An access technique for secondary network in downlink channels

Ahmed, Waqas; Gao, Jason; Saleem, Shahryar; Faulkner, M.

doi:10.1109/pimrc.2011.6139996

Cited by 24 publications

(19 citation statements)

References 16 publications

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“…The sensing is performed on the uplink channel and the transmission is carried out in the corresponding slot of the downlink channel. The outage probabilities of both PU and SU are discussed in [8]. In [9], mixed primal and dual decomposition methods are employed to solve the downlink spectrum sharing problem with the aim of maximizing throughput.…”

Section: Related Workmentioning

confidence: 99%

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Downlink Power Control for CDMA Satellite Cognitive Radio

Chen¹,

Qiu²,

Feng³

2013

JNW

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In this paper, we consider power control for a code-division-multiple-access (CDMA)-based satellite cogni-
tive radio network where the satellite acts as the common transmitter of primary users and secondary users. Specially, we assume that primary users are willing to share resource with secondary users by means of leasing spectrum, while secondary users have to pay for the shared spectrum. In addition, secondary users are allowed to transmit on any sub-channel provided that the resulting interference to any primary users is below a critical threshold. We focus on the downlink. The objective is to maximize the throughput in the licensed frequency band of the satellite network. We formulate the problem as a game theoretic problem with all users as the players. We propose a tow-phase control scheme that can be accepted willingly by both types of users and can maximize the throughput of the satellite network. In the first phase, the Nash Equilibrium point is calculated with an iterative method, the existence of the Nash Equilibrium point is also proved. In the second phase, Payoff Dominance Selection is used to choose the optimal power allocation under the constraints including quality of service protections of all users and maximum transmission power of the onboard power amplifier. Simulation is performed to study the parameters of the system and of each user. By simulation, we find that the throughput is greatly increased by the proposed scheme compared with traditional satellite networks where fixed power is allocated to only primary users. Onboard complexity is also analyzed

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Section: Related Workmentioning

confidence: 99%

“…The second term in (8) is the total amount charged on SU k for receiving data. It is easy to see that the goal of secondary user is to achieve the most energy efficient transmission from the utility function in (8).…”

Section: B Operational Requirementsmentioning

confidence: 99%

Downlink Power Control for CDMA Satellite Cognitive Radio

Chen¹,

Qiu²,

Feng³

2013

JNW

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“…The integration of heterogeneous networks has become the developmental direction of next-generation wireless networks, wireless resources shared is the premier intention for the integration of heterogeneous wireless networks and reasonable heterogeneous network resource scheduling is a key technologies to achieve efficient radio resource sharing [15][16][17]. Load balancing is determined by multiple servers in a symmetrical manner to form a collection of servers, each server has the equivalent status, and it can provide service outside independently without the aid of other servers.…”

Section: Introductionmentioning

confidence: 99%

Load Balancing Algorithm of Switched Dynamic Iteration

Chen¹,

Wu²,

Ren³

2015

TOCSJ

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Abstract:In order to reduce business latency and packet loss rate, to improve the throughput of integration of heterogeneous wireless network, to achieve load diversification and to improve end quality of service, while there are many problems on the dropout rate of the traditional load balancing algorithm in processing throughput, delay and business, therefore, gateway load balancing algorithm is proposed in this paper. All terminals in the access network can reflect the effectiveness of the average network load level of the network; this algorithm will gain weight of the load in the network of small business terminal to switch to the network load which is light. First, it defines the heterogeneous networks and network terminal payoff function utility functions which are used to characterize the experience and network QOS terminal load situation, and then presents the specific processes of the gateway load balancing algorithm. Finally, switching decisional load balancing algorithm, proposed by Yan X, etc. is compared with simulation experiments and it shows that: the proposed gateway load balancing algorithm has strong robustness to achieve network load balancing and to achieve a balanced use of network resource.

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“…Previously many science researchers had made a lot of research, has achieved fruitful results [5][6][7]. Arenas A provided a state parameter for analysis the free state network to congestion status transformation that provides the perfect theoretical description way; Wang D proposed multiple routing policy that can improve the network load [8][9][10]; Guimera R discovered the relationship between the network data flow load with network Betweenness, and found that network load and network node Betweenness is inversely proportional to the largest [11][12][13]; Zhang G Q proposed that by deleting some edges on the network to reduce network node Betweenness, it can raise capacity of network load of delete edge expansion method, HU, M B analysis spare bandwidth allocation, network load ability of qualitative change [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Bandwidth Allocation Algorithm of Heterogeneous Network

Hu¹,

Wang²,

Zhang³

2014

JNW

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In order to reasonable and effective distribute bandwidth to giving full play to the advantages of network resources and improve the efficiency of network data flow in heterogeneous network, this paper puts forward a heterogeneous network bandwidth allocation algorithm. The algorithm is adopted connection bandwidth constraint mechanism in the flow model, starting from the data transmission in the network key topological properties, and combines with routing strategy, using the connection bandwidth allocation to regulate the flow of the network data flow, to achieve ease network congestion, increase network load capacity, at the same time, the qualitatively analyses the process and cause of the change of the flow. Finally in scale-free network and small-world network on the network topology platform made simulating experiment, the experimental results show that: The algorithm optimizes the network bandwidth resource allocation, regulates the network traffic, increased the network load capacity.

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An access technique for secondary network in downlink channels

Cited by 24 publications

References 16 publications

Downlink Power Control for CDMA Satellite Cognitive Radio

Downlink Power Control for CDMA Satellite Cognitive Radio

Load Balancing Algorithm of Switched Dynamic Iteration

Bandwidth Allocation Algorithm of Heterogeneous Network

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