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/wcncw.2016.7552735

Cited by 7 publications

(11 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consequently, 6 bytes are needed to capture the physical and the Medium Access Control (MAC) layer overhead [9], which resulted in 11 bytes overhead in the OSGRR algorithm. Note that the sub-granting signaling imposes the same overhead on both algorithms, which amounted to 1 byte [5]. Table 4 illustrates components and size of the overhead in both algorithms.…”

Section: Resultsmentioning

confidence: 99%

“…As a result, a part of allocated resources is wasted, especially for the overlay radio resource allocation. In [5], a new idea of sub-granting has been proposed wherein the allocated but not fully utilized resources are granted in a finer granularity to the other nearby users, i.e., beneficiary users. Further studies have been conducted in [6] and [7] to improve the efficiency of the sub-granting scheme.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Sub-Granting Radio Resources in Overlay D2D-Based V2V Communications

Soleymani

Gholami

Mueckenheim

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

Abstract Capacity, reliability, and latency are seen as key requirements of new emerging applications, namely Vehicleto- Everthings (V2X) and Machine Type Communication (MTC) in future cellular networks. Device-to-Device (D2D) communication is envisaged to be the enabler to accomplish the requirements for the aforementioned applications. Due to the scarcity of radio resources, 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 un-utilized radio resources to Device-to-Infrastructure (D2I) users, i.e., beneficiary user, for moving users in a dynamic environment. The sub-granting assignment problem is mathematically cast as the uplink cell throughput maximization problem. To this end, two heuristics are proposed: 1) Dedicated Sub-Granting Radio Resource (DSGRR) in a centralized manner, and 2) Open Sub-Granting Radio Resource (OSGRR) in a distributed fashion. Simulation results show improved cell throughput for the OSGRR compared with the DSGRR yet less overhead while having reasonable tightness to the maximum achievable uplink throughput.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sub-Granting Radio Resources in Overlay D2D-Based V2V Communications

Soleymani

Gholami

Mueckenheim

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…The rest of the symbols unused by the device could be delegated to another device that needs it. Thus, it is introduced the D2D communications for resource delegation in [ 18 ]. That work proposes a framework which is divided into two main algorithms, one of them is for the device that requests resources (called Cellular User Equipment C-UE), and the other one is for the device that offers resources (denominated Device-To-Device User Equipment D2D-UE).…”

Section: Related Workmentioning

confidence: 99%

Random-Access Accelerator (RAA): A Framework to Speed Up the Random-Access Procedure in 5G New Radio for IoT mMTC by Enabling Device-To-Device Communications

Medel

Brito

2020

Sensors

View full text Add to dashboard Cite

Mobile networks have a great challenge by serving the expected billions of Internet of Things (IoT) devices in the upcoming years. Due to the limited simultaneous access in the mobile networks, the devices should compete between each other for resource allocation during a Random-Access procedure. This contention provokes a non-depreciable delay during the device’s registration because of the great number of collisions experienced. To overcome such a problem, a framework called Random-Access Accelerator (RAA) is proposed in this work, in order to speed up network access in massive Machine Type Communication (mMTC). RAA exploits Device-To-Device (D2D) communications, where devices with already assigned resources act like relays for the rest of devices trying to gain access in the network. The simulation results show an acceleration in the registration procedure of 99%, and a freed space of the allocated spectrum until 74% in comparison with the conventional Random-Access procedure. Besides, it preserves the same device’s energy consumption compared with legacy networks by using a custom version of Bluetooth as a wireless technology for D2D communications. The proposed framework can be taken into account for the standardization of mMTC in Fifth-Generation-New Radio (5G NR).

show abstract

“…ω k (s + 1) = ω k (s)exp( γr k,s K ) (16) end end terms in (13) and (14) are achieved through different sets, where F s is the set containing those wrongly predicted nodes in k s . The reason is that with the partial information obtained from this feedback, it is impossible to draw the conclusion that other nodes in j (not involved in k s ) will fail to access the BS in the reserved RBs at t s .…”

Section: Algorithm 3: Dynamic Reservation Prediction Strategymentioning

confidence: 99%

“…Therefore, access latency will be reduced at the expense of spectrum resources if SPS is applied for the uplink scheduling in MTC without enhancements [8]. As the solution, some efforts have been made to deal with diverse QoS requirements through clustering [9][10] [11], and coarse granularity of pre-assigned resources via adaptive allocation by BSR, or reusing vacant dedicated resources through device-to-device (D2D) technique [12] [13]. However, some of these solutions may lead to extra access latency due to the additional overhead during information exchange.…”

Section: Introductionmentioning

confidence: 99%

Predictive Pre-allocation for Low-latency Uplink Access in Industrial Wireless Networks

Guan

Hua

et al. 2018

IEEE INFOCOM 2018 - IEEE Conference on Computer Communications

View full text Add to dashboard Cite

Driven by mission-critical applications in modern industrial systems, the 5th generation (5G) communication system is expected to provide ultra-reliable low-latency communications (URLLC) services to meet the quality of service (QoS) demands of industrial applications. However, these stringent requirements cannot be guaranteed by its conventional dynamic access scheme due to the complex signaling procedure. A promising solution to reduce the access delay is the pre-allocation scheme based on the semi-persistent scheduling (SPS) technique, which however may lead to low spectrum utilization if the allocated resource blocks (RBs) are not used. In this paper, we aim to address this issue by developing DPre, a predictive pre-allocation framework for uplink access scheduling of delay-sensitive applications in industrial process automation. The basic idea of DPre is to explore and exploit the correlation of data acquisition and access behavior between nodes through static and dynamic learning mechanisms in order to make judicious resource perallocation decisions. We evaluate the effectiveness of DPre based on several monitoring applications in a steel rolling production process. Simulation results demonstrate that DPre achieves better performance in terms of the prediction accuracy, which can effectively increase the rewards of those reserved resources.

show abstract

A hierarchical radio resource management scheme for next generation cellular networks

Cited by 7 publications

References 8 publications

Sub-Granting Radio Resources in Overlay D2D-Based V2V Communications

Sub-Granting Radio Resources in Overlay D2D-Based V2V Communications

Random-Access Accelerator (RAA): A Framework to Speed Up the Random-Access Procedure in 5G New Radio for IoT mMTC by Enabling Device-To-Device Communications

Predictive Pre-allocation for Low-latency Uplink Access in Industrial Wireless Networks

Contact Info

Product

Resources

About