Download Cognitive Radio Networks: Efficient Resource Allocation in by Tao Jiang, Zhiqiang Wang, Yang Cao PDF

By Tao Jiang, Zhiqiang Wang, Yang Cao

Resource allocation is a crucial factor in instant conversation networks. In contemporary many years, cognitive radio-based networks have garnered elevated cognizance and feature been good studied to beat the matter of spectrum shortage in destiny instant communications structures. Many new demanding situations in source allocation seem in cognitive radio-based networks. This booklet specializes in potent source allocation options in different vital cognitive radio-based networks, together with opportunistic spectrum entry networks, cooperative sensing networks, mobile networks, high-speed car networks, and shrewdpermanent grids.

Cognitive radio networks are composed of cognitive, spectrum-agile units able to altering their configuration at the fly in keeping with the spectral surroundings. This power makes it attainable to layout versatile and dynamic spectrum entry techniques with the aim of opportunistically reusing parts of the spectrum briefly vacated through approved fundamental clients. assorted cognitive radio-based networks concentrate on diverse community assets, equivalent to transmission slots, sensing nodes, transmission energy, white house, and sensing channels.

This e-book introduces numerous cutting edge source allocation schemes for various cognitive radio-based networks in response to their community features:

  • Opportunistic spectrum entry networks – Introduces a probabilistic slot allocation scheme to successfully allocate the transmission slots to secondary clients to maximise throughput
  • Cooperative sensing networks – Introduces a brand new adaptive collaboration sensing scheme during which the assets of secondary clients are successfully applied to experience the channels for effective acquisition of spectrum opportunities
  • Cellular networks – Introduces a framework of cognitive radio-assisted cooperation for downlink transmissions to allocate transmission modes, relay stations, and transmission power/sub-channels to secondary clients to maximise throughput
  • High-speed car networks – Introduces schemes to maximise the applied television white house via potent allocation of white area assets to secondary users
  • Smart grids – Introduces potent sensing channel allocation thoughts for buying sufficient to be had spectrum channels for communications among software and electrical energy consumers

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Additional resources for Cognitive Radio Networks: Efficient Resource Allocation in Cooperative Sensing, Cellular Communications, High-Speed Vehicles, and Smart Grid

Example text

Specifically, we dynamically select the number of secondary users based on the SPRT theory to sense channels in each slot for fast acquisition of spectrum opportunities. A MAC-layer sensing framework is constructed for efficient acquisition of spectrum opportunities in a cognitive radio network with cooperative sensing [52]. In the framework, we employ the sequential probability ratio test and develop a new adaptive collaboration sensing scheme for multi-users to collaborate during multiple slots, in which we effectively utilize the resources of secondary users to sense the channels for fast acquisition of spectrum opportunities.

X(k + i) = 0, X (k + i + 1) = 1, Z(k)|ξ ). ,X(k+i)=0,X(k+i+1)=0,Z(k)|ξ )  ,  Pr(Z(k)|ξ )   0 < i ≤ N − 1. 6) is obtained. For the PSA scheme based on HMM, the HMM parameter set ξ can be updated continuously or periodically using the latest sensing results Z(k) as the training sequence. As a result, the SU has the capability to track the variation of the PU’s idle period pattern. 3 Performance Comparisons In the following, we present simulation results of the PSA scheme. In the simulations, the slot duration of the SU is L = 60 ms.

6 shows the performance of the ACSS compared with the conventional schemes with the number of SUs M = 100, 20, 1 under the average SNR γ = −10 dB, and Pm = Pf a = 10−2 . The horizontal axis represents the sensing time, and the vertical axis represents the number of the acquired available channels. It is obvious that an ACSS with a different number of SUs acquires the available channels faster than the conventional schemes. 7: The performance of ACSS and conventional schemes with 100 SUs and different Pm , Pf a under the average SNR γ = −10 dB.

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