Multiuser Full-Duplex Relaying: Enabling Dual Connectivity via Impairments-Aware Successive Interference Cancellation

Radhakrishnan, Vimal; Taghizadeh, Omid; Mathar, Rudolf

doi:10.1109/jsyst.2020.3042060

Cited by 4 publications

(4 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…NSA mode provides 5G services by EN-DC, i.e., LTE and 5G DC [127]- [130]. However, DC has lower performance than carrier aggregation.…”

Section: ) Easy To Support 5g Camentioning

confidence: 99%

Dynamic Spectrum Sharing for 5G NR and 4G LTE Coexistence - A Comprehensive Review

Saha,

Cioffi

2024

IEEE Open J. Commun. Soc.

View full text Add to dashboard Cite

In the early phase, the number of new radio (NR) users is considerably low compared to the long-term evolution (LTE) users. Hence, allocating the LTE spectrum to a small number of NR users will have a detrimental effect on the LTE users. To overcome this backdrop, dynamic spectrum sharing (DSS) between LTE and NR has become an emerging technology where both systems can coexist on the same LTE spectrum. However, the most critical factor for LTE and NR coexistence is to share the spectrum resources of LTE systems with data and control signals necessary to operate NR systems subject to not impacting LTE operations. In line with this, a comprehensive understanding of DSS for LTE and NR coexistence taking into account diversified concerns is presented in this paper. First, an overview of the technological background of essential signals and channels of both LTE and NR systems to enable DSS for their coexistence is given. Numerous deployment options and potential design considerations of DSS are then discussed. The application of DSS to both multicast-broadcast single-frequency network (MBSFN) and non-MBSFN LTE subframes under NR with and without synchronization signal/ physical broadcast channels (PBCH) block (SSB) transmissions is examined. Further, the third-generation partnership project (3GPP) standardization activities towards DSS in its different releases are discussed, numerous use cases are highlighted, and the significance and limitations of DSS are identified. To provide additional insights, the relative comparison of potential aspects of several DSS concerns including, deployment options, design considerations, DSS applications, and 3GPP standardization efforts, is carried out. Finally, a summary of key lessons learned is provided in terms of numerous facts and figures.

show abstract

“…NSA mode provides 5G services by EN-DC, i.e., LTE and 5G DC [127]- [130]. However, DC has lower performance than carrier aggregation.…”

Section: ) Easy To Support 5g Camentioning

confidence: 99%

Dynamic Spectrum Sharing for 5G NR and 4G LTE Coexistence - A Comprehensive Review

Saha,

Cioffi

2024

IEEE Open J. Commun. Soc.

View full text Add to dashboard Cite

show abstract

“…Proactive handover alone cannot guarantee accurate blockage prediction every time, and the use of AI algorithms in self‐configuration alone cannot prevent service delays caused by handover. Device‐centric communication can integrate small BSs directly with existing infrastructure, reducing mmWave link outages and avoiding service downtime 37 . However, few existing works discuss the use of DC in dense networks.…”

Section: Related Workmentioning

confidence: 99%

“…Device-centric communication can integrate small BSs directly with existing infrastructure, reducing mmWave link outages and avoiding service downtime. 37 However, few existing works discuss the use of DC in dense networks. With the future increase in connectivity options, access to more terminals, and denser BS deployments, machine learning techniques are becoming crucial to replace traditional mathematical modeling and algorithms.…”

Section: Related Workmentioning

confidence: 99%

Double‐deep Q‐learning‐based handover management in mmWave heterogeneous networks with dual connectivity

Wang,

2023

Trans Emerging Tel Tech

View full text Add to dashboard Cite

Millimeter wave (mmWave) technology, with its abundant spectrum resources and ultra‐high bandwidth, plays a crucial role in meeting the ultra‐high throughput requirements of future 6G communication and supporting a large number of device connections. However, mmWave signals are highly susceptible to congestion, and the channel quality in mmWave links can be extremely unstable, posing a significant challenge to mobility management in mmWave networks. In this article, we present a deep reinforcement learning‐based dual connectivity (DC) handover strategy for mmWave cellular networks. The DC architecture ensures a continuous connection to the core network, reducing the likelihood of frequent service interruptions. Additionally, the proposed handover strategy employs deep reinforcement learning to select the optimal handover target node, further enhancing system performance. Compared to traditional single connectivity (SC) handover strategies, DC involves more intricate handover trigger conditions and processes. We extend several typical SC handover algorithms for DC and compare them with the proposed algorithms in this study. Through numerical simulations, we evaluate the performance of these algorithms. The results demonstrate that the proposed algorithm minimizes unnecessary handovers, reduces service interruption time, and achieves the highest throughput.

show abstract

“…Different research projects have combined the ideas of spectrum and interference management and multi-connectivity: [ 116 , 117 , 118 , 119 , 120 , 121 , 122 ].…”

Section: Existing Applications Of Multi-connectivity In 5g Network An...mentioning

confidence: 99%

Multi-Connectivity for 5G Networks and Beyond: A Survey

Sylla

Mendiboure

Maaloul

et al. 2022

Sensors

View full text Add to dashboard Cite

To manage a growing number of users and an ever-increasing demand for bandwidth, future 5th Generation (5G) cellular networks will combine different radio access technologies (cellular, satellite, and WiFi, among others) and different types of equipment (pico-cells, femto-cells, small-cells, macro-cells, etc.). Multi-connectivity is an emerging paradigm aiming to leverage this heterogeneous architecture. To achieve this, multi-connectivity proposes to enable UE to simultaneously use component carriers from different and heterogeneous network nodes: base stations, WiFi access points, etc. This could offer many benefits in terms of quality of service, energy efficiency, fairness, mobility, and spectrum and interference management. Therefore, this survey aims to present an overview of multi-connectivity in 5G networks and beyond. To do so, a comprehensive review of existing standards and enabling technologies is proposed. Then, a taxonomy is defined to classify the different elements characterizing multi-connectivity in 5G and future networks. Thereafter, existing research works using multi-connectivity to improve the quality of service, energy efficiency, fairness, mobility management, and spectrum and interference management are analyzed and compared. In addition, lessons common to these different contexts are presented. Finally, open challenges for multi-connectivity in 5G networks and beyond are discussed.

show abstract

Multiuser Full-Duplex Relaying: Enabling Dual Connectivity via Impairments-Aware Successive Interference Cancellation

Cited by 4 publications

References 32 publications

Dynamic Spectrum Sharing for 5G NR and 4G LTE Coexistence - A Comprehensive Review

Dynamic Spectrum Sharing for 5G NR and 4G LTE Coexistence - A Comprehensive Review

Double‐deep Q‐learning‐based handover management in mmWave heterogeneous networks with dual connectivity

Multi-Connectivity for 5G Networks and Beyond: A Survey

Contact Info

Product

Resources

About