Distributed Interference-Aware Energy-Efficient Power Optimization

Miao, Guowang; Himayat, Nageen; Li, Geoffrey Ye; Talwar, Shilpa

doi:10.1109/twc.2011.021611.101376

Cited by 295 publications

(255 citation statements)

References 13 publications

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“…The objectives of power control are the mitigation of multiple access interference and the conservation of battery power, a valuable resource in cellular and ad hoc networks. Power control has been extensively studied in the context of cellular systems [7] and ad hoc networks [8]. Distributed iterative power control algorithms have been introduced for different systems and fast convergence results have been established [7], [8].…”

Section: A Communication Protocolsmentioning

confidence: 99%

“…Power control has been extensively studied in the context of cellular systems [7] and ad hoc networks [8]. Distributed iterative power control algorithms have been introduced for different systems and fast convergence results have been established [7], [8]. In [9], a heuristic broadcast incremental power algorithm determines the minimum power tree routed at the source node, that reaches all the other nodes in the network.…”

Section: A Communication Protocolsmentioning

confidence: 99%

See 1 more Smart Citation

Hybrid Communication Protocols and Control Algorithms for NextGen Aircraft Arrivals

Park

Khadilkar

Balakrishnan

et al. 2014

IEEE Trans. Intell. Transport. Syst.

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Abstract-Capacity constraints imposed by current air traffic management technologies and protocols could severely limit the performance of the Next Generation Air Transportation System (NextGen). A fundamental design decision in the development of this system is the level of decentralization that balances system safety and efficiency. A new surveillance technology called Automatic Dependent Surveillance-Broadcast (ADS-B) can potentially be used to shift air traffic control to a more distributed architecture; however, channel variations and interference with existing secondary radar replies can affect ADS-B systems. This paper presents a framework for managing arrivals at an airport using a hybrid centralized/distributed algorithm for communication and control. The algorithm combines centralized control in congested regions with distributed control in lower traffic density regions. The hybrid algorithm is evaluated through realistic simulations of operations around a major airport. The proposed strategy is shown to significantly improve air traffic control performance under various operating conditions, by adapting to the underlying communication, navigation and surveillance systems. The performance of the proposed strategy is found to be comparable to fully centralized strategies, despite requiring significantly less ground infrastructure.

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Section: A Communication Protocolsmentioning

confidence: 99%

Section: A Communication Protocolsmentioning

confidence: 99%

Hybrid Communication Protocols and Control Algorithms for NextGen Aircraft Arrivals

Park

Khadilkar

Balakrishnan

et al. 2014

IEEE Trans. Intell. Transport. Syst.

View full text Add to dashboard Cite

show abstract

“…Its counterpart for multi-carrier systems with orthogonal frequency-division multiplexing (OFDM) transmission is studied in [8], taking into account the circuit power consumption, link adaptation, and resource allocation. The case with multi-user interference is also investigated therein [9].…”

Section: Introductionmentioning

confidence: 99%

“…Multi-user energy efficiency is recently considered in [9] where the CSI exchange between the users and the BS is required for a distributive decision in the framework of game-theoretic optimization. As well known, virtual MIMO is advocated in the Long Term Evolution (LTE) documents [1], expecting a simple scheduler at the BS and energyefficient transmission for all users.…”

Section: Introductionmentioning

confidence: 99%

Mode Selection and Power Optimization for Energy Efficiency in Uplink Virtual MIMO Systems

Rui

Zhang

Deng

et al. 2013

IEEE J. Select. Areas Commun.

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Abstract-Driven by green communications, energy-efficient transmission is becoming an important design criterion for wireless systems, aiming to extend the life cycle of batteries in mobile devices. In this paper, we tackle the energy efficiency (EE) issue in uplink virtual multiple-input multiple-output (MIMO) systems, which requires the optimization of two interlaced parameters: the number of constituent mobile users in the virtual MIMO and their corresponding power allocation. The former parameter is a structural parameter defining the size of the virtual MIMO (usually known as the transmission mode) and its optimization relies on the method of enumeration. The difficulty is further aggravated by the fact that the EE is a nonconvex function of power, even for a given transmission mode. By exploiting the fact that increasing the number of active users can increase the number of contributors to the total EE on one hand but reducing the diversity order for each single user on the other, we can show the existence of an optimal transmission mode and find a simple way for its search. Through in-depth analysis, we show the existence of a unique globally optimal power allocator for the case without power constraints under the assumption of zero-forcing receivers, and further reveal the impact of power constraints upon power allocation, as compared to its global counterpart, aiming to provide a powerful means for power-constrained EE optimization. Finally, we establish theories, for isometric networks, to narrow down the search range for possible transmission modes, leading to a significant reduction of computational complexity in optimization. Simulation results are presented to substantiate the proposed schemes and the corresponding theories.

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“…In [3]- [6], optimal energy-efficient orthogonal frequency-division multiple access (OFDMA) is designed to balance the circuit power consumption as well as the transmit power consumption on all OFDM subchannels. Furthermore, it is shown in [8], [9] that energy-efficient power control in multi-cell networks improves not only energy efficiency but also spectral efficiency uniformly for all users because of the conservative nature of power optimization, which reduces other-cell interference to improve the overall network throughput. On the other hand, multiple-input multiple-output (MIMO) has been a key technology for wireless systems because of its potential to achieve high capacity, increased diversity, and interference suppression.…”

Section: Introductionmentioning

confidence: 99%

On Optimal Energy-Efficient Multi-User MIMO

Miao

Zhang

2011

2011 IEEE Global Telecommunications Conference - GLOBECOM 2011

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Abstract-Energy efficiency is becoming increasingly important for mobile devices because battery technology has not kept up with the growing demand of ubiquitous multimedia communications. Since multi-user multiple-input multiple-output (MU-MIMO) is a key technology in next-generation wireless communications, this paper addresses optimal energy-efficient design for MU-MIMO. The energy efficiency is measured by a classic metric, "throughput per Joule", while both RF transmit power and device electronic circuit power are considered. We define the energy efficiency (EE) capacity for MU-MIMO and study the power allocation that achieves this capacity. We show that user antennas should be used only when the corresponding subchannels are sufficiently good and using them improves the overall network EE. Based on theoretical analysis, we further develop low-complexity yet globally optimal energy-efficient power allocation algorithms that converge to the optimum exponentially. Finally comprehensive simulation results are provided to demonstrate the significant gain in network energy efficiency.

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Distributed Interference-Aware Energy-Efficient Power Optimization

Cited by 295 publications

References 13 publications

Hybrid Communication Protocols and Control Algorithms for NextGen Aircraft Arrivals

Hybrid Communication Protocols and Control Algorithms for NextGen Aircraft Arrivals

Mode Selection and Power Optimization for Energy Efficiency in Uplink Virtual MIMO Systems

On Optimal Energy-Efficient Multi-User MIMO

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