On the Optimum Energy Efficiency for Flat-Fading Channels with Rate-dependent Circuit Power

Wang, Tao; Vandendorpe, Luc

doi:10.1109/tcomm.2013.111013.130150

Cited by 36 publications

(29 citation statements)

References 32 publications

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“…Due to the nature of short range communication systems owing to limited power sources, energy efficiency plays a pivotal role in the networks design considerations [1,[8][9][10][11][12][13][14][15][16][17][18][19][20][21]. Numerous recent works focus on this issue, including in wireless sensor networks and WBAN.…”

Section: Related Workmentioning

confidence: 99%

“…For instance, authors in [8] investigated the modulation strategy to minimize the total energy consumption required, given throughput and delay requirements as the constraints. In [9] a general model was proposed to optimize energy efficiency and spectral efficiency over a flat-fading channel. It considers all power consumed in transmission and circuitry including rate-dependent circuit power.…”

Section: Related Workmentioning

confidence: 99%

“…Recent efforts to minimize energy consumptions, hence increasing energy efficiency, in a wireless communication system are numerous, including in wireless sensor networks [8][9][10][11][12][13] and in WBAN [14][15][16][17][18][19][20][21]. However, analysis and maximization of the energy efficiency, while 2 maintaining a satisfactory level of performance, as one of the key design considerations of the proposed adaptive WBAN system have not been found in the literature.…”

Section: Introductionmentioning

confidence: 99%

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On The Energy Efficiency of Adaptive WBAN Systems for mHealth Services

Sudjai¹,

Tran²,

Safaei³

2017

EAI Endorsed Trans Perv Health Tech

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We recently proposed an adaptive Wireless Body Area Network (WBAN) system for mHealth service, which shows better bit error performance compared to the non-adaptive one. However, analysis and maximization of the energy efficiency as one of the key design considerations of these networks remain an open problem. Therefore, this paper investigates the energy efficiency of the proposed adaptive WBAN system by considering both the transmission power and the power consumed in the circuitry which consists of rate-independent and rate-dependent components. Since the distance between the hub and the wireless access point in WBAN is relatively short, beside the transmission power, the circuitry power also plays an important role. The adaptive WBAN is evaluated in two different multiple input multiple output configurations. It is found that the adaptive WBAN system substantially outperforms the non-adaptive one in terms of energy efficiency in both 2I1O and 2I2O configurations. Furthermore, the 2I2O adaptive WBAN system is 7.9 dB superior to the 2I1O in terms of energy efficiency. This is because the 2I2O configuration has a higher diversity order and a better array gain compared to the 2I1O configuration, thus the former has better capability to mitigate fading and improve the link reliability. This energy related performance coupled with the improved bit error rate performance suggests that the proposed adaptive WBAN scheme is an attractive physical layer option of a WBAN system for mHealth services. Thus, this scheme could provide not only better quality of services, but also energy saving to enhance the battery life of a WBAN system.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

On The Energy Efficiency of Adaptive WBAN Systems for mHealth Services

Sudjai¹,

Tran²,

Safaei³

2017

EAI Endorsed Trans Perv Health Tech

View full text Add to dashboard Cite

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“…Experiment results also show that the change of k can affect SE in some degree, whereas P can influence SE in large degree. The reason for that is that the change of k can only affect ba  , but the change of P can affect not only ba  but also 3 l , so the change of P has a greater influence for feasible region than that of the change of k . If we want to get a higher SE, we should increase P or increase k , which is useful when we want to improve the overall throughput.…”

Section: Theoremmentioning

confidence: 99%

Low‐complexity energy‐efficient resource allocation for delay‐tolerant two‐way orthogonal frequency‐division multiplexing relays

