A price based dynamic spectrum allocation scheme

Acharya, Joydeep; Yates, Roy D.

doi:10.1109/acssc.2007.4487326

Cited by 10 publications

(3 citation statements)

References 12 publications

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“…The wide interest in DSA is indeed mainly driven by the expected benefits resulting from sharing the spectrum [7]. Acharya and Yates [8] analyse a network model where the service providers' base stations are sharing a common amount of spectrum. A distributed DSA algorithm is proposed where each user maximises its utility (bit rate) minus the payment for the spectrum.…”

Section: Introductionmentioning

confidence: 99%

Optimal, heuristic and Q‐learning based DSA policies for cellular networks with coordinated access band

Kamal

Coupechoux

Godlewski

et al. 2010

Trans Emerging Tel Tech

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SUMMARYDue to the increasing demands for higher data rate applications, also due to the actual spectrum crowd situation, Dynamic Spectrum Access (DSA) turned into an active research topic. In this paper, we analyse DSA in cellular networks context, where a Coordinated Access Band (CAB) is shared between Radio Access Networks (RANs). We propose a Semi-Markov Decision Process (SMDP) approach to derive the optimal DSA policies in terms of operator reward. In order to overcome the limitations induced by optimal policy implementation, we also propose two simple, though sub-optimal, DSA algorithms: a Q-learning (QL) based algorithm and a heuristic algorithm. The achieved reward using the latter is shown to be very close to the optimal case and thus to significantly exceed the reward obtained with Fixed Spectrum Access (FSA). The rewards achieved by using the QL-based algorithm are shown to exceed those obtained by using FSA. Higher rewards and better spectrum utilisation with DSA optimal and heuristic methods are, however, obtained at the price of a reduced average user throughput.

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Section: Introductionmentioning

confidence: 99%

Optimal, heuristic and Q‐learning based DSA policies for cellular networks with coordinated access band

Kamal

Coupechoux

Godlewski

et al. 2010

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…The wide interest in DSA is indeed mainly driven by the expected benefits resulting from sharing the spectrum [7]. Reference [8] analyzes a network model where the service providers base stations are sharing a common amount of spectrum. A distributed DSA algorithm is proposed where each user maximizes his utility (bit rate) minus the payment for the spectrum.…”

Section: Introductionmentioning

confidence: 99%

Optimal and heuristic DSA policies for cellular networks with Coordinated Access Band

Coupechoux

Kamal

Godlewski

et al. 2009

2009 European Wireless Conference

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Due to the increasing demands for higher data rate applications, also due to the actual spectrum crowd situation, DSA (Dynamic Spectrum Access) turned into an active research topic. In this paper, we analyze DSA in cellular networks context, where a CAB (Coordinated Access Band) is shared between RANs (Radio Access Networks). We propose an SMDP (Semi Markov Decision Process) approach to derive the optimal DSA policies in terms of operator reward. In order to overcome the limitations induced by optimal policy implementation, we also propose a simple, though sub-optimal, DSA heuristic. The achieved reward is shown to be very close to the optimal case and thus to significantly exceed the reward obtained with FSA (Fixed Spectrum Access). Higher rewards and better spectrum utilization with DSA optimal and heuristic methods are however obtained at the price of a reduced average user throughput.

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“…In [2], a price based spectrum allocation scheme is proposed, where the PUs offer spectrum to end users and end users can obtain service from any PU. The spectrum price and allocated bandwidth is determined by end user utility.…”

mentioning

confidence: 99%

Pricing of Cognitive Radio Rights to Maintain the Risk-Reward of Primary User Spectrum Investment

Wysocki

Jamalipour

2010

2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)

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Cognitive Radio (CR) has been recently proposed as a method of alleviating the shortage of radio spectrum, by increasing the efficiency of spectrum use. However, as large portions of spectrum remain under long-term licenses, the economic welfare of the primary license holders must be taken into account, when considering methods of spectrum access that may degrade license holder Quality-of-Service (QoS) and therefore revenue. Several price discovery methods have been proposed to find the fee that license holders should charge for cognitive access to their spectrum. This paper examines the spectrum licenses themselves as an investment class. By performing a reward-to-variability (Sharpe Ratio) analysis of the spectrum license under different levels of CR activity, a floor price for CR access is derived such that the quality of the license holder's spectrum investment from a Sharpe Ratio point of view is not degraded. An example scenario is provided to illustrate this pricing mechanism, and simulation results illustrate its effectiveness in maintaining the quality of the license holder's spectrum investment.

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A price based dynamic spectrum allocation scheme

Cited by 10 publications

References 12 publications

Optimal, heuristic and Q‐learning based DSA policies for cellular networks with coordinated access band

Optimal, heuristic and Q‐learning based DSA policies for cellular networks with coordinated access band

Optimal and heuristic DSA policies for cellular networks with Coordinated Access Band

Pricing of Cognitive Radio Rights to Maintain the Risk-Reward of Primary User Spectrum Investment

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