Link Adaptation for Energy-Efficient Transmission with Receiver CSI

Gómez-Miguélez, Ismael; Marojevic, Vuk; Gelonch, A.

doi:10.1109/lcomm.2012.072012.120522

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…In order to accommodate the large variations of the instantaneous transmit power at each antenna, the PA built for OFDM signals must have a wide linear region [44]. Since linear RF components are generally more expensive and less power efficient compared with their nonlinear counterparts, practical implementations of OFDM usually employ sophisticated PAPR reduction schemes.…”

Section: B Papr Basicsmentioning

confidence: 99%

Semidefinite Relaxation-Based PAPR-Aware Precoding for Massive MIMO-OFDM Systems

Yao

Carrick

Sohul

et al. 2019

IEEE Trans. Veh. Technol.

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Massive MIMO requires a large number of antennas and the same amount of power amplifiers (PAs), one per antenna. As opposed to 4G base stations, which could afford highly linear PAs, next-generation base stations will need to use inexpensive PAs, which have a limited region of linear amplification. One of the research challenges is effectively handling signals which have high peak-to-average power ratios (PAPRs), such as orthogonal frequency division multiplexing (OFDM). This paper introduces a PAPR-aware precoding scheme that exploits the excessive spatial degrees-of-freedom of large scale multiple-input multipleoutput (MIMO) antenna systems. This typically requires finding a solution to a nonconvex optimization problem. Instead of relaxing the problem to minimize the peak power, we introduce a practical semidefinite relaxation (SDR) framework that enables accurately and efficiently approximating the theoretical PAPR-aware precoding performance for OFDM-based massive MIMO systems. The framework allows incorporating channel uncertainties and intercell coordination. Numerical results show that several orders of magnitude improvements can be achieved w.r.t. state of the art techniques, such as instantaneous power consumption reduction and multiuser interference cancellation. The proposed PAPRaware precoding can be effectively handled along with the multicell signal processing by the centralized baseband processing platforms of next-generation radio access networks. Performance can be traded for the computing efficiency for other platforms.

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Section: B Papr Basicsmentioning

confidence: 99%

Semidefinite Relaxation-Based PAPR-Aware Precoding for Massive MIMO-OFDM Systems

Yao

Carrick

Sohul

et al. 2019

IEEE Trans. Veh. Technol.

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“…A computing efficient algorithm was later developed in [6]. Gomez‐Miguelez et al [7] derive energy‐efficient link adaptation solutions, considering retransmissions, and analyse the outage probability and energy per bit for different channels.…”

Section: Introductionmentioning

confidence: 99%

Analysis of wireless transceiver power tradeoffs for green communications

2018

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The energy optimisation problem of wireless communications as a power consumption tradeoff between the transmitter and receiver is considered. The goal is finding the right balance between the transmission power and the amount of digital signal processing at the receiver. The problem then consists of deriving the optimal signal-to-noise ratio. Receiver cost functions from real implementations are defined and the constrained optimisation problem for single and multiuser links is solved. The numerical analysis shows that there is an optimal ratio between transmission power and signal processing which can lead to a 30% power reduction for noise limited systems.

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