Jin

Guo

et al. 2016

IET Communications

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Abstract-Energy-efficient wireless communication is becoming increasingly important, especially forwireless devices with a limited battery life and cannot be recharged on a frequent basis. In this paper, a bit allocation algorithm to minimize the total energy consumption for transmitting a bit successfully is proposed for a two-way orthogonal frequency-division multiplexing (OFDM) relay system, whilst considering the constraints of quality-of-service (QoS) and total transmit power. Our scenario is fit for the delay-tolerant services delivered through low-complexity devices in application areas of IoT and M2M communications. Unlike existing bit allocation schemes, which maximize the energy efficiency by measuring "bits-per-Joule" with fixed bidirectional total bit rates constraint and no power limitation, our scheme adapts the bidirectional total bit rates and their allocation on each subcarrier with a total transmit power constraint.In order to do so, we propose a new idea to decompose the optimization problem. The problem is solved in two general steps. The first step allocates the bit rates on each subcarrier when the total bit rate of each user is fixed. In the second step, the Lagrangian multipliers are used as the optimization variants, and the dimension of the variant optimization is reduced from 2N to 2, where N is the number of subcarriers. We also prove that the optimal point is on the bounds of the feasible region, thus the optimal solution could be

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“…Bearing this in mind, recent research has been focusing on the energy-efficient transmission [2][3][4][5][6][7][8][9]. Employing more antennas requires extra circuitry, having a significant impact on the complexity and the processing power consumption.…”

Section: Introductionmentioning

confidence: 99%

Energy-efficient joint transmit beamforming and subarray selection with non-linear power amplifier efficiency

Tervo

Tran

Juntti

2016

2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)

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Another important fact arising from the use of large numbers of antennas is the limited numbers of RF chains, i.e., the latter may be smaller than the former. This means that the beamforming gain and the number of parallel streams becomes limited. However, huge numbers of antenna elements can be installed in the transmitter in particular at higher center frequencies, like mm-waves [11]. The same has also been proposed for more conventional microwave frequencies below 10 GHz [11]. One option to benefit from the large number of antenna elements with a smaller number of transceiver processing chains to achieve array gain is to divide the antennas into subarrays each of which is connected to an RF chain. In general, the number of RF chains may be smaller than that of subarrays. This kind of system model is called hybrid beamforming [12] which becomes very relevant in mm-wave systems. In addition to enable hybrid beamforming, the model results in smaller power variations between antennas, which means that the non-linear effects of the power amplifiers become less significant. Such antenna grouping could be used even in the case with conventional antenna selection problem, where we could group the antennas and select the sub-groups just to simplify the antenna selection problem.In this paper, we consider the energy efficiency with joint beamforming and subarray selection (JBSAS) and non-linear efficiency of PA in multiuser multiple-input single-output (MISO) system. This is different and more practical system compared to the conventional joint beamforming and antenna selection problem considered in [9] where each antenna is individually connected with an RF chain (using a switch). In addition, here we consider non-linear PA efficiency whereas the linear case has been assumed in the prior works. To tackle the resulting challenging mixed-Boolean non-convex optimization problem, we rely on continuous relaxation and successive convex approximation framework where a convex problem is solved in each iteration. Numerical results demonstrate the achieved energy efficiency gains of the subarray selection and shows that non-linear PA efficiency has a significant impact on the optimization. We also observe that on contrast to using linear PA efficiency model, the nonlinear PA efficiency model yields the fact that it is better to stay silent rather than transmit with very low transmit power.Notations: X T is transpose of X; |x| represents the absolute value of x and x 2 is 2-norm of x; Im(X) means the imaginary part of X. PROBLEM FORMULATION System ModelWe consider a single-cell MISO downlink channel, where a base station with N antenna elements transmits data to K single-antenna ABSTRACTWe study the problem of energy efficiency maximization (EEmax) with joint beamforming and subarray selection, by taking into account the non-linear power amplifier (PA) efficiency in a multi-user multiple-input single-output system. The subarray selection problem is formulated using the concept of perspective formulation with additional penalty t...

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On the Optimum Energy Efficiency for Flat-Fading Channels with Rate-dependent Circuit Power

Cited by 36 publications

References 32 publications

On The Energy Efficiency of Adaptive WBAN Systems for mHealth Services

On The Energy Efficiency of Adaptive WBAN Systems for mHealth Services

Low‐complexity energy‐efficient resource allocation for delay‐tolerant two‐way orthogonal frequency‐division multiplexing relays

Energy-efficient joint transmit beamforming and subarray selection with non-linear power amplifier efficiency

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