A Systematic Approach to Jointly Optimize Rate and Power Consumption for OFDM Systems

Bedeer, Ebrahim; Dobre, Octavia A.; Ahmed, Mohamed H.; Baddour, Kareem E.

doi:10.1109/tmc.2015.2465393

Cited by 10 publications

(4 citation statements)

References 25 publications

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“…This is a discrete optimization problem with inequality constraints. A possible approach to solve this problem is to relax the last constraint in (3) related to values by allowing to take real positive values in order to use Lagrange multipliers method to find an initial solution [13]. The initial founded solution for by Lagrangian relaxation (LR) is then rounded to nearest integers with additional heuristic readjustments steps which are applied on the optimization variables and .…”

Section: Problem Formulationmentioning

confidence: 99%

“…This approximation is tight within 1 dB for BER ≤ 10 −3 . The required power to achieve the target bit error rate BER , ℎ must be greater than a specific threshold [13,14]…”

Section: Lagrangian Relaxationmentioning

confidence: 99%

“…Works are examples for this type of optimization. In general, this approach suffers from scaling problem between different objective functions [12,13]. Therefore, there is no clear quantitative measure on how to choose the linear combination coefficients.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Joint Power Allocation and Bit-Loading for Multicarrier Systems with Discrete Modulation

Nofal¹,

Assimi²,

Jaamour³

2021

MMEP

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In this paper, we propose two algorithms for joint power allocation and bit-loading in multicarrier systems using discrete modulations. The objective is to maximize the data rate under the constraint of a suitable Bit Error Rate per subcarrier. The first algorithm is based on the Lagrangian Relaxation of the discrete optimization problem in order to find an initial solution. A discrete solution is found by bit truncation followed by an iterative modulation adjustment. The second algorithm is based on Discrete Coordinate Ascent framework with iterative modulation increment of one selected subcarrier at each iteration. A simple cost function related to the power increment per bit is used for subcarrier selection. A sub-optimal low complexity Discrete Coordinate Ascent algorithm is proposed that overcome the limitations of the Hughes-Hartogs algorithm. The Lagrangian Relaxation algorithm provides a suboptimal solution for non-coded system using M-QAM modulations, whereas the low complexity Discrete Coordinate Ascent algorithm provides a near optimal solution for coded as well as for non-coded system using an arbitrary modulation set. Numerical results show the efficiency of the proposed algorithms in comparison with traditional methods.

show abstract

Section: Problem Formulationmentioning

confidence: 99%

“…This approximation is tight within 1 dB for BER ≤ 10 −3 . The required power to achieve the target bit error rate BER , ℎ must be greater than a specific threshold [13,14]…”

Section: Lagrangian Relaxationmentioning

confidence: 99%

See 1 more Smart Citation

Joint Power Allocation and Bit-Loading for Multicarrier Systems with Discrete Modulation

Nofal¹,

Assimi²,

Jaamour³

2021

MMEP

View full text Add to dashboard Cite

show abstract

“…Thus, the complexity of techniques that take into account frequency selectivity (e.g., bitloading, [74][75][76]. Hence, the transmitter can, for instance, allocate more power to poor subcarriers to mitigate deep fades [77,78]. In contrast, waterfilling distributes the power according to the channel response in order to maximize the spectral efficiency of the system.…”

Section: Exploiting Frequency Selectivitymentioning

confidence: 99%

Machine Learning Based Network Analysis Using Millimeter-Wave Narrow-Band Energy Traces

Scalabrin

Bielsa

Loch

et al. 2020

IEEE Trans. on Mobile Comput.

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Power and Rate Adaptation Based on CSI and Velocity Variation for OFDM Systems Under Doubly Selective Fading Channels

et al. 2016

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A Systematic Approach to Jointly Optimize Rate and Power Consumption for OFDM Systems

Cited by 10 publications

References 25 publications

Joint Power Allocation and Bit-Loading for Multicarrier Systems with Discrete Modulation

Joint Power Allocation and Bit-Loading for Multicarrier Systems with Discrete Modulation

Machine Learning Based Network Analysis Using Millimeter-Wave Narrow-Band Energy Traces

Power and Rate Adaptation Based on CSI and Velocity Variation for OFDM Systems Under Doubly Selective Fading Channels

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