Proportional fair scheduling with probabilistic interference avoidance in the uplink of multicell OFDMA systems

Yaacoub, Elias; Dawy, Zaher

doi:10.1109/glocomw.2010.5700127

Cited by 15 publications

(17 citation statements)

References 21 publications

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“…We compare our scheme against a state of the art uplink multicell (MC) SE maximization scheme of [16] and two single cell (SC) schemes, i.e., our EM emission reduction scheme of [14] and a classic SE maximization scheme [11], where each sector uses different frequency bands i.e., the number of subcarriers is split amongst the M sectors, to avoid interference. In the following, the results of three different versions of our scheme are presented, where "proposed-PA1" denotes the version of our proposed scheme using PA1 power allocation, while "proposed-PA2 scheme (approx.)"…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

“…4, we compare the per-sector EM emission of our proposed scheme against the SC EM emission reduction scheme of [14], as well as the SE maximization schemes of [16] and [11], for K = 10 users, ISD = 700 m and T = 10 TSs. The target number of bits is varied from 10 kbit to 20 kbit, representing a data rate of 1 Mbps to 2 Mbps, respectively.…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

“…• Simulation results demonstrate that our proposed scheme significantly outperforms the single cell EM emission minimization scheme of [14] (i.e., without intercell interference) by up to 70%, and by over 3 and 4 orders of magnitude when compared to the multicell SE maximization scheme of [16] and the single cell SE maximization scheme of [11], respectively. Furthermore, the results show that the uplink EM emission in the network is proportional to the number of users and their QoS requirements.…”

Section: Introductionmentioning

confidence: 92%

“…The results show that spreading data transmission over a longer window makes the scheme to be very robust against the effect of imperfect channel prediction. For multicell systems, the authors in [15] and [16] have proposed scheduling and resource allocation algorithms for maximizing the SE in the uplink of OFDM systems. In Parallel, the authors in [17] and [18] have shown the benefits of coordination for mitigating interference and improving the EE in the downlink of OFDM systems.…”

Section: Introductionmentioning

confidence: 99%

“…Contrary to [15], [16] that have been designed for optimal SE and do not take into account the QoS target, our proposed scheduler design takes into account the QoS, signaling power as well as the data transmission power of each user in the network to minimize the EM emission in the uplink of multicell OFDM systems. Our scheme minimizes the emitted energy subject to transmitting a target number of bits (QoS target) over a given transmission window, while taking into account the power constraint in each of the several time slots (TSs).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Electromagnetic Emission-Aware Scheduling for the Uplink of Multicell OFDM Wireless Systems

Sambo

Héliot

Imran

2017

IEEE Trans. Veh. Technol.

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Abstract-The increasing demand for data and multimedia services, as well as the ubiquitous nature of the current generation of mobile devices have resulted in continuous network upgrades to support an ever-increasing number of users. Given that wireless communication systems rely on radiofrequency waves, the electromagnetic (EM) emissions from these systems are increasingly becoming a concern, especially in terms of adverse health effects. In order to address these concerns, we propose a novel resource allocation scheme for minimizing the EM emission of users in the uplink of multicell OFDM systems, while ensuring quality of service. Our scheme is based on the assumption that long-term channel state information of all the users in the network is available. A new multicell user grouping that uses the received interference powers of the users of different sectors is proposed. Furthermore, we propose two power allocation algorithms to minimize EM emission. The first power allocation algorithm performs multicell iterative optimization to obtain the transmit powers of each user in the system. On the other hand, our second power allocation algorithm uses the average channel gains of the users of different sectors to obtain an approximation of the transmit power of each user without multicell iterative optimization. As a result, this approach has a reduced complexity when compared to our first power allocation algorithm. Simulation results show that our scheme reduces EM emission by up to 70% when compared to a single cell EM emission aware scheme and by over 3 to 4 orders of magnitude when compared to spectral efficiency maximization schemes.

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Section: Numerical Results and Discussionmentioning

confidence: 99%