Fair subcarrier and power allocation for multiuser orthogonal frequency-division multiple access cognitive radio networks using a Colonel Blotto game

Tan, Chee Keong; Chuah, Teong Chee; Tan, Su Wei

doi:10.1049/iet-com.2010.1021

Cited by 18 publications

(28 citation statements)

References 16 publications

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“…Hence, only for z * n−1 > 0, and z n > 0, H is positive definite. Therefore, the solutions z * proposed in (15) and meeting (14) such that z n > 0, are the only possible local maxima ofŨ a (z, k).…”

Section: Solution Of the Gcbgmentioning

confidence: 99%

Generalized Colonel Blotto Game

Ferdowsi

Sanjab

Saad

et al. 2018

2018 Annual American Control Conference (ACC)

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Competitive resource allocation between adversarial decision makers arises in a wide spectrum of realworld applications such as in communication systems, cyberphysical systems security, as well as financial and political competition. Hence, developing analytical tools to model and analyze competitive resource allocation is crucial for devising optimal allocation strategies and anticipating the potential outcomes of the competition. To this end, the Colonel Blotto game is one of the most popular game-theoretic frameworks for modeling and analyzing such competitive resource allocation problems. However, in many practical competitive situations, the Colonel Blotto game does not admit solutions in deterministic strategies and, hence, one must rely on analytically complex mixed-strategies with their associated tractability, applicability, and practicality challenges. In this regard, in this paper, a generalization of the Colonel Blotto game which enables the derivation of deterministic, practical, and implementable equilibrium strategies is proposed while accounting for scenarios with heterogeneous battlefields. In addition, the proposed generalized game factors in the consumed/destroyed resources in each battlefield, a feature that is not considered in the classical Blotto game. For this generalized game, the existence of a Nash equilibrium in pure strategies is shown. Then, closedform analytical expressions of the equilibrium strategies are derived and the outcome of the game is characterized, based on the number of each player's resources and each battlefield's valuation. The generated results provide invaluable insights on the outcome of the competition. For example, the results show that, when both players are fully rational, the more resourceful player can achieve a better total payoff at the Nash equilibrium, a result that is not mimicked in the classical Blotto game.

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Section: Solution Of the Gcbgmentioning

confidence: 99%

Generalized Colonel Blotto Game

Ferdowsi

Sanjab

Saad

et al. 2018

2018 Annual American Control Conference (ACC)

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“…The total ST to m th PR interference I m tot , which should be no larger than the m th PR interference limit, can be given by: 3 where p n,k denotes the k th subcarrier transmit power allocated to the n th SR and I m n,k is the ST to PR interference unit. We consider ρ n,k as the time-sharing factor for the k th subcarrier of n th SR.…”

Section: B St To Pr Interferencementioning

confidence: 99%

“…Suboptimal and optimal power allocation policies are examined in [2], where the total capacity of the CR system is maximized under a primary receiver (PR) interference limit. In [3], to maximize the system throughput in OFDMAbased CR networks, a fair resource allocation scheme in the physical layer is devised, while ensuring PR interference limit. The work in [4] introduces a low-complexity algorithm to maximize CR network total capacity while satisfying secondary receiver (SR) proportional rate requirements.…”

Section: Introductionmentioning

confidence: 99%

Cross-layer resource allocation for video streaming over OFDMA cognitive radio networks with imperfect cross-link CSI

Saki

Shojaeifard

Shikh-Bahaei

2014

2014 International Conference on Computing, Networking and Communications (ICNC)

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In this paper, novel cross-layer radio resource allocation (RRA) algorithm is proposed in the context of Orthogonal frequency division multiple access (OFDMA)-based cognitive radio (CR) video application systems. User video quality and channel awareness are incorporated in the design, to exploit joint optimization of rate and power for secondary receivers (SRs), subject to minimum SR video quality and primary receiver (PR) interference threshold constraints. Firstly, the relationship between PR interference margin and power limits at the secondary transmitter (ST) is analytically derived. Then, to provide PRs with satisfactory quality of service (QoS), we propose a new probabilistic approach to mitigate the total imposed interference of the ST on PRs, considering imperfect ST to PR channel state information (CSI). The effect of PR interference limit violation probability, interference threshold, and error variance of imperfect CSI are evaluated using computer simulations. Results indicate that significant improvement in SR total video quality is achieved through our proposed algorithm over other stateof-the-art Non-Quality-Aware (NQA) designs in the literature. The enhanced performance was obtained whilst guaranteeing SR minimum quality and PR prescribed QoS constraints.

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“…However, this algorithm cannot be applied to the CR network where we must adjust the interference introduced to the PU bands below a threshold. Tan [25] proposed a joint subcarrier and power algorithm based on Blotto games. This algorithm can achieve a good trade-off performance between fairness and efficiency in OFDMA-based cognitive radio network (CRN), but it cannot obtain the effectiveness of multiuser diversity for the SUs without ability to generate a virtual MIMO system.…”

Section: Introductionmentioning

confidence: 99%

A Subcarrier-Pair Based Resource Allocation Scheme Using Proportional Fairness for Cooperative OFDM-Based Cognitive Radio Networks

Zhou

Liu

2013

Sensors

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The paper presents a joint subcarrier-pair based resource allocation algorithm in order to improve the efficiency and fairness of cooperative multiuser orthogonal frequency division multiplexing (MU-OFDM) cognitive radio (CR) systems. A communication model where one source node communicates with one destination node assisted by one half-duplex decode-and-forward (DF) relay is considered in the paper. An interference-limited environment is considered, with the constraint of transmitted sum-power over all channels and aggregate average interference towards multiple primary users (PUs). The proposed resource allocation algorithm is capable of maximizing both the system transmission efficiency and fairness among secondary users (SUs). Besides, the proposed algorithm can also keep the interference introduced to the PU bands below a threshold. A proportional fairness constraint is used to assure that each SU can achieve a required data rate, with quality of service guarantees. Moreover, we extend the analysis to the scenario where each cooperative SU has no channel state information (CSI) about non-adjacent links. We analyzed the throughput and fairness tradeoff in CR system. A detailed analysis of the performance of the proposed algorithm is presented with the simulation results.

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Fair subcarrier and power allocation for multiuser orthogonal frequency-division multiple access cognitive radio networks using a Colonel Blotto game

Cited by 18 publications

References 16 publications

Generalized Colonel Blotto Game

Generalized Colonel Blotto Game

Cross-layer resource allocation for video streaming over OFDMA cognitive radio networks with imperfect cross-link CSI

A Subcarrier-Pair Based Resource Allocation Scheme Using Proportional Fairness for Cooperative OFDM-Based Cognitive Radio Networks

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