Ultra-thin and conformal SSPP based UWB low pass filter for B5G Radio Stripe Networks

Lakkimsetti, Sunanda; Kshetrimayum, Rakhesh Singh

doi:10.1109/apace53143.2021.9760624

Cited by 2 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [123], the maximization of per-UE UL SE in an RS with limited capacity is investigated, employing a novel arrangement of APs and utilizing a compare-and-forward strategy to enable UL clustering cooperation, while in [137] a similar study is performed with a novel MMSE algorithm that leads to optimal results, minimizing MSE. In [124,125], new designs of low-pass filters for use in RS networks are addressed. In [133], the authors enable joint positioning and synchronization in the UL channel at sub-6 GHz bands by including the clock and phase offset of the UEs and deriving the maximum likelihood (ML) estimator.…”

Section: Developments On Radio Stripe Technologymentioning

confidence: 99%

“…Uplink (UL) NLMMSE-based [115] OSLP-based [116] RZF-based [119] Quasi-LMMSE-based [120] Clustered-based [123] Cluster-MMSE-based [137] MRT-based [118] Spatial Diversity Performance [121] Exploration [126] Integration [127] Outage Probabilities [122] LDPC codification [136] Comparison with CF [16] Comparison with LIS [138] Low-pass [124,125] Joint Positioning and synchronization with ML [133] APS to improve PE [135,139] SO power optimization [128] BO power optimization [129] BO APS to improve SE/LB [131] MO power optimization [130]…”

Section: Resource Allocation (Ra)mentioning

confidence: 99%

“…Team MMSE-based [117] Joint precoding and fronthaul compression [134] Outage Probabilities [122] Comparison with CF [16] Low-pass [124,125] APS to improve PE [139]…”

Section: Downlinkmentioning

confidence: 99%

See 2 more Smart Citations

Survey on Resource Allocation for Future 6G Network Architectures: Cell-Free and Radio Stripe Technologies

Conceição,

Gomes,

Silva

et al. 2024

Electronics

View full text Add to dashboard Cite

Future beyond fifth-generation (B5G) and sixth-generation (6G) communication systems require a higher quality of service (QoS) along with meeting multiple objectives and traffic demands. Consequently, new multi-antenna technologies and massive multiple-input-multiple-output (mMIMO) architectures have been proposed in recent years. This paper delves into the foundational concepts that form the basis for the design of two potential future mMIMO network topologies: cell-free (CF) network and its successor, the radio stripe (RS) system. Key aspects of the mMIMO and CF network concepts are addressed, along with a practical sequential implementation based on RSs. This exploration encompasses intricate details of the channel estimation (CE) phase, as well as the uplink (UL) and downlink (DL) transmission and reception phases. We then focus on analyzing optimization concepts that underpin resource allocation (RA) algorithms, specifically those applied in UL power allocation and access point selection (APS) schemes in both CF and RS networks. This comprehensive understanding serves as a robust foundation for addressing the challenges inherent in achieving the conflicting B5G and 6G major key performance indicators (KPIs), such as enhancements on spectral efficiency (SE), power efficiency (PE), and computational complexity or load balance (LB).

show abstract