Joint User Pairing and Association for Multicell NOMA: A Pointer Network-Based Approach

Ma, Manyou; Wong, Vincent W. S.

doi:10.1109/iccworkshops49005.2020.9145383

Cited by 9 publications

(3 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This effort aims to provide 5G's isolation and springiness by solving the user connection [30]. The Pointer Network (PtrNet) architecture supports NOMA's user association and pairing [31]. Whilst, none of those aforementioned above addresses intra and inter-isolation overlaps between slices when analysing cell association or resource allocation addresses intra and inter-isolation overlap between slices when analysing cell connection or resource allocation.…”

Section: Related Workmentioning

confidence: 99%

“…Whilst the eMBBD with the weakest channel conditions couldnot wholly cancel the interference of uRLLCDs' messages, which results in increased rate for the eMBBD. With 𝛽 base stations, each with 𝒩 RBs, the network may support 2𝛽𝒩 devices concurrently utilizing H-NOMA [31]. We assume a system design in which eMBB traffic is transmitted over long TTIs 𝒯 , while uRLLC traffic is transmitted over short TTIs 𝛿 by superimposing the ongoing eMBB transmissions [20].…”

Section: System Modelmentioning

confidence: 99%

See 1 more Smart Citation

Fairness Oriented H-NOMA Devices Association and Pairing in HCN Slicing Using Cooperation Games

Riad¹,

Elghandour²,

El-Haleem³

2022

ISI

View full text Add to dashboard Cite

Device association (DA) and pairing (DP) are presented in this letter to evaluate the fairness of different services between enhanced mobile broadband devices (eMBBDs) and ultra-reliability low latency communications devices (uRLLCDs) in RAN-slicing, which has emerged as a viable technique for enhancing total network throughput in heterogeneous cellular networks (HCNs) design. To optimize the eMBBDs' downlink (DL) sum rate while fulfilling the provisions of the uRLLC traffic. A cooperative Nash bargaining solution (NBS) is formulated to depict the association method. First, base stations (BSs) create random pairings between heterogeneous non-orthogonal multi-access (H-NOMA) devices. The BSs are classified into coalitions through the Hungarian approach. So, a two-band partition algorithm is evolved for the two BSs in each coalition to negotiate their allocated devices to improve the NBS utility. A multiplayer bargaining approach is constructed using this algorithm and the Hungarian technique. After finishing the DA process, we study the cooperative matching algorithm to optimize the pairing problem between devices' slices. Simulation results demonstrate that comparing the proposed approach to other schemes can achieve a significant DL rate distribution for eMBBDs, device-side latency for uRLLCDs, and fairness improvements.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Fairness Oriented H-NOMA Devices Association and Pairing in HCN Slicing Using Cooperation Games

Riad¹,

Elghandour²,

El-Haleem³

2022

ISI

View full text Add to dashboard Cite

show abstract

“…In [ 37 ], using a matching game, UE association in a cellular virtualization network captures UE and BS preferences, QoS needs, and backhaul limitations. The Pointer Network (PtrNet) architecture implements NOMA’s joint UE pairing and association schemes [ 38 ]. Recently, a matching game has been proposed for wireless UE affiliation and resource allocation [ 39 ].…”

Section: Introductionmentioning

confidence: 99%

Joint User-Slice Pairing and Association Framework Based on H-NOMA in RAN Slicing

Riad

Elghandour

El-Haleem

2022

Sensors

View full text Add to dashboard Cite

Multiservice cellular in Radio Access Network (RAN) Slicing has recently attained huge interest in enhancing isolation and flexibility. However, RAN slicing in heterogeneous networks (HetNet) architecture is not adequately explored. This study proposes a pairing-network slicing (NS) approach for Multiservice RAN that cares about quality of service (QoS), baseband resources, capacities of wireless fronthaul and backhaul links, and isolation. This intriguing approach helps address the increased need for mobile network traffic produced by a range of devices with various QoS requirements, including improved dependability, ultra-reliability low-latency communications (uRLLC), and enhanced broadband Mobile Services (eMBB). Our study displays a unique RAN slicing framework for user equipment (UE) for joint user-association. Multicell non-orthogonal multiple access (NOMA)-based resource allocation across 5G HetNet under successive interference cancelation (SIC) is seen to achieve the best performance. Joint user-slice pairing and association are optimization problems to maximize eMBB UE data rates while fulfilling uRLLC latency and reliability criteria. This is accomplished by guaranteeing the inter- and intra-isolation property of slicing to eliminate interferences between eMBB and uRLLC slices. We presented the UE-slice association (U-S. A) algorithm as a one-to-many matching game to create a stable connection between UE and one of the base stations (BSs). Next, we use the UE-slice pairing (U-S. P) algorithm to find stable uRLLC-eMBB pairs that coexist on the same spectrum. Numerical findings and performance analyses of the submitted association and pairing technique show they can all be RAN slicing criteria. We prove that the proposed algorithm optimizes system throughput while decreasing uRLLC latency by associating and pairing every uRLLC user in mini slots.

show abstract

Deep Learning Enhanced NOMA System: A Survey on Future Scope and Challenges

Andiappan

Ponnusamy

2021

Wireless Pers Commun

View full text Add to dashboard Cite

Joint User Pairing and Association for Multicell NOMA: A Pointer Network-Based Approach

Cited by 9 publications

References 9 publications

Fairness Oriented H-NOMA Devices Association and Pairing in HCN Slicing Using Cooperation Games

Fairness Oriented H-NOMA Devices Association and Pairing in HCN Slicing Using Cooperation Games

Joint User-Slice Pairing and Association Framework Based on H-NOMA in RAN Slicing

Deep Learning Enhanced NOMA System: A Survey on Future Scope and Challenges

Contact Info

Product

Resources

About