maximizing the number of served vehicles while simultaneously guaranteeing reliable coverage at all the vehicles can be a challenging proposition. A switched-beam based infrastructure can provide better reliability as the signal-to-interference-plus-noise ratio (SINR) can be improved. However, a simple switched-beam based vehicle-toinfrastructure (V2I) system alone may not suffice for serving all the vehicles because (i) the number of vehicle is more than the number of beam, and (ii) a vehicle may be out of the coverage region of a beam. Therefore, introducing vehicle-to-vehicle (V2V) communication becomes crucial in extending the number of served vehicles. In this paper, a joint vehicle-beam allocation (VBA) and vehicular proximity (VP) algorithms for V2I and V2V, respectively are proposed to guarantee reliable coverage for vehicles. VBA is an SINR optimization algorithm, and VP is based on LTE Mode 4, a proximity based service for V2V communications. It is shown that setting a flexible SINR threshold helps in attaining a reliable beam coverage region in switched-beam based V2I communication. It is proven that the outage probability are also directly dependent on SINR thresholds. Lastly, the concept of utility ratio is also introduced as a metric for reliability. Simulation results show that joint V2I and V2V communication significantly improves the utility ratio.

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Joint Beam and Resource Allocation in 5G mmWave Small Cell Systems

Cited by 33 publications

References 20 publications

Survey of Radio Resource Management in 5G Heterogeneous Networks

Survey of Radio Resource Management in 5G Heterogeneous Networks

Adaptive Power Control with Vehicular Trellis Architecture for Vehicular Communication Systems

Joint Vehicle-Beam Allocation for Reliability and Coverage in Vehicular Communication Systems

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