24,509 research outputs found
Poster: Resource Allocation with Conflict Resolution for Vehicular Sidelink Broadcast Communications
In this paper we present a graph-based resource allocation scheme for
sidelink broadcast V2V communications. Harnessing available information on
geographical position of vehicles and spectrum resources utilization, eNodeBs
are capable of allotting the same set of sidelink resources to different
vehicles distributed among several communications clusters. Within a
communications cluster, it is crucial to prevent time-domain allocation
conflicts since vehicles cannot transmit and receive simultaneously, i.e., they
must transmit in orthogonal time resources. In this research, we present a
solution based on a bipartite graph, where vehicles and spectrum resources are
represented by vertices whereas the edges represent the achievable rate in each
resource based on the SINR that each vehicle perceives. The aforementioned time
orthogonality constraint can be approached by aggregating conflicting vertices
into macro-vertices which, in addition, reduces the search complexity. We show
mathematically and through simulations that the proposed approach yields an
optimal solution. In addition, we provide simulations showing that the proposed
method outperforms other competing approaches, specially in scenarios with high
vehicular density.Comment: arXiv admin note: substantial text overlap with arXiv:1805.0655
A Two-Stage Allocation Scheme for Delay-Sensitive Services in Dense Vehicular Networks
Driven by the rapid development of wireless communication system, more and
more vehicular services can be efficiently supported via vehicle-to-everything
(V2X) communications. In order to allocate radio resource with the reasonable
implementation complexity in dense urban intersection, a two-stage allocation
algorithm is proposed in this paper, whose main objective is to minimize delay
and ensure reliability. In particular, as for the first stage, the allocation
policy is based on traffic density information (TDI), which is different from
utilizing channel state information (CSI) and queue state information (QSI) in
the second stage. Moreover, in order to reflect the influence of TDI on delay,
a macroscopic vehicular mobility model is employed in this paper. Simulation
results show that the proposed algorithm can acquire an asymptotically optimal
performance with the acceptable complexity
Heterogeneous Vehicular Networks
This brief examines recent developments in the Heterogeneous Vehicular NETworks (HETVNETs), integrating cellular networks with Dedicated Short-Range Communication (DSRC) for meeting the communications requirements of the Intelligent Transport System (ITS)services. Along with a review of recent literature, a unified framework of the HetVNET is presented. The brief focuses on introducing efficient MAC mechanisms for vehicular communications, including channel access protocols, broadcast/multicast protocols, the location-based channel congestion control scheme and the content-based resource allocation scheme. The cooperative communication between vehicles is discussed. This brief concludes with a discussion on future research directions, and provides the readers with useful insights into the future designs in the HetVNETs, to motivate new ideas for performance improvements in vehicular networks
Spectrum- and Energy-Efficient Radio Resource Allocation for Wireless Communications
Wireless communications has been evolved significantly over the last decade. During this period, higher quality of service (QoS) requirements have been proposed to support various services. In addition, due to the increasing number of wireless devices and transmission, the energy consumption of the wireless networks becomes a burden. Therefore, the energy efficiency is considered as important as spectrum efficiency for future wireless communications networks, and spectrum and energy efficiency have become essential research topics in wireless communications. Moreover, due to the exploding of number mobile devices, the limited radio resources have become more and more scarce. With large numbers of users and various QoS requirements, a lot of wireless communications networks and techniques have emerged and how to effectively manage the limited radio resources become much more important.
In this dissertation, we focus our research on spectrum- and energy-efficient resource allocation schemes in wireless communication networks. Recently, heterogeneous networks (HetNets) have been proposed and studied to improve the spectrum efficiency. In a two-tier heterogeneous network, small base stations reuse the same spectrum with macro base stations in order to support more transmission over the limited frequency bands. We design a cascaded precoding scheme considering both interference cancellation and power allocation for the two-tier heterogeneous network. Besides heterogeneous networks, as the fast development of intelligent transportation, we study the spectrum- and energy-efficient resource allocation in vehicular communication networks. The intelligent transportation and vehicular communications both have drawn much attention and are faced special wireless environment, which includes Doppler effects and severe uncertainties in channel estimation. A novel designed spectrum efficiency scheme is studied and verified. With consideration of energy efficiency, the device-to-device (D2D) enabled wireless network is an effective network structure to increase the usage of spectrum. From a device\u27s perspective, we design an energy-efficient resource allocation scheme in D2D communication networks. To improve the energy efficiency of wireless communication networks, energy harvesting technique is a powerful way. Recently, the simultaneous wireless information and power transfer (SWIPT) has been proposed as a promising energy harvesting method for wireless communication networks, based on which we derive an energy-efficient resource allocation scheme for SWIPT cooperative networks, which considers both the power and relay allocation.
In addition to the schemes derivation for spectrum- and energy-efficient resource allocation, simulation results and the proofs of the proposed propositions are provided for the completeness of this dissertation
URLLC-Awared Resource Allocation for Heterogeneous Vehicular Edge Computing
Vehicular edge computing (VEC) is a promising technology to support real-time
vehicular applications, where vehicles offload intensive computation tasks to
the nearby VEC server for processing. However, the traditional VEC that relies
on single communication technology cannot well meet the communication
requirement for task offloading, thus the heterogeneous VEC integrating the
advantages of dedicated short-range communications (DSRC), millimeter-wave
(mmWave) and cellular-based vehicle to infrastructure (C-V2I) is introduced to
enhance the communication capacity. The communication resource allocation and
computation resource allocation may significantly impact on the ultra-reliable
low-latency communication (URLLC) performance and the VEC system utility, in
this case, how to do the resource allocations is becoming necessary. In this
paper, we consider a heterogeneous VEC with multiple communication technologies
and various types of tasks, and propose an effective resource allocation policy
to minimize the system utility while satisfying the URLLC requirement. We first
formulate an optimization problem to minimize the system utility under the
URLLC constraint which modeled by the moment generating function (MGF)-based
stochastic network calculus (SNC), then we present a Lyapunov-guided deep
reinforcement learning (DRL) method to convert and solve the optimization
problem. Extensive simulation experiments illustrate that the proposed resource
allocation approach is effective.Comment: 29 pages, 14 figure
Radio Resource Management for D2D-based V2V Communication
Direct device-to-device (D2D) communication has been proposed as a possible enabler for vehicle-to-vehicle (V2V) applications, where the incurred intra-cell interference and the stringent latency and reliability requirements are challenging issues. In this paper, we investigate the radio resource management problem for D2D-based V2V communications. Firstly, we analyze and mathematically model the actual requirements for vehicular communications and traditional cellular links. Secondly, we propose a problem formulation to fulfill these requirements, and then a Separate Resource Block allocation and Power control (SRBP) algorithm to solve this problem. Finally, simulations are presented to illustrate the improved performance of the proposed SRBP scheme compared to some other existing methods
D2D-based V2V Communications with Latency and Reliability Constraints
Direct device-to-device (D2D) communication has been proposed as a possible enabler for vehicle-to-vehicle (V2V) applications, where the incurred intra-cell interference and the stringent latency and reliability requirements are challenging issues. In this paper, we investigate the radio resource management problem for D2D-based V2V communications. Firstly, we analyze and mathematically model the actual requirements for vehicular communications and traditional cellular links. Secondly, we propose a problem formulation to fulfill these requirements, and then a Separate Resource Block allocation and Power control (SRBP) algorithm to solve this problem. Finally, simulations are presented to illustrate the improved performance of the proposed SRBP scheme compared to some other existing methods
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