DAMW: Double Auction Multi-winner Framework for Spectrum Allocation in Cognitive Radio Networks

Devi, Monisha; Sarma, Nityananda; Deka, Sanjib Kumar

doi:10.1007/978-3-030-37484-6_15

Cited by 4 publications

(5 citation statements)

References 23 publications

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“…In this paper, we propose a multi-channel multi-winner sealed-bid double auction mechanism to model the spectrum allocation problem in CRN. It extends the work carried out in [11] which designs a double auction framework that allows spectrum reuse with single channel allocation of the homogeneous channels. In our proposed model, POs participate in the game to obtain a monetary profit where they report ask values to the SB for leasing their vacant channels.…”

Section: Introductionmentioning

confidence: 82%

“…Now, with an allocation A = {a ij } N ×Y obtained for the auctioned channels in different auction rounds, spectrum utilization, S u , can be defined as the sum total of winning bid values of SUs for the assigned channels and is expressed in Eq. 4 [11], [29]. Spectrum utilization gives a measure of the total data rate that has been allowed over the used channels.…”

Section: So U (B) Imentioning

confidence: 99%

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A Double Auction Framework for Multi-Channel Multi-Winner Heterogeneous Spectrum Allocation in Cognitive Radio Networks

2021

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Opportunistic availability of licensed frequency bands enables the secondary users (SUs) to avail the radio spectrum dynamically. Cognitive radio (CR) paradigm extends the dynamic spectrum access techniques to sense for free channels (called spectrum holes) which can be efficiently redistributed amongst SUs. Motivated by the adaptive technology in CR, this paper introduces a sealed-bid double auction mechanism which aims to obtain an effective allocation of the unused radio spectrum. The proposed auction model adopts multi-channel allocation where one SU can access more than one available channel, while imposing the constraints for dynamics in spectrum opportunities and varying channel availability time amongst SUs. Previously designed double auctions miss out the CR constraints which can further degrade the network performance. Also, multi-winner allocation is induced in the model which encourages spectrum reuse by allowing a common channel to be assigned to multiple non-interfering SUs. A preference list of channels is maintained at each SU using which SUs offer their bid values for the heterogeneous channels which the primary owners are competing to lease. To organize channel specific groups of non-interfering SUs, a bidder group formation algorithm is developed such that members of a winner group get access to a common channel. The auctioneer formulates a winner determination strategy and a pricing strategy which achieves truthfulness while assigning the idle spectrum. Effectiveness of the proposed model is studied by comparing it with an existing work which shows that channel allocation gets significantly improved on deploying the proposed model.

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Section: Introductionmentioning

confidence: 82%

Section: So U (B) Imentioning

confidence: 99%

A Double Auction Framework for Multi-Channel Multi-Winner Heterogeneous Spectrum Allocation in Cognitive Radio Networks

2021

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“…The auctioneer then created pricing and winning selection algorithms. In [37], a multi-winner double auction process was implemented, with secondary users placing bids and primary users asking for higher prices. Based on the bids and requests, the auctioneer sets the final selling price.…”

Section: Related Workmentioning

confidence: 99%

Joint Optimization Scheme of User Association and Channel Allocation in 6G HetNets

Alhashimi,

Hindia,

Dimyati

et al. 2023

Symmetry

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The sixth-generation (6G) wireless cellular network integrates several wireless bands and modes with the objectives of improving quality of service (QoS) and increasing network connectivity. The 6G environment includes asymmetrical heterogeneous networks (HetNets) with the intention of making effective use of the available frequencies. However, selecting a suitable gNB and a communication channel that works for users in the network is an enormous challenge in 6G HetNets. This paper investigates a joint user association (UA) and channel allocation (CA) problem in two-tier HetNets by considering the downlink scenario to improve QoS. Our study presents an innovative scheme for user association and channel allocation, wherein the user can be connected to either the macro base station (MBS) or a possible small base station (SBS) in a direct or relay-assisted link. Furthermore, the proposed scheme identifies the optimal channel to be allocated to each user so that the overall network QoS can be maximized. A symmetric matching game-based user association is proposed to find the optimal association for users. Moreover, a modified auction game is applied to allocate the optimal channel by considering the quota of each gNB. Regarding connection probability, throughput, energy efficiency (EE), and spectrum efficiency (SE), the simulation results show that the proposed approach performs well over the state-of-the-art techniques.

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“…Then, the auctioneer developed algorithms for the pricing and the winner determination. A double-auction-multi-winner mechanism was introduced in [25], where both the SUs submitted bids while the PUs submitted ask values. An auctioneer decided the clearing price based on the received bids and asks.…”

Section: A Related Workmentioning

confidence: 99%

A Two-Stage Matching Game and Repeated Auctions for Users Admission and Channels Allocation in 5G HetNets

et al. 2023

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The fifth-generation (5G) wireless cellular networks aim to increase the users' capacities and quality of experience as well as to integrate different wireless bands and modes of access. The introduction of cognitive radio technology and heterogeneous networks (HetNets) as part of the architecture of the 5G aims to efficiently reuse the available spectrum. This paper presents a two-stage framework based on matching theory and auction games with the objective of efficiently admitting secondary users to the wireless scene. In the first stage, a fast convergence matching game for the users admission problem in 5G HetNets is considered, where secondary users are associated to appropriate secondary base stations. These base stations access the available primary spectrum on behalf of its associated users in the next stage, namely a repeated modified English auction. Results show the existence of a stable matching point for the users admission game and a Walrasian equilibrium point for the repeated auctions. In addition, extensive simulations are performed to compare the proposed repeated auction against the single auction and the matching theory. It is proven that the repeated auction game outperforms the single auction game and matching game in terms of the occupancy of primary channels and the satisfaction of the secondary users.

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DAMW: Double Auction Multi-winner Framework for Spectrum Allocation in Cognitive Radio Networks

Cited by 4 publications

References 23 publications

A Double Auction Framework for Multi-Channel Multi-Winner Heterogeneous Spectrum Allocation in Cognitive Radio Networks

A Double Auction Framework for Multi-Channel Multi-Winner Heterogeneous Spectrum Allocation in Cognitive Radio Networks

Joint Optimization Scheme of User Association and Channel Allocation in 6G HetNets

A Two-Stage Matching Game and Repeated Auctions for Users Admission and Channels Allocation in 5G HetNets

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