Power Allocation in the TV White Space under Constraint on Secondary System Self-Interference

The Electronic Communication Committee (ECC) in Europe proposed a location-based transmission power allocation rule for secondary devices operating in the TV white space (TVWS). The further the secondary device is located from the TV cell border the higher transmission power level it can utilize. The Federal Communication Committee (FCC) in the US proposed a fixed transmission power allocation rule for all secondary transmitters. Both rules do not consider the secondary system’s self-interference while setting the transmission power levels. In this paper, we propose a power allocation scheme for a cellular secondary system. Unlike the ECC and the FCC proposals we do the power allocation by considering the self-interference. We define the power allocation scheme as an optimization problem. The sum cell border data rate of the secondary network is selected to be the optimization objective. We observe that the optimal transmission power levels become approximately constant over the secondary deployment area. The FCC rule captures the general trend for cellular deployment in the TVWS, since it suggests the use of constant power. However, the transmission power should not be set equal to 4 W but according to the allowable generated interference at the borders of the TV and secondary cells.

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Joint bandwidth and power allocation for multiple services in TV white space

IET Communications ◽

10.1049/iet-com.2018.5067 ◽

2019 ◽

Vol 13 (5) ◽

pp. 569-577

Author(s):

Zhong Tian ◽

Jun Wang ◽

Jintao Wang ◽

Jian Song

Keyword(s):

Power Allocation ◽

White Space ◽

Tv White Space ◽

Multiple Services

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Proportional Fair Power Allocation for Secondary Transmitters in the TV White Space

Journal of Electrical and Computer Engineering ◽

10.1155/2013/272341 ◽

2013 ◽

Vol 2013 ◽

pp. 1-8

Author(s):

Konstantinos Koufos ◽

Riku Jäntti

Keyword(s):

Computational Complexity ◽

Power Allocation ◽

Spectrum Allocation ◽

Primary System ◽

White Space ◽

Tv White Space ◽

Performance Loss ◽

The Cost ◽

Allocation Algorithms ◽

Modified Algorithm

The key bottleneck for secondary spectrum usage is the aggregate interference to the primary system receivers due to simultaneous secondary transmissions. Existing power allocation algorithms for multiple secondary transmitters in the TV white space either fail to protect the TV service in all cases or they allocate extremely low power levels to some of the transmitters. In this paper, we propose a power allocation algorithm that favors equally the secondary transmitters and it is able to protect the TV service in all cases. When the number of secondary transmitters is high, the computational complexity of the proposed algorithm becomes high too. We show how the algorithm could be modified to reduce its computational complexity at the cost of negligible performance loss. The modified algorithm could permit a spectrum allocation database to allocate near optimal transmit power levels to tens of thousands of secondary transmitters in real time. In addition, we describe how the modified algorithm could be applied to allow decentralized power allocation for mobile secondary transmitters. In that case, the proposed algorithm outperforms the existing algorithms because it allows reducing the communication signalling overhead between mobile secondary transmitters and the spectrum allocation database.

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Geolocation Spectrum Database Assisted Optimal Power Allocation: Device-to-Device Communications in TV White Space

KSII Transactions on Internet and Information Systems ◽

10.3837/tiis.2015.12.006 ◽

2015 ◽

Vol 9 (12) ◽

Keyword(s):

Power Allocation ◽

Optimal Power Allocation ◽

White Space ◽

Tv White Space ◽

Optimal Power ◽

Device To Device

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Energy-Efficient Computation Offloading and Transmit Power Allocation Scheme for Mobile Edge Computing

Mobile Information Systems ◽

10.1155/2019/3613250 ◽

2019 ◽

Vol 2019 ◽

pp. 1-9 ◽

Cited By ~ 1

Author(s):

Xiaohui Gu ◽

Li Jin ◽

Nan Zhao ◽

Guoan Zhang

Keyword(s):

Energy Consumption ◽

Power Allocation ◽

Energy Efficient ◽

Completion Time ◽

Computation Offloading ◽

Battery Life ◽

Transmission Power ◽

Mobile Edge Computing ◽

Efficient Computation ◽

Allocation Scheme

Mobile edge computing (MEC) is considered a promising technique that prolongs battery life and enhances the computation capacity of mobile devices (MDs) by offloading computation-intensive tasks to the resource-rich cloud located at the edges of mobile networks. In this study, the problem of energy-efficient computation offloading with guaranteed performance in multiuser MEC systems was investigated. Given that MDs typically seek lower energy consumption and improve the performance of computing tasks, we provide an energy-efficient computation offloading and transmit power allocation scheme that reduces energy consumption and completion time. We formulate the energy efficiency cost minimization problem, which satisfies the completion time deadline constraint of MDs in an MEC system. In addition, the corresponding Karush–Kuhn–Tucker conditions are applied to solve the optimization problem, and a new algorithm comprising the computation offloading policy and transmission power allocation is presented. Numerical results demonstrate that our proposed scheme, with the optimal computation offloading policy and adapted transmission power for MDs, outperforms local computing and full offloading methods in terms of energy consumption and completion delay. Consequently, our proposed system could help overcome the restrictions on computation resources and battery life of mobile devices to meet the requirements of new applications.

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