Dynamic spectrum allocation for uplink users with heterogeneous utilities

Acharya, Joydeep; Yates, Roy D.

doi:10.1109/twc.2009.080073

Cited by 40 publications

(44 citation statements)

References 17 publications

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“…In [6], a game-theoretic adaptive channel allocation scheme was proposed for cognitive radio networks. In [7], a two tier dynamic spectrum allocation system was analyzed for non-strategic users who obtain spectrum from multiple SPs. In [8], a hybrid game approach which contains both cooperative behavior and competitive behavior was proposed for the cognitive radio networks with multi-hop communication links.…”

Section: A Cognitive Radio and Dynamic Spectrum Accessmentioning

confidence: 99%

Spectrum Trading in Cognitive Radio Networks: A Contract-Theoretic Modeling Approach

Gao

Wang

et al. 2011

IEEE J. Select. Areas Commun.

395

209

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Abstract-Cognitive radio is a promising paradigm to achieve efficient utilization of spectrum resource by allowing the unlicensed users (i.e., secondary users, SUs) to access the licensed spectrum. Market-driven spectrum trading is an efficient way to achieve dynamic spectrum accessing/sharing. In this paper, we consider the problem of spectrum trading with single primary spectrum owner (or primary user, PO) selling his idle spectrum to multiple SUs. We model the trading process as a monopoly market, in which the PO acts as monopolist who sets the qualities and prices for the spectrum he sells, and the SUs act as consumers who choose the spectrum with appropriate quality and price for purchasing. We design a monopolist-dominated quality-price contract, which is offered by the PO and contains a set of qualityprice combinations each intended for a consumer type. A contract is feasible if it is incentive compatible (IC) and individually rational (IR) for each SU to purchase the spectrum with the quality-price intended for his type. We propose the necessary and sufficient conditions for the contract to be feasible. We further derive the optimal contract, which is feasible and maximizes the utility of the PO, for both discrete-consumer-type model and continuous-consumer-type model. Moreover, we analyze the social surplus, i.e., the aggregate utility of both PO and SUs, and we find that, depending on the distribution of consumer types, the social surplus under the optimal contract may be less than or close to the maximum social surplus.

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Section: A Cognitive Radio and Dynamic Spectrum Accessmentioning

confidence: 99%

Spectrum Trading in Cognitive Radio Networks: A Contract-Theoretic Modeling Approach

Gao

Wang

et al. 2011

IEEE J. Select. Areas Commun.

395

209

View full text Add to dashboard Cite

show abstract

“…Power control techniques for interference-limited networks, such as cellular networks, have been studied intensively in the literature (see, for example, [1]- [6]), and aimed at achieving optimal network performance while guaranteeing a target signal-to-interference-plus-noise ratio (SINR) for each user. On the other hand, joint bandwidth and power allocation strategy has received much less attention [10]- [12].…”

Section: Motivationmentioning

confidence: 99%

“…In practical wireless networks where both the available transmission power of individual nodes and the total available bandwidth of the network are limited, joint bandwidth and power allocation should be considered [10]- [12]. It is worth noting that most of the works mentioned above on the resource allocation for relay networks have assumed equal and fixed bandwidth allocation for the one-hop links from a source to a destination.…”

Section: Introductionmentioning

confidence: 99%

Joint bandwidth and power allocation in wireless multi-user decode-and-forward relay networks

Gong

Vorobyov

Tellambura

2010

2010 IEEE International Conference on Acoustics, Speech and Signal Processing

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“…This plan permits the range dividing to change to the detriment of the frightfully contiguous other framework's range. The improvement of element frequency allotment strategies that consider the application necessities, nearness of different gadgets in the area and connection picks up between the transmit-get sets [6]. Examine in [7] planned an incorporated DSA plan to upgrade the range usage and boost the benefit of administrators for agreeable remote systems.…”

Section: Introductionmentioning

confidence: 99%