Energy-efficient link adaptation in frequency-selective channels
By Guowang Miao, Nageen Himayat, Geoffrey Y. Li. IEEE Transactions on Communications, 2010
638 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/33ae268b1e312d6be793da8f823c42de598df6df
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Qingqing Wu
- Rui Zhang
- Geoffrey Y. Li
- Derrick Wing Kwan Ng
- Robert Schober
- Jie Xu
- Eduard Axel Jorswieck
- F. Yu
In Electrical and Electronic Engineering
- Rui Zhang
- Qingqing Wu
- Robert Schober
- Derrick Wing Kwan Ng
- Jie Xu
- Geoffrey Y. Li
- Yong Zeng
- Merouane Debbah
Citations in the corpus
- Framework for Link-Level Energy Efficiency Optimization with Informed Transmitter (2011, background): “Results on energy-efficient link adaptation for frequency-selective channels are presented in [6].”
- Energy- and Spectral-Efficiency Tradeoff in Downlink OFDMA Networks (2011, methodology): “As a special case of OFDMA systems, energy-efficient orthogonal frequency division multiplexing (OFDM) system has been addressed with consideration of circuit power for frequency-selective and flat fading channels in [6]–[8].”
- Energy-Efficient Resource Allocation for Downlink Non-Orthogonal Multiple Access Network (2016, neutral): “Inspired by [39], we can prove”
- Fundamental Green Tradeoffs: Progresses, Challenges, and Impacts on 5G Networks (2016, methodology): “In the downlink scenario, the initial work on the point-to-point energy efficient link adaptation scheme over frequency-selective channel can be traced back to [56], where the throughput-per-Joule EE metric considering circuit power”
- Spectrum Decision in Cognitive Radio Networks: A Survey (2013, background): “The link adaptation scheme proposed in [86] balances circuit power consumption and transmission power to achieve the maximum energy efficiency, which is defined as the number of bits transmitted per Joule of energy.”
- A survey of energy-efficient wireless communications (2013, background): “Specifically, in [81], [82], an energy-efficient water-filling power allocation scheme is proposed, where it is proved that the maximal EE can be achieved by adapting both overall transmit power and its allocation according to the channel states and the circuit energy consumption.”
- Throughput Optimal Policies for Energy Harvesting Wireless Transmitters with Non-Ideal Circuit Power (2012, background): “It is worth noting that Pee given in (10) is the optimal power allocation that maximizes the EE of the AWGN channel under the non-ideal circuit power model as shown in [7].”
- Energy-Efficient Resource Allocation for Heterogeneous Cognitive Radio Networks with Femtocells (2012, methodology): “Therefore, based on Theorem 1, we can solve the nonlinear equation using Theorem 1 to find the optimal power allocation solution or we can use the low-complexity iterative algorithms based on the gradient assisted binary search algorithm proposed in [30] to realize the energy-efficient power allocat”
- Wireless Information and Power Transfer: Energy Efficiency Optimization in OFDMA Systems (2013, methodology): “Second, we consider a system where the transmitter and the receivers consume non-negligible amounts of power [16] for signal processing such that PCT +KPCR > ∑K k=1 QIk .”