Power Management in Multiuser Adaptive Modulation Transmission under QoS Requirements | Zendy

Saud Althunibat | Zendy; Nizar Zorba | Zendy; Charalabos Skianis | Zendy; Christos Verikoukis | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Power Management in Multiuser Adaptive Modulation Transmission under QoS Requirements

Author(s) -

Saud Althunibat,

Nizar Zorba,

Charalabos Skianis,

Christos Verikoukis

Publication year - 2013

Publication title -

international journal of antennas and propagation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.282

H-Index - 37

eISSN - 1687-5877

pISSN - 1687-5869

DOI - 10.1155/2013/730710

Subject(s) - computer science , quality of service , transmitter , power budget , link adaptation , beamforming , scheduling (production processes) , mimo , power (physics) , channel (broadcasting) , transmission (telecommunications) , electronic engineering , outage probability , real time computing , transmitter power output , power control , computer network , fading , engineering , mathematical optimization , telecommunications , mathematics , physics , quantum mechanics

A transmitter power management mechanism is presented in this paper where Multiple-Input Multiple-Output (MIMO) Multiuser Random Beamforming with Adaptive Modulation strategy is performed by the system. The objective of the proposed mechanism is quality of service (QoS) satisfaction for the scheduled user. The QoS is represented by the application demanded data rate and symbol error rate. The power outage problem is considered and a practical method to minimize the outage probability is proposed. The obtained results are encouraging as they show a great decrease in the system power budget. The multiuser system capability is also exploited to achieve larger power saving values and smaller probability of power outage by scheduling the user with the best channel characteristics at each time instant. The amount of saved power and the power outage probability are both presented through closed-form expressions. These theoretical results are compared to computer simulations, which show very good agreement in performance

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research