Joint Power Allocation for a Novel Positioning-communication Integrated Signal

Yin, Lu; Cao, Jiameng; Jiang, Tianrun; Deng, Zhongliang

doi:10.1109/iccc49849.2020.9238854

Cited by 2 publications

(3 citation statements)

References 9 publications

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“…Obviously, the objective function of OP2 is a convex function, and OP2 is a convex optimization problem when P p,m ≥ 0. Like the optimization problem in [22], OP2 can be solved by Lagrange duality method. The solution of OP2 is (15), as shown at the bottom of the page, and the derivation can be seen in appendix B in detail.…”

Section: Power Allocation Algorithmmentioning

confidence: 99%

“…Using hierarchical algorithm by updating the values of the dual variables,μ n and ν can be calculated via subgradient methods [22]. The subgradient ofμ n is given as follows.…”

Section: With the Translationmentioning

confidence: 99%

“…The power allocation algorithm for MS-NOMA downlink signal is studied in [22]. The power of communication signal is set to be same, while the positioning signal power of different P-Users is specially allocated to obtain optimum ranging accuracy.…”

Section: Introductionmentioning

confidence: 99%

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Joint Uplink Power Allocation Method in Wireless Communication and Positioning Integrated System

et al. 2021

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With the development of wireless communication, there are usually both communication and positioning requirements. In our previous work, we studied the power allocation algorithm for positioning user (P-User) based on Multi-Scale Non-Orthogonal Multiple Access (MS-NOMA) downlink signal where all communication users (C-Users) have the same power. In the uplink case, the power allocation scheme for both C-User and P-User needs to be considered jointly as all C-Users may have different power. In this paper, we analyze the Quality of Service (QoS) and ranging accuracy based on the MS-NOMA signal by deriving their simple expressions. Then, a two stage joint iterative power allocation algorithm (JIPAA) is proposed. In the first stage, considering the QoS of C-User requirement and total power limitation, the power of P-Users is allocated to obtain optimal ranging performance. In the second stage, the power of C-Users is allocated to minimize the power consumption. With the iterative process, the optimal power of each C-User and P-User is calculated. The numerical results show that the proposed JIPAA algorithm dramatically promotes ranging accuracy under the same energy consumption.INDEX TERMS Multi-scale non-orthogonal multiple access (MS-NOMA), power allocation, quality of service (QoS), ranging accuracy.

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Section: Power Allocation Algorithmmentioning

confidence: 99%

“…Using hierarchical algorithm by updating the values of the dual variables,μ n and ν can be calculated via subgradient methods [22]. The subgradient ofμ n is given as follows.…”

Section: With the Translationmentioning

confidence: 99%

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Joint Uplink Power Allocation Method in Wireless Communication and Positioning Integrated System

et al. 2021

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Resource Allocation for Joint Communication and Positioning in mmWave Ad Hoc Networks

Luo,

Lu,

Yin

et al. 2024

IEEE Trans. Veh. Technol.

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Joint communication and positioning will be a critical driver in future wireless networks for emerging application areas. Supporting mobility, Ad-hoc networks can freely and dynamically self-organize an arbitrary and temporary network topology without any pre-existing infrastructure. Combined with millimeter-wave (mmWave), Ad-hoc networks can construct communication links with less time and higher directivity due to directional antennas and building blockage. The wide spectrum of mmWave could provide a high-oriented channel for positioning, which is significant for multi-user conditions. In this paper, we concentrate on high-efficiency algorithms to allocate spectrum and power to different services and achieve a performance tradeoff between the communication and positioning process. Besides, the severe interference between users would degrade the actual system performance. To address these challenges, this paper proposes an optimal clustering algorithm based on the mmWave Line of Sight (LoS) probability to form two different sub-nets for communication and positioning services, respectively. Then, the available spectrum resources are divided into two parts for the above sub-nets under the Filtered-Orthogonal Frequency Division Multiplexing (F-OFDM) technique, which could design sub-bands independently. Finally, we proposed an optimal algorithm to allocate sub-bands and power to improve the performance of the communication sub-net while guaranteeing the positioning performance in the corresponding subnet. Numeric simulation results demonstrate that the proposed resource allocation algorithm could achieve better performance both in the communication and position process.

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Joint Power Allocation for a Novel Positioning-communication Integrated Signal

Cited by 2 publications

References 9 publications

Joint Uplink Power Allocation Method in Wireless Communication and Positioning Integrated System

Joint Uplink Power Allocation Method in Wireless Communication and Positioning Integrated System

Resource Allocation for Joint Communication and Positioning in mmWave Ad Hoc Networks

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