A hierarchical radio resource management scheme for next generation cellular networks

Soleymani, Dariush M.; Puschmann, André; Roth-Mandutz, Elke; Mueckenheim, Jens; Mitschele‐Thiel, Andreas

doi:10.1109/wcnc.2016.7564706

Cited by 3 publications

(2 citation statements)

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“…In this category, the proposed solutions include relaying MTCDs to the eNB while connecting H2H users directly to the eNB, with an orthogonal resource partitioning between the access link and backhaul link [7], an Energy-aware radio resource management (RRM) [8], an energy-efficient resource allocation algorithm with the objective of maximizing bitsper-joule [10]. A context-aware resource management approach for MTCD gateways is proposed in [9], while in [10], a delay-aware radio resource scheduler algorithm that satisfies the QoS requirements for MTCD and H2H is presented, and a hierarchical RRM approach is proposed in [11]. In [12], a type-2 fuzzy logic controller mechanism is used for radio resource allocation for MTCDs in co-existence with H2H within LTE, and a real-time spectrum analyzer is used for resource management in [13].…”

Section: A Radio Resource Allocation For M2m Within Lte-a Without Data Aggregationmentioning

confidence: 99%

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QoS-Based Data Aggregation and Resource Allocation Algorithm for Machine Type Communication Devices in Next-Generation Networks

Ahmed

Rikli

2021

IEEE Access

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Machine Type Communication (MTC) becomes one of enablers of the internet of things, it faces many challenges in its integration with human-to-human (H2H) communication methods. To this aim, the Long Term Evolution (LTE) needs some adaptation in the scheduling algorithms that assign resources efficiently to both MTC devices (MTCDs) and H2H users. The minimum amount of LTE resources that can be assigned to one user is much larger than the requirements of a single MTCD. In this paper, a QoS-enabled algorithm is proposed to aggregate MTCD traffic coming from many sources at the Relay Node (RN) that classifies and aggregates the MTCD traffic based on the source type and delay requirements. In this study, three types of MTCD and one H2H sources will be considered. Each type of MTCD traffic will be grouped into a separate queue, and will be served with the appropriate priority. Resources are then assigned to the aggregated MTC traffic instead of an individual assignment for each MTCD, while the H2H users will be directly connected to the LTE. Two schemes of resource partitioning and sharing between the MTCDs and the H2H users will be considered: one proportional and the other moving-boundary. Simulation models will be built to evaluate the proposed algorithms. While the obtained results for the first scheme showed a clear improvement in LTE resource utilization for the MTCDs, a negative effect was noticed in the performance of the H2H users. The second scheme achieved a positive improvement for both MTCDs and H2H users. INDEX TERMS5G networks, Data aggregation, Internet of Things IoT, MTC, resource allocation, Quality of Service QoS. I. INTRODUCTIONAn increasing demand for high data rates, high capacity, and low latency to support a fully connected networked society that offers access to information and the sharing of data anywhere and anytime for anyone and anything, has led to the introduction of a new type of communication paradigm called machine-to-machine communication (M2M) or machine type communication (MTC). This type of communication implies that machines have the ability to communicate with each other in a smart approach without or with a minimum of human intervention [1]. Interest in MTCDs has increased in recent decades because they exist in many applications of the internet of things, such as but not limited to e-Healthcare, smart metering, smart cities, intelligent transportation systems, supply chains, surveillance monitoring systems, the prediction of natural disasters, and many social applications [2].LTE-Advanced (LTE-A) is a candidate as the most suitable cellular technology to support MTC, due to its high data rates, large coverage area, high capacity, and spectrum efficiency. However, there are many challenges in the integration of MTCDs in an LTE-A network [3][4][5]. LTE-A has largely been designed to support H2H devices, which typically require high data rates and a small delay, have a small number of users (compared to MTCDs) and transmit a large volume of data packets. In contrast, MTCDs have di...

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Section: A Radio Resource Allocation For M2m Within Lte-a Without Data Aggregationmentioning

confidence: 99%

“…In [11], the authors propose a hierarchical RRM approach. As in typical MTCD applications, the amount of data consumed is relatively small, the RBs granted to MTCD are not fully consumed.…”

Section: A Radio Resource Allocation For M2m Within Lte-a Without Data Aggregationmentioning

confidence: 99%

QoS-Based Data Aggregation and Resource Allocation Algorithm for Machine Type Communication Devices in Next-Generation Networks

Ahmed

Rikli

2021

IEEE Access

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Latency Reduction in Narrowband 4G LTE Networks

Amjad

Sikora

Lauffenburger

et al. 2018

2018 15th International Symposium on Wireless Communication Systems (ISWCS)

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Open sub-granting radio resources in overlay D2D-based V2V communications

Soleymani

Gholami

Galdo

et al. 2022

J Wireless Com Network

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Capacity, reliability, and latency are seen as key requirements of new emerging applications, namely vehicle-to-everything (V2X) and machine-type communication in future cellular networks. D2D communication is envisaged to be the enabler to accomplish the requirements for the applications as mentioned earlier. Due to the scarcity of radio resources, a hierarchical radio resource allocation, namely the sub-granting scheme, has been considered for the overlay D2D communication. In this paper, we investigate the assignment of underutilized radio resources from D2D communication to device-to-infrastructure communication, which are moving in a dynamic environment. The sub-granting assignment problem is cast as a maximization problem of the uplink cell throughput. Firstly, we evaluate the sub-granting signaling overhead due to mobility in a centralized sub-granting resource algorithm, dedicated sub-granting radio resource (DSGRR), and then a distributed heuristics algorithm, open sub-granting radio resource (OSGRR), is proposed and compared with the DSGRR algorithm and no sub-granting case. Simulation results show improved cell throughput for the OSGRR compared with other algorithms. Besides, it is observed that the overhead incurred by the OSGRR is less than the DSGRR while the achieved cell throughput is yet close to the maximum achievable uplink cell throughput.

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A hierarchical radio resource management scheme for next generation cellular networks

Cited by 3 publications

References 8 publications

QoS-Based Data Aggregation and Resource Allocation Algorithm for Machine Type Communication Devices in Next-Generation Networks

QoS-Based Data Aggregation and Resource Allocation Algorithm for Machine Type Communication Devices in Next-Generation Networks

Latency Reduction in Narrowband 4G LTE Networks

Open sub-granting radio resources in overlay D2D-based V2V communications

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