A Dynamic Inter-cellular Bandwidth Fair Sharing scheduler for future wireless networks

Ezzaouia, Mahdi; Gueguen, Cédric; Ammar, Mahmoud; Baey, Sébastien; Lagrange, Xavier; Bouallègue, Ammar

doi:10.1016/j.phycom.2017.09.002

Cited by 6 publications

(8 citation statements)

References 44 publications

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“…Fairness should be considered while allocating resources (e.g., time slots, frequency) to cooperative nodes in order to improve the overall performance of the vehicular network. Fairness has been widely studied in different aspects of wireless networks including bandwidth allocation [111], channel assignment [112], and power control [113]. Fair resource allocation is the critical metric where each node expects to get an equal amount of bandwidth and power consumption.…”

Section: Requirements For Cooperative Vehicular Networkmentioning

confidence: 99%

Cooperative Vehicular Networking: A Survey

Ahmed

Gharavi

2018

IEEE Trans. Intell. Transport. Syst.

229

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With the remarkable progress of cooperative communication technology in recent years, its transformation to vehicular networking is gaining momentum. Such a transformation has brought a new research challenge in facing the realization of cooperative vehicular networking (CVN). This paper presents a comprehensive survey of recent advances in the field of CVN. We cover important aspects of CVN research, including physical, medium access control, and routing protocols, as well as link scheduling and security. We also classify these research efforts in a taxonomy of cooperative vehicular networks. A set of key requirements for realizing the vision of cooperative vehicular networks is then identified and discussed. We also discuss open research challenges in enabling CVN. Lastly, the paper concludes by highlighting key points of research and future directions in the domain of CVN.

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Section: Requirements For Cooperative Vehicular Networkmentioning

confidence: 99%

Cooperative Vehicular Networking: A Survey

Ahmed

Gharavi

2018

IEEE Trans. Intell. Transport. Syst.

229

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“…We used the adaptive Modulation and Coding (AMC) in order to adapt the modulation and coding scheme to the quality of the received signal. We followed the procedure described in [9] to perform the AMC. We start by using Shannon's formula to compute the spectral efficiency η k,n of UE k on subcarrier n associated to RRH i as follows:…”

Section: Performance Evaluation a The Channel Modelmentioning

confidence: 99%

“…where Γ = − ln(5.E)/1.5 is a SNR correction factor that takes into account the difference between the information-theoretic performances and the practical implementation of the MCS [10], and E is a BER Target. Finally, we use the LTE CQI efficiency table [9] to determine the number of bits that could be transmitted to a UE over a subcarrier.…”

Section: Performance Evaluation a The Channel Modelmentioning

confidence: 99%

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A dynamic transmission strategy based on network slicing for cloud radio access networks

Ezzaouia

Gueguen

Helou

et al. 2018

2018 Wireless Days (WD)

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The Cloud Radio Access Network (C-RAN) has clearly emerged as a promising evolution of wireless networks. This architecture consists in decoupling the baseband units (BBUs) from the remote radio heads (RRHs). The BBUs are pooled in the same centralized BBU pool, while the RRHs are distributed through different distant sites. Typically, the one-toone logical mapping consists in assigning one BBU to one RRH so that distinct frames are generated for each RRH. Also, a logical mapping of one BBU to many RRHs could be established in order to deliver the same frames of a single BBU to a cluster of RRHs. Motivated by the network slicing concept, we propose a hybrid transmission strategy where the resource units (RUs) of each frame are partitioned in two slices. The first one constitutes the unshared slice and is allocated to the cell center users (CCUs) according to the one-to-one logical mapping. The second slice is constituted by a quantity of RUs shared by a cluster of RRHs that belong to the same BBU. This last common slice is transmitted according to the one-to-many mapping in order to be allocated to the cell edge users (CEUs) and to the mobile users (MUs). We also present a flexible solution that dynamically adjusts the BBU-RRH mapping scheme (i.e., one-to-one, one-to-many or hybrid) based on the radio resource usage of BBUs. On the one hand, our proposed solution achieves close packet delay to the one-toone configuration, while providing lower power consumption and handover frequency. On the other hand, in comparison with the one-to-many configuration, our technique provides lower packet delay and subsequently better Quality of Service (QoS).

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“…In [2] propose a new intercellular Bandwidth Fair Sharing Scheduler (IBFS) able to help the overloaded cells thanks to a dynamic cell bandwidth allocation in multi-user 5G wireless networks. FFRDIBFS is proposed by [7] which distribute the frequencies in the overloaded cells without destroying the QOS of the underloaded cells, where the objective is to dynamically calculate the minimum bandwidth of an underloaded cell. In the second, the major advantage of using the evolutionary algorithms is the maximum exploitation and exploration of the search space to find the global optimum solution or near global optimum solution.…”

Section: Introductionmentioning

confidence: 99%

New strategy for resource allocation using PSO-PFS hybrid

Sylia

Gueguen

Brikh

et al. 2020

IJWMC

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In this article, we study the problem of resource allocation in a tri-sectoral cell in order to have an equal distribution of resources among users taking into account the OFDM transmission technique that has evolved in future wireless networks LTE and 5G. We propose a new strategy for resource allocation schemes able to help the users with a critical position thanks to hybridization PSO-PFS (Particle Swarm Optimization). In addition, PFS (Proportional Fair Scheduling) it take into consideration the channel state conditions of the users and the PSO algorithm provides an optimal solution to the allocation problem and improves the performances of users according to their stat. The simulation results show that the allocation of resources by the PSO-PFS hybrid algorithm guarantee a high throughput of the system by ensuring fairness between users.

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A Dynamic Inter-cellular Bandwidth Fair Sharing scheduler for future wireless networks

Cited by 6 publications

References 44 publications

Cooperative Vehicular Networking: A Survey

Cooperative Vehicular Networking: A Survey

A dynamic transmission strategy based on network slicing for cloud radio access networks

New strategy for resource allocation using PSO-PFS hybrid

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