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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Radio Resource Allocation Over Fading Channels Under Statistical Delay Constraints

Radio Resource Allocation Over Fading Channels Under Statistical Delay Constraints

Phan, Khoa Tran
Le-Ngoc, Tho

Paperback

Series: Springerbriefs in Electrical and Computer Engineering

Technology & EngineeringNetworking

ISBN10: 3319576925
ISBN13: 9783319576923
Publisher: Springer
Published: May 22 2017
Pages: 117
Weight: 0.43
Height: 0.28 Width: 6.14 Depth: 9.21
Language: English

This SpringerBrief presents radio resource allocation schemes for buffer-aided communications systems over fading channels under statistical delay constraints in terms of upper-bounded average delay or delay-outage probability.

This Brief starts by considering a source-destination communications link with data arriving at the source transmission buffer. The first scenario, the joint optimal data admission control and power allocation problem for throughput maximization is considered, where the source is assumed to have a maximum power and an average delay constraints. The second scenario, optimal power allocation problems for energy harvesting (EH) communications systems under average delay or delay-outage constraints are explored, where the EH source harvests random amounts of energy from renewable energy sources, and stores the harvested energy in a battery during data transmission. Online resource allocation algorithms are developed when the statistical knowledge ofthe random channel fading, data arrivals, EH processes governing the system dynamics is unknown a-priori.

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