Profit Maximization in Femtocell Service with Contract Design

Wang, Chih-Yu; Wei, Hung‐Yu

doi:10.1109/twc.2013.032513.111789

Cited by 16 publications

(8 citation statements)

References 19 publications

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“…A hierarchical dynamic game is presented in [24] to model the competition between the macrocell service provider and the small cell providers. In [11], Wang et al consider the problem of maximizing the profit in femtocell networks from the perspective of the network operator. In [10], Jiang et al study the economic issues of cognitive femtocell networks.…”

Section: Related Workmentioning

confidence: 99%

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Dynamic Resource Allocation and Layer Selection for Scalable Video Streaming in Femtocell Networks: A Twin-Time-Scale Approach

Yang

Wang

et al. 2018

IEEE Trans. Commun.

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Abstract-Scalable video streaming over femtocell networks relying on two-tier spectrum-sharing is designed for coping with time-varying channel conditions, stringent video QoS requirements as well as with strong cross-tier interference between the over-sailing macro-and the femtocells. Dynamic video layer selection and resource allocation are invoked to enable the adaptation of the scalable video streaming service to the dynamics of both channel quality and interference price fluctuations. We formulate the design as a constrained stochastic optimization problem, which strikes a compelling compromise between the perceivable quality of experience and the monetary implications of the interference. Since the time scale of resource allocation is more short-term than that of the video layer selection, we decompose the original long-term utility optimization problem into a pair of readily tractable subproblems with the aid of two different time-scales by invoking the powerful technique of Lyapunov drift and optimization. By exploiting the specific structure of these subproblems, low-complexity algorithms are derived for dynamic video layer selection and resource allocation, which rely on the near-instantaneously available information rather than on any prior statistical knowledge. Finally, we derive the analytical bounds of the theoretically achievable performance. Experimental results are presented for characterizing the performance attained.

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Section: Related Workmentioning

confidence: 99%

“…In order to address this problem, femtocells have been richly characterized in the literature [7]- [11], but predominantly from the operator's -rather than from the customer's -perspective. However, most femtocells tend to be randomly deployed by individual customers, rather than by the operator [3].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Resource Allocation and Layer Selection for Scalable Video Streaming in Femtocell Networks: A Twin-Time-Scale Approach

Yang

Wang

et al. 2018

IEEE Trans. Commun.

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“…Within the coverage area of the macrocell base station, there are multiple femtocell networks operating on spectrums which are leased from macrocell network. Note that there is no interference between macrocell and femtocell network since they are operated on different spectrums, i.e., the interweave heterogeneous networks architecture [24], [25]. The spectrum leasing price, denoted by w, is set by the macrocell operator.…”

Section: A Network Entitymentioning

confidence: 99%

“…with random values that satisfy (23), (24 m , initialize j = 0 and p (j) f with random value that satisfies (24). 6: while 3 > Υ 3 do…”

mentioning

confidence: 99%

Optimal Pricing Strategy for Operators in Cognitive Femtocell Networks

Jiang

Chen

Liu

et al. 2014

IEEE Trans. Wireless Commun.

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Abstract-Cognitive femtocell has been envisioned as a promising technology for covering indoor environment and assisting heavy-loaded macrocell network. Although lots of technical issues of cognitive femtocell network have been studied, e.g., spectrum sharing, interference mitigation, etc., the economic issues that are very important for practical femtocell deployment have not been well investigated in the literatures. In this paper, we focus on the pricing issues in the cognitive femtocell network and propose a two-tier pricing game theoretic framework with two models: static and dynamic pricing models. In the static pricing model, we derive the closed-form expressions for pricing and demand functions, as well as the Nash equilibrium pricing strategies for both macrocell and femtocell operators. In the dynamic pricing model, we first model the cognitive users' network access behavior as a two-dimensional Markov decision process and propose a modified value iteration algorithm to find the best strategy profiles for cognitive users. Based on the analysis of users' behavior, we further design an iterative gradient descent algorithm to find the Nash equilibrium pricing strategies for both macrocell and femtocell operators. Simulation results verify our theoretic analysis and show that the proposed algorithm in the dynamic pricing model can quickly converge to the Nash equilibrium prices.Index Terms-Cognitive femtocell, two-tier pricing, Nash equilibrium price, Markov decision process.

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“…To address this problem, cognitive radio technology has been integrated with femtocells to dynamically sense spectrum usage by the macrocell and adapt their transmissions to optimize the overall usage of the spectrum [2]. A great deal of research on femtocells has recently appeared in the literature [3]- [8]. In particular, the optimal spectrum allocation is presented for the throughput maximization problem in two-tier femtocell networks [4].…”

Section: Introductionmentioning

confidence: 99%

Dynamic power and layer selection for scalable video streaming in femtocell networks

Shi

Zhu

et al. 2015

2015 IEEE International Conference on Communication Workshop (ICCW)

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Femtocells have emerged as a promising solution for increasing network capacity to cope with the exponential growth of mobile video traffic. However, the randomness of wireless channel and cross-tier interference may cause frequent interruption or fluctuation of video playback, which is challenging for wireless video streaming. In this paper, we consider a femtocell scalable video streaming system in which the femto base station purchases interference quota and provides scalable video streaming service to mobile user under dynamic channel conditions and interference price. We propose a dynamic power and layer selection strategy for maximizing the long-term weighted sum of video quality and cost subject to a constraint on playback smoothness (i.e., interruption and fluctuation). In addition, the proposed algorithm does not require any priori knowledge of the channel dynamics, and is capable of operating online with the currently available information. We also conduct simulations to show the performance of the proposed algorithm.

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Profit Maximization in Femtocell Service with Contract Design

Cited by 16 publications

References 19 publications

Dynamic Resource Allocation and Layer Selection for Scalable Video Streaming in Femtocell Networks: A Twin-Time-Scale Approach

Dynamic Resource Allocation and Layer Selection for Scalable Video Streaming in Femtocell Networks: A Twin-Time-Scale Approach

Optimal Pricing Strategy for Operators in Cognitive Femtocell Networks

Dynamic power and layer selection for scalable video streaming in femtocell networks

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