Energy-efficient subcarrier power allocation for cognitive radio networks using statistical interference model

Karmokar, A.K.; Naeem, Muhammad; Anpalagan, Alagan

doi:10.1109/pimrc.2015.7343466

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…In a conventional OFDM system, it is proved that waterfilling over the sub-carriers is the optimal power allocation strategy [17]. However, it does not consider the interference between different types of users.…”

Section: Timementioning

confidence: 99%

Design and Performance Analysis of Multi-Scale NOMA for Future Communication-Positioning Integration System

Yin

Cao

et al. 2022

IEEE J. Select. Areas Commun.

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This paper presents a feasibility study of a novel multiple access technique called Multi-Scale Non-Orthogonal Multiple Access (MS-NOMA) for the next generation communication-positioning integration system. Different from the traditional positioning signals which are mostly Time Division Multiple Access with communication signals and are broadcast to all users, MS-NOMA supports continuous positioning waveform and flexible configurations for different positioning users to obtain higher ranging accuracy, lower positioning latency, less resource consumption and better signal coverage. Our major contributions are: Firstly, we present the MS-NOMA waveform and evaluate its performances by theoretical and simulation analyses. The results show it is feasible to use the MS-NOMA waveform to achieve high positioning accuracy and low Bit Error Rate with little resource consumption simultaneously. Secondly, to achieve optimal positioning accuracy and signal coverage, we model the power allocation problem for MS-NOMA as a convex optimization problem satisfying the Quality of Services requirement and other constraints. Then, we propose a novel Communication and Positioning Performances constrained Positioning Power Allocation (CP4A) algorithm which allocates the power of all P-Users iteratively. The theoretical and numerical results show our proposed MS-NOMA waveform with CP4A algorithm has great improvements of ranging/positioning accuracy than traditional Positioning Reference Signal in cellular network.

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Section: Timementioning

confidence: 99%

Design and Performance Analysis of Multi-Scale NOMA for Future Communication-Positioning Integration System

Yin

Cao

et al. 2022

IEEE J. Select. Areas Commun.

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“…In a conventional OFDM system, it is proved that water-filling over the sub-carriers is the optimal power allocation strategy [24], [25]. However, it does not consider the interferences between different types of users.…”

Section: Introductionmentioning

confidence: 99%

Design and Performance Analysis of Multi-scale NOMA for 5G Positioning

Yin,

Cao,

Deng

et al. 2019

Preprint

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This paper presents a feasibility study for a novel positioning-communication integrated signal called Multi-Scale Non-Orthogonal Multiple Access (MS-NOMA) for 5G positioning. One of the main differences between the MS-NOMA and the traditional positioning signal is MS-NOMA supports configurable powers for different positioning users (P-Users) to obtain better ranging accuracy and signal coverage. Our major contributions are: Firstly, we present the MS-NOMA signal and analyze the Bit Error Rate (BER) and ranging accuracy by deriving their simple expressions. The results show the interaction between the communication and positioning signals is rather limited, and it is feasible to use the MS-NOMA signal to achieve high positioning accuracy. Secondly, for an optimal positioning accuracy and signal coverage, we model the power allocation problem for MS-NOMA signal as a convex optimization problem by satisfying the QoS (Quality of Services) requirement and other constraints. Then, we propose a novel Positioning-Communication Joint Power Allocation (PCJPA) algorithm which allocates the powers of all P-Users iteratively. The theoretical and numerical results show our proposed MS-NOMA signal has great improvements of ranging/positioning accuracy than traditional PRS (Positioning Reference Signal) in 5G, and improves the coverage dramatically which means more P-Users could locate their positions without suffering the near-far effect.

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