Performance Analysis and Optimization of LDM-Based Layered Multicast

Zhang, Yiwei; He, Dazhi; Huang, Yihang; Xu, Yin; Zhang, Wenjun

doi:10.1109/tbc.2021.3134552

Cited by 5 publications

(5 citation statements)

References 27 publications

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“…Accordingly, the UL SINR is given by 𝜌 /(𝜌 + 1/𝛾) = 𝜌 𝛾/(𝜌 𝛾 + 1). On the other hand, the LL receiver applies the SIC detector to first estimate and cancel the UL signal as in (3). Then, it…”

Section: Proposed Biased-power Allocation (Bi-pa) For Sm-ldm Systemsmentioning

confidence: 99%

“…Accordingly, the UL SINR is given by ρ U /(ρ L + 1/γ) = ρ U γ/(ρ L γ + 1). On the other hand, the LL receiver applies the SIC detector to first estimate and cancel the UL signal as in (3). Then, it applies the ML detector to estimate its information bits as in (4).…”

Section: Proposed Biased-power Allocation (Bi-pa) For Sm-ldm Systemsmentioning

confidence: 99%

“…Layer division multiplexing (LDM) [1], a power-based non-orthogonal multiple access (NOMA) technology, is gaining popularity in a variety of wireless applications to deliver robust high-definition services [2][3][4]. Recently, the advanced television systems committee (ATSC) 3.0 standard applied LDM for broadcasting systems [5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

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Biased-Power Allocation and Shared-Antenna Selection Techniques for Spatial Modulation-Based Layer Division Multiplexing Systems

et al. 2023

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This study proposes two approaches for improving the effectiveness of spatial modulation integrated into layer division multiplexing (SM-LDM) in broadcasting systems: biased-power allocation (Bi-PA) and shared antenna selection (SAS). Even though different data rates are employed in SM-LDM systems, Bi-PA enhances bit error rate (BER) fairness across layers. The ideal power ratios are adaptively determined by balancing signal-to-interference plus noise ratios with a preference for the lower layer (LL) that involves a higher modulation order. SAS alleviates the complexity of successive interference cancellation and enhances spectral and energy efficiencies. Both the LL and upper layer (UL) share the antenna selection decision and transmit using a single antenna. The UL carries a space shift keying signal while the entire power is allocated for the LL. We analyze the spectral efficiency for the SAS-based SM-LDM system with finite alphabet inputs. Numerical results demonstrate the advantages of the proposed approaches. Compared to pre-assigned-PA (Pre-PA), Bi-PA shows nearly identical BERs for both layers and solves the error floor problem. The sharing property and common layer transmission of SAS-based SM-LDM yield a significant BER reduction relative to conventional SM-LDM. It provides gains ranging from 7 to 15 dB for LL at BER equal to 10−3, while UL performance ranges from slight gain to minor loss. Furthermore, both Bi-PA and SAS techniques enhance the achievable LL rate and sum-rate at low and intermediate signal-to-noise ratio values. The Bi-PA technique can achieve an improvement of up to two bits in LL rate and less than one bit in sum-rate at a signal-to-noise ratio of −0.5 dB, while the SAS technique can achieve an improvement of up to two bits in LL rate and less than one bit in sum-rate. These findings show that both proposed techniques have a considerable impact on enhancing the fairness, BER performance, and feasible rates of SM-LDM systems, making them promise for broadcast system designs.

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Section: Proposed Biased-power Allocation (Bi-pa) For Sm-ldm Systemsmentioning

confidence: 99%

Section: Proposed Biased-power Allocation (Bi-pa) For Sm-ldm Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Biased-Power Allocation and Shared-Antenna Selection Techniques for Spatial Modulation-Based Layer Division Multiplexing Systems

et al. 2023

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“…Tab. 2: The hierarchical control sequence set1 19), (8,23), (6,17), ..., (8,22), (0, 13)) s 0 1 = ((3, 13), (2, 13), (11,22), ..., (6,19), (7,16)) s 0 2 = ((10, 20), (7,18), (1,12), ..., (3,13), (10,23)) where…”

Section: The First Constructionmentioning

confidence: 99%

“…The protocol utilizes the received channel information to adapt the transmission parameters in direct sequence spread spectrum wireless networks, thereby improving system performance during data transmission, such as throughput efficiency. And in [6], Zhang, et al proposed using a Layered Division Multiplexing (LDM) based hierarchical multicast scheme to improve network performance, such as throughput. The approach involves assigning each user corresponding to the broadcast content to the appropriate LDM layer and finding the optimal transmit power and data rate for each layer.…”

Section: Introductionmentioning

confidence: 99%

A Construction of Control Sequences Set for Access Control in Data Link

Tan

Niu

et al. 2022

2022 10th International Workshop on Signal Design and Its Applications in Communications (IWSDA)

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Time slots are a valuable channel resource in the data link network with time division multiple access architecture. The need for finding a secure and efficient way to meet the requirements of large access capacity, differentiated access, maximum utilization of time slot resource and strong anti-eavesdropping ability in data link networks is well motivated. In this paper, a control sequence-based hierarchical access control scheme is proposed, which not only achieves differentiated time slots allocation for the different needs and levels of nodes, but also enhances randomness and anti-interception performance in data link networks. Based on the scheme, a new theoretical bound is derived to characterize parameter relationships for designing optimal hierarchical control sequence(HCS) set. Moreover, two flexible classes of optimal hierarchical control sequence sets are constructed. By our construction, the terminal user in the data link can access hierarchically and randomly and transmit data packets during its own hopping time slots of the successive frames to prevent eavesdropping while maintaining high throughput.

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