LTE Femtocells: System Design and Performance Analysis

Barbieri, A.; Damnjanovic, Aleksandar; Ji, Tingfang; Montojo, Juan; Wei, Yongbin; Malladi, Durga; Song, Osok; Horn, G.B.

doi:10.1109/jsac.2012.120408

Cited by 92 publications

(46 citation statements)

References 16 publications

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“…But this scheme only considered rudimentary planned enterprise femtocell networks. Furthermore, an enhanced inter-cell interference coordination (eICIC) method based on a tighter coordination between macro and femto nodes is proposed with an effective autonomous power control algorithm in [12]. A distributed and self-organizing femtocell management architecture called the Complementary TRi-control Loops (CTRL) is proposed considering the maximum transmit power and signal to interference noise ratio (SINR) in [13].…”

Section: Related Workmentioning

confidence: 99%

Coverage Self-Optimization for Randomly Deployed Femtocell Networks

Zhang

2015

Wireless Pers Commun

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There is an ever increasing demand on wireless communication systems for improved indoor coverage, greater capacity and enhanced user services. Energy efficient, small scale femtocell networks deployed in home, office and other indoor environments are one of the promising means of satisfying these demands. They can provide substantial benefits to both operators and users, such as a reduction in capital expenditures and operational expenditures, easy plug-and-play and optimized indoor coverage. Because of the random deployment behavior by the users, femtocell base stations (FBSs) should have cognitive position awareness, automatic parameter tuning and learning abilities. This will allow for self-optimization of the indoor coverage with the minimal interference to outdoor users. This paper first proves that the optimal coverage radii for FBS exist in typical indoor environments with position awareness enabled technology. Then, a dynamic power allocation technique for FBS is designed and analyzed in this paper by considering the path loss and different wall penetration conditions. To further enable the intelligent coverage self-optimization for randomly deployed indoor FBSs, a novel joint dynamic power allocation and antenna pattern selection scheme using the artificial neural network is proposed. Performance results are presented to illustrate the effectiveness and accuracy of the proposed coverage technique for randomly deployed femtocell networks.

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Section: Related Workmentioning

confidence: 99%

Coverage Self-Optimization for Randomly Deployed Femtocell Networks

Zhang

2015

Wireless Pers Commun

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“…A secure communication to the core network is provided by the security gateway. The HeNB gateway aggregates the HeNBs towards the core network, if the S1 interface cannot perform this aggregation [7]. The proposed system is designed considering that the interaction between the HeNBs and the macrocells is carried out through the S1 interface or the core network.…”

Section: Evolved Universal Terrestrial Radio Access Network (E-utran)mentioning

confidence: 99%

“…These elements are suggested before in Ref. [6,7]. Alternatively, the proposed network model has a new part called a spectrum server (spectrum broker) [10,11].…”

Section: Packet Data Network (Pdn) Elementsmentioning

confidence: 99%

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System Design and Performance Analysis of LTE Cognitive Femtocells

Shalaby

Shokair

Messiha

2015

Wireless Pers Commun

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Femtocells' deployment can extend the LTE coverage to include indoor areas. Unfortunately, a mutual electromagnetic interference can occur among the macro cells and femtocells due to the co-channel deployment. Moreover, interference among the femtocells themselves can occur due to utilizing the same subcarriers. The two types of interference can degrade the system performance. Femtocells base station power control can reduce the interference, which affects the macro users at the expense of a drop in the femto users' geometry and throughput. A cognitive radio is proposed, as a novel approach, to completely eliminate the mutual interference among the macrocells and femtocells. The system is designed, mathematically analyzed, and simulated considering that the femto users are secondary users for the macro users. Analytical and simulation results show that applying the cognitive radio, to improve the system performance, is better than applying power control algorithms. The interference, which occurs among the femtocells, can be eliminated by different techniques. These novel techniques, which can achieve a maximization of the femto users' geometry, are proposed and illustrated in details.

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“…The Third Generation Partnership Project (3GPP) has proposed a Long-term Evolution (LTE) roadmap to enable applications that require high data rates and QoS guarantees [8]. Hence, it is worthwhile to investigate the potential of multi-radio Het-Nets towards improving QoS for real-time applications [3,9,10].…”

Section: Introductionmentioning

confidence: 99%

QoS Aware Scheduling and Cross-Radio Coordination in Multi-Radio Heterogeneous Networks

Yeh

Panah

Himayat

et al. 2013

2013 IEEE 78th Vehicular Technology Conference (VTC Fall)

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Multi-radio heterogeneous networks (Het-Nets) are an important focus area for next generation cellular standards, with the 3GPP community actively developing WiFi/LTE interworking solutions for small-cell deployments. This paper explores coordinated usage of multiple radios (e.g., LTE and WiFi) to improve quality of service (QoS) in multi-radio heterogeneous networks. We focus on heterogeneous network deployments based on co-located WiFi-LTE small cells that allow for tighter multi-radio coordination. To evaluate QoS enhancements, we consider on-time throughput, a metric that captures the deliverable data rate for traffic with delay deadlines. A QoS-aware scheduling algorithm is designed to optimize on-time throughput. Cross-RAT coordination schemes are also explored to further enhance QoS. Through combining the QoS-aware scheduling algorithm and intelligent radio link assignment, we observe significant improvement in per user on-time throughput. Our results indicate that tightly coupled integrated LTE-WiFi small cell architectures can significantly increase the number of user achieving their targeted QoS.

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LTE Femtocells: System Design and Performance Analysis

Cited by 92 publications

References 16 publications

Coverage Self-Optimization for Randomly Deployed Femtocell Networks

Coverage Self-Optimization for Randomly Deployed Femtocell Networks

System Design and Performance Analysis of LTE Cognitive Femtocells

QoS Aware Scheduling and Cross-Radio Coordination in Multi-Radio Heterogeneous Networks

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