Resource Allocation in Spectrum-Sharing OFDMA Femtocells With Heterogeneous Services

Zhang, Haijun; Jiang, Chunxiao; Beaulieu, N.C.; Chu, Xiaoli; Wen, Xiangming; Tao, Meixia

doi:10.1109/tcomm.2014.2328574

Cited by 380 publications

(227 citation statements)

References 29 publications

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“…This satisfies y i > x i − > x j and y j > x j for ∀j = i. Therefore, all elements of y are greater than x j , i.e., max{min(y)} > max{min(x)} = x j (24) which contradicts the supposition that x is the max-min fair vector.…”

Section: Propositionmentioning

confidence: 90%

“…Moreover, an optimized transmit power is derived at each BS to maximize the overall network capacity under a quality of service (QoS) constraint, such that energy efficiency is improved [20][21][22][23]. Furthermore, recently, the joint power control and resource allocation problems in heterogeneous cellular networks have been investigated, and the practical distributed subchannel and power allocation algorithms have been developed in order to improve the network capacity and the user fairness [24][25][26].…”

Section: Introductionmentioning

confidence: 99%

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A Biologically-Inspired Power Control Algorithm for Energy-Efficient Cellular Networks

Choi

Lee

2016

Energies

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Abstract:Most of the energy used to operate a cellular network is consumed by a base station (BS), and reducing the transmission power of a BS can therefore afford a substantial reduction in the amount of energy used in a network. In this paper, we propose a distributed transmit power control (TPC) algorithm inspired by bird flocking behavior as a means of improving the energy efficiency of a cellular network. Just as each bird in a flock attempts to match its velocity with the average velocity of adjacent birds, in the proposed algorithm, each mobile station (MS) in a cell matches its rate with the average rate of the co-channel MSs in adjacent cells by controlling the transmit power of its serving BS. We verify that this bio-inspired TPC algorithm using a local rate-average process achieves an exponential convergence and maximizes the minimum rate of the MSs concerned. Simulation results show that the proposed TPC algorithm follows the same convergence properties as the flocking algorithm and also effectively reduces the power consumption at the BSs while maintaining a low outage probability as the inter-cell interference increases; in so doing, it significantly improves the energy efficiency of a cellular network.

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Section: Propositionmentioning

confidence: 90%

Section: Introductionmentioning

confidence: 99%

A Biologically-Inspired Power Control Algorithm for Energy-Efficient Cellular Networks

Choi

Lee

2016

Energies

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“…Unlike the statistical schemes, in the adaptive scheme, switched off BSs can also be turned on in real-time according to the environmental changes, e.g., sudden increase of traffic load. In general, the adaptive on-off power control scheme is applied to femto BSs (FBSs) whose transmission range is short [23][24][25][26]. Note that due to its possibility to improve the performance of MCS, the FBS has been studied extensively in recent days, especially in the view of resource allocation [24][25][26].…”

Section: On-off Power Control Schemes In Mcsmentioning

confidence: 99%

Energy-Efficient On–Off Power Control of Femto-Cell Base Stations for Cooperative Cellular Networks

Lee

Jung

2016

Applied Sciences

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Improving energy efficiency (EE) of mobile communication systems (MCSs) has been considered a key aim in recent years, and has been the subject of intense research interest. One of the simplest yet most powerful ways to increase the EE is to turn off redundant communication entities whose operation does not greatly affect the overall performance of the MCS. In this paper, we propose a novel on-off power control scheme for femto-cell base stations (FBSs) considering cooperative transmission in which multiple FBSs collaborate on the same data transmission. In the proposed scheme, the operation of the redundant FBSs is halted in an adaptive manner. For the proper determination of redundant FBSs with low computational complexity, we propose using the level of contribution (LOC), which specifies the importance of a given FBS in the cooperative transmission. Redundant FBSs are chosen based on their LOC value, and these FBSs are turned off in order to reduce the power consumption of MCSs while minimizing the degradation of the overall throughput of cooperative transmissions. The performance of the proposed scheme is verified through extensive simulations, which shows that near-optimal performance can be achieved without excessive computations.

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“…The reader may refer to the works in [2][3][4][5]. However, to the best of the authors' knowledge, none of these strategies has dealt with linear services which require a maximization of the number of users served.…”

Section: Introductionmentioning

confidence: 99%

Near optimal linear-service oriented resource allocation strategy for LTE networks

Shokair

Nasser

Bazzi

et al. 2017

2017 9th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

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Abstract-Extensive research efforts are being attracted towards resource allocation in LTE networks. However, from the resource allocation perspectives, linear services such as Digital TV programs have been scarcely studied. In fact, for end-users requesting linear services, the maximization of the the number of users served is much important goal than maximizing the overall capacity of the network. In this paper, linear services oriented resource allocation strategy is proposed. The goal of the proposed algorithm is to maximize the success rate of the users, depending on a minimum required quality of service (QoS), measured in terms of user capacity constraint. The proposed method was tested and compared to the optimal branch and Cut solution and has shown good robustness against network and user parameters.

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Resource Allocation in Spectrum-Sharing OFDMA Femtocells With Heterogeneous Services

Cited by 380 publications

References 29 publications

A Biologically-Inspired Power Control Algorithm for Energy-Efficient Cellular Networks

A Biologically-Inspired Power Control Algorithm for Energy-Efficient Cellular Networks

Energy-Efficient On–Off Power Control of Femto-Cell Base Stations for Cooperative Cellular Networks

Near optimal linear-service oriented resource allocation strategy for LTE networks

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