Minimum BER power loading for OFDM in fading channel

Goldfeld, Lev; Lyandres, V.; Wulich, Dov

doi:10.1109/tcomm.2002.805271

Cited by 100 publications

(88 citation statements)

References 9 publications

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“…Each of the subcarrier may consist of the different power. OFDM systems was proposed were the power loading for minimization of the symbol error probability has been considered [6], [7] and [8]. In order to distinguish such kind of the problems from the single-user power loading than researchers call that type of problem of power allocation.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Cell Zooming Technique to Optimize the Base Station Power

Gundawar¹,

Dorge²,

Gode³

2015

International Journal of Innovative Research in Electrical, Ele

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This paper investigate the problem regarding the minimization of the power of the base station by using the cell zooming technique. In this paper, we mainly focused on reducing the power consumed at the base station end, whereas most of the power minimization related work in the literature today is focused on the mobile end only. Cell zooming is a technology that promises to minimize the resource utilization. This technique is designed to save the energy consumed by the base station by maintaining the quality of services. To understand the working of the cell zooming techniques centralized algorithm is a very basic way. Our simulations shows that the proposed technique can achieve upto 25% reduction in the power consumption over the base station.Keywords: Cell zooming, Traffic load, energy efficiency, base stations, bandwidth utilization, spectral efficiency, orthogonal frequency division multiplexing (OFDM) and power allocation. I.INTRODUCTION As we all know that mobile wireless communication is experiencing a tremendous growth today in terms of both the various number of users as well as the variety of applications coming day by day. As millions of new users are including each and every month. The mobile applications are changing from simple voice applications to data and than to gaming devices. To all of us, the word 'mobile' is very familiar, and its necessary to think much about its operation parts. As we all know that the mobile is very user friendly, that why it is not the case when it came into its operational cost. Communication is the process that should be maintained all the time and each of the base station is designed to operate 24*7 hours. The number of base stations are deployed to the order of tens during the early decades. As most of the users are interested in data transfer rather than the voice transfer and therefore their is an increasing demand of the resources. Inorder to satisfy the users requirements the operator has to work hard as the users requirements are increasing day by day. The basic concepts regarding the cell zooming technique is very clearly explained in [3].

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Section: Introductionmentioning

confidence: 99%

Implementation of Cell Zooming Technique to Optimize the Base Station Power

Gundawar¹,

Dorge²,

Gode³

2015

International Journal of Innovative Research in Electrical, Ele

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“…The power allocated to each subcarrier also could be adjusted to obtain better performance. Over the past years, different power and bit allocation schemes with diverse optimization objectives have been studied [5][6][7][8][9] and can roughly be classified to three categories, namely Margin Adaptive (MA), Rate Adaptive (RA) and Power Adaptive (PA). The Margin Adaptive algorithms minimize the probability of error for a given bit-rate and power, the Rate Adaptive algorithms maximize the bit-rate when assuming a given power and error boundary, the Power Adaptive algorithms minimize the total energy transmission under the restriction of a predetermined error probability and total bit rate.…”

Section: Introductionmentioning

confidence: 99%

An improved Fischer-Huber loading algorithm for reliable applications on access power line communications

Wang

Lil

2010

Proceedings of the 5th International ICST Conference on Communications and Networking in China

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Abstract-The original Fischer-Huber loading algorithm attempts to minimize the probability of bit error by maximizing the signal to noise ratio. Bits are allocated to achieve the same error probability in each of the used subcarriers. However, in channels with a high difference in attenuation like access Power Line Communications (PLC) channels, this could result in overallocation for parts of the subcarriers, which is unreasonable in practice but is neglected during the bit allocation in the algorithm. Furthermore, after defining the upper boundary of constellation, the bit allocation is changed and then the method of flat power allocation generates a bad error probability. In this paper, we present an improved Fischer-Huber loading algorithm for access PLC channels with high attenuation variability. By adding constellation limitations and adjusting the power allocation policy, the improved algorithm appears more flexible. Simulation results show the improved performance.

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“…"greedy") allocation [5][6][7][8], channel capacity approximation-based allocation [9,10], and bit error probability expression-based allocation [11,12]. The first type of algorithm incrementally allocates an integer number of bits while the other two types use closedform expressions of performance measures in order to determine a non-integer bit allocation and then round the results.…”

Section: Introductionmentioning

confidence: 99%