Multicast in Femtocell Networks: A Successive Interference Cancellation Approach

Hu, Donglin; Mao, Shiwen; Su, Xin

doi:10.4108/mca.1.4.e3

Cited by 5 publications

(10 citation statements)

References 10 publications

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“…18 Hence, interference management in femtocell network has received tremendous attention from either academic or industrial areas. 8,13,14,19,20 As the interference in femtocell network is largely determined by the deployment scenarios, 21 Mahmoud and Guvenc in their comparative study 22 summarized femtocell deployment from 2 perspectives: (1) closed access or open access, (2) co-channel or dedicated channels. A game-theoretic approach for resource allocation in OFDMA femtocells with closed access was proposed in 1 study.…”

Section: Related Workmentioning

confidence: 99%

Dynamic downlink resource allocation and access strategy for femtocell networks

Jiang

Mao

Wang

2017

Trans. Emerging Tel. Tech.

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Femtocells are small, low‐power cellular base stations with high potential for coverage extension and offloading voice and wireless data. In this paper, we study the problem of joint access control and spectrum resource allocation in a 2‐tier femtocell network with 1 macro base station and multiple Femto access points (FAPs). The objective is to maximize the overall network capacity, while guaranteeing the quality of service requirement of all user equipments. We develop an access scheme for macro user equipments and a spectrum allocation mechanism for the FAPs. Spectrum allocation is used as an incentive mechanism to encourage FAPs to serve more macro user equipments. We also derive an upper bound of the network‐wide capacity through a reformulation of the problem. The proposed algorithms are validated, and the upper bound is shown to be quite accurate in the simulation study.

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Section: Related Workmentioning

confidence: 99%

Dynamic downlink resource allocation and access strategy for femtocell networks

Jiang

Mao

Wang

2017

Trans. Emerging Tel. Tech.

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“…Long et al [17] further considered the impact of transmission rate controlling on network performance. Most of the studies on the SIC technique have focused on the uplink, but D. Hu and S. Mao [10] integrated super coding to extend SIC to downlink multicast transmissions.…”

Section: Related Workmentioning

confidence: 99%

“…First, the average power strengths of the places in each channel are set by obeying (10) and (22). Second, the users are assigned to the places in multiple channels randomly.…”

Section: Fast Ra With Optimal Pa Ratiomentioning

confidence: 99%

“…Second, the users are assigned to the places in multiple channels randomly. Once a user is assigned to a certain place in a channel, its average receiving power should be adjusted to obey the power ratio indicated by (10) and (22), as shown in Fig. 5.…”

Section: Fast Ra With Optimal Pa Ratiomentioning

confidence: 99%

“…To compare with the above-proposed optimal PA scheme, we also consider a scheme with random PA, i.e., without a predefined power ratio like (10). In this case, channel assignment should not be completely random.…”

Section: Ra With Random Pamentioning

confidence: 99%

See 2 more Smart Citations

Optimal Power Allocation for Wireless Uplink Transmissions Using Successive Interference Cancellation

Wu¹,

Wang²,

Han³

et al. 2016

KSII TIIS

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Successive interference cancellation (SIC) is considered to be a promising technique to mitigate multiuser interference and achieve concurrent uplink transmissions, but the optimal power allocation (PA) issue for SIC users is not well addressed. In this article, we focus on the optimization of the PA ratio of users on an SIC channel and analytically obtain the optimal PA ratio with regard to the signal-to-interference-plus-noise ratio (SINR) threshold for successful demodulation and the sustainable demodulation error rate. Then, we design an efficient resource allocation (RA) scheme using the obtained optimal PA ratio. Finally, we compare the proposal with the near-optimum RA obtained by a simulated annealing search and the RA scheme with random PA. Simulation results show that our proposal achieves a performance close to the near-optimum and much higher performance than the random scheme in terms of total utility and Jain's fairness index. To demonstrate the applicability of our proposal, we also simulate the proposal in various network paradigms, including wireless local area network, body area network, and vehicular ad hoc network.

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On Medium Grain Scalable Video Streaming over Femtocell Cognitive Radio Networks

Mao

2012

IEEE J. Select. Areas Commun.

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In this paper, we consider femtocell CR networks, where femto base stations (FBS) are deployed to greatly improve network coverage and capacity. We investigate the problem of generic data multicast in femtocell networks. We reformulate the resulting MINLP problem into a simpler form, and derive upper and lower performance bounds. Then we consider three typical connection scenarios in the femtocell network, and develop optimal and near-optimal algorithms for the three scenarios. Second, we tackle the problem of streaming scalable videos in femtocell CR networks. A framework is developed to captures the key design issues and trade-offs with a stochastic programming problem formulation. In the case of a single FBS, we develop an optimum-achieving distributed algorithm, which is shown also optimal for the case of multiple non-interfering FBS's. In the case of interfering FBS's, we develop a greedy algorithm that can compute near-opitmal solutions, and prove a closed-form lower bound on its performance.

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Multicast in Femtocell Networks: A Successive Interference Cancellation Approach

Cited by 5 publications

References 10 publications

Dynamic downlink resource allocation and access strategy for femtocell networks

Dynamic downlink resource allocation and access strategy for femtocell networks

Optimal Power Allocation for Wireless Uplink Transmissions Using Successive Interference Cancellation

On Medium Grain Scalable Video Streaming over Femtocell Cognitive Radio Networks

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