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The secrecy transmission performance of cognitive radio ad hoc networks is investigated in this paper. The existing work on secrecy capacity of cognitive radio networks focus on order sense results like scaling laws, however, these results only give asymptotic predictions without an exact expression. In order to overcome this limitation, we propose a new method to derive the closed-form expression...
In this paper, we study a resource allocation scheme for downlink orthogonal frequency division multiplexing (OFDM) cognitive radio networks (CRNs) in which the cognitive base station (BS) is equipped with multiple antennas. The multiple description coding multicast (MDCM) model and beamforming technique are employed to maximize the total received rate of all cognitive radio (CR) users with the constraint...
In this paper, we consider an extension of the cognitive radio channel model in which the secondary transmitter has to obtain (learn) the primary message rather than having non-causal knowledge of it. We formulate an achievable rate region that combines elements of compress-and-forward relaying with coding for the pure cognitive radio channel model. Moreover, we provide parameters design that maximizes...
In this paper, a cognitive radio network with multiple licensed users is considered. A dirty paper coding (DPC) based cooperation scheme for the Gaussian multiple-in-multiple-out (MIMO) cognitive radio network (CRN) with partial transmitter side information is studied. The problem of maximizing the sum-rate of MIMO CRN with multiple primary users over the transmitter covariance matrices, which is...
In this paper, w investigate the achievable throughput of cognitive radio ad hoc networks. The current research on throughput evaluations focus on the average value over spatial distribution of random nodes. However, these average models neglect performance discrepancies resulting from different spatial nodes. In order to overcome this limitation, we derive the achievable rate coverage probability...
In this paper, cooperative multicast with the help of short-range data sharing is studied in the cognitive radio networks (CRNs). The original multicast data is split into many segments, and the transmission of each segment is divided into two stages. In the first stage, cognitive base station transmits each segment to the corresponding cooperative user, and in the second stage, the cooperative user...
This paper investigates the energy efficient resource allocation strategy for OFDM-based cognitive radio (CR) networks with imperfect spectrum sensing. The interference model taking the sensing errors into account is formulated at first. And the objective is to maximize the energy efficiency of the multiuser CR system subject to the total transmission power budget and each primary user's (PU) interference...
With the continuous growth of the wireless communication business, energy issues and environmental problems are becoming increasingly grim. Therefore, this paper investigates the energy efficient transmission scheme with cooperative sensing in cognitive radio networks, in which AND fusion rule is introduced to determine the presence of the primary user. It is proved that the energy efficiency is a...
The transport capacity of cognitive radio ad hoc networks is investigated in this paper. Compared with the related works in the literature which mainly give order sense results like scaling laws, we derive an expression of the single-hop transport capacity for the secondary (SR) network under the outage constraint of the primary (PR) network. The Aloha medium access control (MAC) protocol and the...
The resource allocation scheme for the multiple description coding multicast (MDCM) in orthogonal frequency division multiplexing (OFDM-based) cognitive radio network (CRN) is studied in this paper, aiming at maximizing the total throughput of cognitive radio (CR) users, with constraints on sum transmit power, the maximal receiving rate of each CR user and the maximal total interference introduced...
A novel adaptive power control and beam-forming joint optimization algorithm is proposed in cognitive radio (CR) underlay networks, where cognitive network share spectrum with primary network which spectrum is licensed. In this paper, both primary base station (PBS) and cognitive base station (CBS) are all equipped with multi antennas, while each primary user (PU) and cognitive user (CU) has only...
In this paper we investigate the cooperative beamforming in cognitive radio network (CRN) composed of a primary network (PN) and a secondary network (SN). In the SN, the transmitter has to communicate with the receiver with the help of the hybrid relays which use cooperative beamforming to retransmit data. The relays will select amplify-and-forward (AF) or decode-and-forward (DF) according to the...
An adaptive subcarriers nulling power allocation algorithm for OFDM-based cognitive radio (CR) network was proposed to maximize the total capacity of CR users, with constraints on sum transmit power and the interference introduced to individual primary user on its allocated frequency band. The proposed algorithm considering both CR users' channel states and the interference to primary users (PUs)...
In this paper, we investigate the problem of the multi-user uplink scheduling in cognitive radio cellular network. The objective is to maximize the system throughput, while protecting the QoS of primary user (PU) from being affected by cognitive user (CU). Here, PU's QoS is represented by its rate outage probability and it also reflects on the interference temperature (IT). It is equivalent to say...
In cognitive radio networks, secondary users can share frequency spectrum with primary users, where the primary users charge secondary users for radio resource usage. Pricing schemes adopted by primary users is crucial to both primary users and secondary users. In this paper, we investigate three different pricing models in a cognitive network. Under the Bertrand competition, all sellers make decision...
In cognitive radio networks, primary users can share frequency spectrum with secondary users and charge secondary users for radio resource usage. For the primary user, the price determines its revenue. In this article, we first consider competitive pricing. Under competition, service providers offer the prices simultaneously or sequentially. Nash equilibrium and Stackelberg equilibrium have been obtained...
Based on interference temperature model, the problem of secondary spectrum sharing can be formulated as a power optimization problem at physical layer. In this paper, we consider decentralized cognitive radio networks, and we especially focus on the spectrum sharing scenario where multiple measurement points are located in the licensed system. Game theory is used to investigate the distributed power...
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