Cell Performance-Optimization Scheduling Algorithm Using Reinforcement Learning for LTE-Advanced Network

Feki, S.; Zarai, Faouzi

doi:10.1109/aiccsa.2017.114

Cited by 8 publications

(2 citation statements)

References 11 publications

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“…Zegallai and Awad 11 proposed a packet schedule and resource allocation scheme with carrier aggregation technique to improve the system quality of experience performance in LTE‐A cellular networks. Feki and Zarai 12 proposed a new neural Q‐learning‐based scheduling algorithm in LTE‐A cellular networks to obtain the desired tradeoff level between fairness and throughput. A new flexible scheduling algorithm was proposed in Li et al 13 to improve system throughput and radio resource utilization in mobile cellular communication networks.…”

Section: Introductionmentioning

confidence: 99%

An optimized cooperative data transmission scheme in relay‐enabled cellular communication networks

Wang,

Ren,

Zhang

2024

Int J Communication

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SummaryCooperative transmission is of great significance in data transmission and resource schedule in mobile cellular communication networks. To attain the desired network transmission performance objectives over the whole cellular network system, we propose an appropriate cooperative data transmission scheme to optimize the data delivery efficiency in terms of the transmission time consumption for each and every transmission group. The proposed transmission optimization scheme includes the tasks of determining the transmission group, allocating the channel rate resource, specifying the cooperative transmission mechanism, and performing resource allocation and schedule as well. Firstly, we propose a utility function based rate allocation scheme to optimize the channel rate resource utilization for all those transmission groups over the cellular communication network. Based on it, we further present a cooperative data transmission scheme to deal with the data delivery and reception for all those subgroups with high efficiency over the whole network system. Particularly, we propose a resource efficiency function‐based coordination scheduling (EFCS) scheme to conduct the cooperative data transmission and resource schedule as well for each transmission group within the network. The EFCS scheme facilitates to determine the subgroups for schedule over each scheduling cycle, which can produce the best data transmission efficiency across both the direct and cooperative transmission hop. Both the theoretical analysis and the simulation evaluation results verify the superior performance of our proposed cooperative data transmission scheme.

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Section: Introductionmentioning

confidence: 99%

An optimized cooperative data transmission scheme in relay‐enabled cellular communication networks

Wang,

Ren,

Zhang

2024

Int J Communication

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“…Furthermore, resources in LTE are orthogonal, which allow higher multiplexing as well as capacity and reliability increase. However, the main problem with LTE solution is the higher complexity of protocols …”

Section: Introductionmentioning

confidence: 99%

Swarm intelligence‐based radio resource management for V2V‐based D2D communication

Feki¹,

Masmoudi²,

Belghith

et al. 2018

Int J Communication

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Internet of Things is a promising paradigm that provides the future network of interconnected devices. Device-to-Device (D2D) communication, which is considered as an enabler for vehicle-to-everything applications, has become an emerging technology to optimize network performance. In this paper, we study the Radio Resource Management (RRM) issue for D2D-based Vehicle-to-Vehicle communication. The RRM key role is to assure the proficient exploitation of available resources while serving users according to their quality of service parameters. An Ant Colony Optimization (ACO)-based Resource Allocation (ACORA) scheme is proposed in this paper. Swarm intelligence algorithm ACO is adopted to reduce the computational complexity while realizing satisfactory performance. Simulation results show promising performance of our proposed ACORA scheme. KEYWORDSD2D communication, Internet of Things, radio resource management, software defined networks | INTRODUCTIONInternet of Things (IoT) is an integrated element of future Internet containing existing and evolving networks as well as Internet progress. Conceptually, it could be defined as a global dynamic network infrastructure with self-management and self-configuration capabilities based on interoperable and standard communication protocols. 1 Device-to-Device (D2D) communication is an important part of the IoT, in which devices autonomously communicate and collaborate with each other, share, and forward information without centralized control in a multi-hop way. The ability to collect pertinent information in real time is the key to support the value of IoT, expediting the creation of an intelligent environment. Vehicle-to-Everything (V2X) is based on D2D communication. V2X is an emerging technology that enhances and leverages existing Long-Term Evolution (LTE) network elements and features to assure the communication between vehicles and the infrastructure as well as between vehicles. The attractiveness of this emergent technology is due to its ability to support safety use cases with stringent bandwidth, delay, and reliability requirements. 2 In release 12 3 and release 13 4 of LTE, V2X is introduced as part of the Proximity Services (ProSe). 5 It includes many applications, such as travel information, navigation and driver assistance, payment transactions, fleet management, congestion avoidance, safety, and traffic control.V2X communication consist of different kinds of communications: Vehicle-to-Vehicle (V2V), Vehicle-to-Network (V2N), Vehicle-to-Pedestrian (V2P), and Vehicle-to-Infrastructure (V2I). 6 As V2V communication has elevated density and speed, it introduces several technical challenges especially the latency and reliability requirements. Guaranteeing these Quality of Service (QoS) requirements for V2V services is still a challenge that must be tackled. IEEE 802.11p 7 was the first standard for V2V communication until 2016. The Third Generation Partnership Project (3GPP), introduced in release 14 of LTE, features addressing direct V2V communications. 8,9 The mai...

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A Mixed Traffic Sharing and Resource Allocation for V2X Communication

Masmoudi

Feki

Mnif

et al. 2019

E-Business and Telecommunications

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Cell Performance-Optimization Scheduling Algorithm Using Reinforcement Learning for LTE-Advanced Network

Cited by 8 publications

References 11 publications

An optimized cooperative data transmission scheme in relay‐enabled cellular communication networks

An optimized cooperative data transmission scheme in relay‐enabled cellular communication networks

Swarm intelligence‐based radio resource management for V2V‐based D2D communication

A Mixed Traffic Sharing and Resource Allocation for V2X Communication

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