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In this paper, we use a Spectrum Sharing/allocation algorithm to implement a Cognitive Radio network without spectral awareness. This allows radio resources to be allocated to primary users and to secondary users in such a way that primary system and secondary system are aware of each other. By doing this, sensing of spectrum holes is avoided but the primary users will be protected and will always...
In this paper, we study the problem of jointing power and rate optimization in multi-channel Heterogeneous Cognitive Radio Networks (H-CRNs), where the Leader-Follower relationship between Primary Users (PUs) in macrocells and Secondary Users (SUs) in femtocells is modeled as a Stackelberg game. We formulate the problem of power allocation in primary networks as a Non-Cooperative Game, while formulating...
Cognitive radio represents a promising paradigm to further increase transmission rates in wireless networks, as well as to facilitate the deployment of self-organized networks such as femtocells. Within this framework, secondary users (SU) may exploit the channel under the premise to maintain the quality of service (QoS) on primary users (PU) above a certain level. To achieve this goal, we present...
In cognitive radio network, transmission power must be carefully controlled to maximize the channel usage. This paper investigates the relationship of transmission power among primary and secondary users under the game theory framework. Both cooperative and non-cooperative games are considered. Particularly, two variations of cooperative games are formulated, differed by the total utility functions...
Dynamic spectrum access using cognitive radio is regarded as a disruptive technology to improve spectrum efficiency. The deployment of dynamic spectrum access in cognitive radio network (CRN), however, raises a great challenge to meet the quality-of-service (QoS) requirements of cognitive radio (secondary) users while protecting licensed/primary users from harmful interference. While there have been...
In cognitive radio networks (CRNs), transmission power levels (TPLs) of secondary users (SUs) have a significant impact on system performance. As interference to primary users (PUs) increases with TPLs of SUs, whereas the Quality of service (QoS) of CRNs cannot be satisfied with low TPLs of its users. In this paper, we carefully investigate how to decide the TPLs of SUs by using non-cooperative game...
This study provides a general framework for distributed multi-user power control problems in cognitive radio (CR) networks over fading channels. Using a non-cooperative game with coupled constraints in CR and primary channel outages, the fundamental performance traits of power control for multiple CR users are analyzed in the present of multiple primary users (PUs) in fading environments for the first...
In this paper1, we propose a resource allocation scheme based on a utility/pricing strategy with the objective to maximize a defined utility function subject to minimize the mutual interference caused by secondary users (SUs) with protection for primary users (PUs). Specifically, we formulate a utility function to reflect the needs of PUs by verifying the outage probability constraint, and the per-user...
In this paper, we propose a power control algorithm incorporating distributed beam-forming via multi-relay structure with underlay cognitive radio architecture. This problem is modeled as a non-cooperative game and a novel distributed algorithm is designed to achieve Nash equilibrium (NE). At each iteration, power and beam forming weights are determined while quality of service (QoS) of primary and...
In this paper we introduce a new architecture for dynamic spectrum sharing called the distributed dynamic spectrum leasing (D-DSL) and a game theoretic framework for its implementation on a cognitive radio network. In D-DSL, it is assumed that each channel is assigned to a primary user who may lease the channel to secondary users. The spectrum owners can thus dynamically adjust the amount of interference...
As the scarce spectrum resource is becoming overcrowded, cognitive wireless mesh networks express great flexibility to improve the spectrum utilization by opportunistically accessing the authorized frequency bands. One of the critical challenges for realizing such networks is how to adaptively match transmit powers and allocate frequency resources among secondary users (SUs) of the licensed frequency...
In this paper, a novel power control algorithm for cognitive radio networks is proposed based on game theory. Taking power expenditure, quality of service (QoS) of both primary users (PUs) and cognitive second users (SUs) into account, we can model the power control problem as a multi-objective optimization problem. To solve this problem, a convex cost function is first constructed in terms of transmit...
Cognitive wireless mesh networks have great potential to green communication. One of the critical challenges for realizing such networks is how to adaptively match transmit powers and allocate frequency resources among secondary users of the licensed frequency bands whilst maintaining the quality-of-service (QoS) requirement of the primary users, even in mutually entangled interferences environment...
Coexistence of a cognitive radio network (CRN) with a primary user network (PUN) using spectrum underlay communication is modeled as a non-cooperative power and rate control game (NPRG). Main objective is to maximize the utility of each secondary user (SU) making them more energy efficient. Quality of Service (QoS) levels of SUs are guaranteed by max-min fair signal to interference plus noise ratio...
In this paper, we study the dynamic uplink power allocation problem in a multi-cell multi-user CDMA-based cellular cognitive radio (CR) system, in which the concept of hierarchical interference bound is introduced to describe the coexistence of the multi-user interference. We propose a novel differential game-based dynamic power allocation model via two formulated cost functions. Furthermore, we present...
The primary-secondary user combined power allocation problem is considered in this paper. The problem is addressed in cognitive radio-based relay-assisted networks, where the primary user and the secondary user coexist and influent on each other, and the relays are expected to undertake partial tasks of collecting channel information, computing the optimal power allocation strategy, and informing...
In the present paper, a game theoretic framework of joint channel selection and power allocation for spectrum sharing in distributed cognitive radio networks is proposed. The objective of the proposed scheme is to investigate the performance of the lower- priority system in spectrum sharing where the lower-priority users utilize the spectrum by selecting the channel and transmit power while aware...
Aiming at the power control in cognitive radio, a power control game algorithm based on interference temperature is discussed, and non-cooperative power control game which is created by David Goodman is used. The efficiency function was mended, and we also designed a new pricing function with interference temperature. Compared with other power control game models, the simulation shows that the NPG-ITLP...
The cognitive radio (CR) based IEEE 802.22 is a standard for wireless regional area networks (WRANs), which is allowed to utilize TV bands when no interference is present to incumbents (i.e. TV receivers and microphones). Compared to other existing networks, it has larger coverage range and provides broadband access in rural and remote areas with performance comparable to DSL and cable modems. It...
Most known DSA (Dynamic Spectrum Access) methods in wireless network aim at enhancing the total system utility. As such, spectrum wastage may arise when the system-wise optimal allocation falls outside the desired region for QoS provisioning. The goal of this paper is to develop QoS-aware distributed DSA schemes using a game-theoretic approach. We devise a DSA solution which provides QoS level within...
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