A Method for Energy Efficient Resource Allocation in Cooperative Cognitive Wireless Networks

A cognitive wireless network and resource allocation technology, which is applied in the field of energy-efficient resource allocation in cooperative cognitive wireless networks, can solve problems such as SU inapplicability and incomplete information, and achieve the effect of increasing fairness and improving energy efficiency

Inactive Publication Date: 2020-04-17
CHONGQING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The shortcomings of the above methods are: only focusing on time resource division may cause the SU to transmit its own data only in a limited time slot, which is not applicable to some SUs that need to transmit for a long time; in addition, most of the above methods do not Consider the situation when the information is incomplete

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  • A Method for Energy Efficient Resource Allocation in Cooperative Cognitive Wireless Networks
  • A Method for Energy Efficient Resource Allocation in Cooperative Cognitive Wireless Networks
  • A Method for Energy Efficient Resource Allocation in Cooperative Cognitive Wireless Networks

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Experimental program
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Embodiment 1

[0053] like figure 1 As shown, the energy-efficient resource allocation method for a cooperative cognitive wireless network provided in this embodiment considers the problem of spectrum and power allocation between primary users and secondary users in a cooperative cognitive wireless network. The authorized spectrum of the primary user is divided into two parts, which are called the primary channel and the secondary channel respectively. The secondary channel is assigned to the secondary user to transmit data. It is used for the primary user to transmit data, including the primary user transmitting its own data and the secondary user relaying the primary user's data, so as to improve the energy efficiency of the primary user. The transmission power allowed by each secondary user on the secondary channel is proportional to the transmission power of the secondary user providing relay services to the primary user, because the relay transmission power reflects the contribution mad...

Embodiment 2

[0105] like figure 1 As shown, the key to cooperative spectrum sharing is how to determine the transmission power allowed by the SU in the sub-channel. Apparently the PU hopes that all SUs can use more power when relaying their data to increase the data rate of the PU, but the contribution of the SU to the relay transmission depends not only on the transmission power, but also on the channel conditions between it and the PU. To explain this, first analyze the capacity of the PU. The signal-to-noise ratio received by the PR in the first time slot directly transmitted by the main channel has

[0106]

[0107] Among them, W is the total bandwidth of the PU licensed spectrum, α is the proportion coefficient of the bandwidth relinquished from the PU to the SU as the sub-channel to the total bandwidth, and P p is the transmit power of the PU in the first time slot, h p is the channel gain between the PU sender and receiver, n 0 is the power spectral density of additive Gaussi...

Embodiment 3

[0180] In this embodiment, the transmission energy efficiency of the primary user and the spectrum utilization rate of the entire network are improved by implementing an energy-efficient resource allocation method for a cooperative cognitive wireless network.

[0181] like figure 1 As shown, a 10km×10km square area is selected as the network area, and the PT and PR are respectively fixed to the midpoints of a pair of opposite sides. There are M=5 SUs in the network area, the sending ends of each SU are randomly distributed, and the receiving end of each SU is randomly placed in a circular area with its sending end as the center and a small radius. Set the path loss factor to 2, the transmit power Pp of the PU=100mW, and the maximum power limit of the SU Unit energy cost of SU Noise power spectral density n0=10 -13 mW / Hz, the authorized total bandwidth owned by the PU is W=1MHz.

[0182] Figure 4 is the power convergence diagram of the PADSUA algorithm. Since each SU w...

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Abstract

The invention discloses a high-energy-efficiency resource allocation method for a cooperative cognitive radio network. Licensed spectrum of each PU (Primary User) is divided into two parts. One part is transferred to each SU (Secondary User) as a special channel, and the other part is used for PU transmission. The PU transmission comprises the fact that each PU transmits own data and each SU relays PU data, thereby improving the energy efficiency of each PU. Each SU can transmit own data on the special channel, while the power is in direct proportion to the data relaying power. In a model, own strategies should be taken into consideration by each PU and each SU. The relay power selected by each SU is decided by the special channel bandwidth and the relaying power of other SUs, due to the fact that the Shannon capacity is decided by the channel bandwidth and a signal to interference plus noise power ratio. The capacity of each PU is decided by own transmission channel bandwidth and the relaying power of each SU. Each SU is driven to increase the relaying power by increasing the special channel bandwidth, while the own transmission channel bandwidth is reduced. Each PU needs to select the suitable special channel bandwidth, thereby maximizing the capacity. According to the method, the frame is modeled into a Stackelberg game, thereby researching the Nash equilibrium existence, the uniqueness and the user efficiency.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a method for allocating energy-efficient resources in a cooperative cognitive wireless network. Background technique [0002] Cognitive Radio (CR: Cognitive Radio) is a new technology to improve the utilization of spectrum resources. As an intelligent communication system that can perceive the external environment, it allows multi-dimensional resource sharing in the time domain, frequency domain and air domain. In the CR network, there are two types of users. One type is the authorized user of the spectrum, that is, the primary user (PU:Primary User); the other type is the unlicensed user who tries to opportunistically access the spectrum, that is, the secondary user (SU:Secondary User). The core idea of ​​CR is to allow the secondary user to access the authorized channel of the primary user, provided that the communication of the secondary user cannot cause into...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W16/10H04W16/14
CPCH04W16/10H04W16/14Y02D30/70
Inventor 冯文江姜文浩应腾达张博为刘国岭代才莉
Owner CHONGQING UNIV
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