CN105897321A - SWIPT signal receiving method based on time slot assignment, and receiver - Google Patents

Abstract

The invention provides a SWIPT (Simultaneous Wireless Information and Power Transfer) signal receiving method based on time slot assignment, and a receiver, which relate to the field of wireless communication receivers. In order to solve a problem of rough resource allocation for rate and energy in a receiver algorithm and low working efficiency of the receiver in the existing technology, the method provided by the invention comprises steps of: acquiring large-scale fading coefficients, transmitting signal power, noise power, channel gain and number of antennae from to-be-received signals; according to the preceding parameters, determining a function relational expression of an optimal threshold value about an average collected energy value and an average achievable rate value, and an optimization function, and obtaining the optimal threshold value; and judging according to the optimal threshold value, and controlling an energy receiving part to receive energy or controlling an information receiving part to receive information. The receiver provided by the invention comprises a threshold switching module for controlling switching of energy receiving or information receiving, and function of the receiver is realized based on the preceding method. The method and the receiver provided by the invention are suitable for design of the receivers of a SWIPT system.

Description

A kind of wireless taking based on time slot distribution can signal of communication method of reseptance and receiver

Technical field

The present invention relates to wireless communication receiver field, particularly relating to wireless taking can signal of communication method of reseptance.

Background technology

Current era, radio communication service explosive growth, network large-scale, communication equipment variation.Such as sense Many energy constraint networks such as device network, power consumption is low, but because its network size is big, there is difficult wiring, sustainability difference etc. Problem.

Radiofrequency signal carries information and energy simultaneously, wireless takes (the Simultaneous Wireless that can communicate Information and Power Transfer, SWIPT) technology can utilize the energy and surrounding space carried in signal In radio frequency energy be that receiver is charged, receiver can realize simultaneously information transmission with two kinds of merits of collection of energy Energy.But for same receiver, limited owing to receiving signal energy, energy and information rate are the demands of two kinds of contradictions, Can not meet simultaneously.Tradition cycle handoff algorithms one entire timeslots is divided into not wait before and after two sections, proportionality coefficient is by system Determine, in the time-varying key element such as channel gain, multipath fading not being designed in view of algorithm, thus its poor-performing.With reference to figure 5, wherein straight line portion is the cycle handoff algorithms of prior art, it is seen that when average collection energy is 40 μ W, existing The average achievable rate having technology is 0.32bps/Hz；When average achievable rate is 0.4bps/Hz, the average receipts of prior art Collection energy is 33 μ W.Take in energy signal of communication method of reseptance for speed and the money of energy it is to say, wireless in prior art Source distribution is the most rough, it is difficult to meets simultaneously, causes resource unreasonable distribution, reduces operation of receiver efficiency.Accordingly, it would be desirable to A kind of new signal of communication method of reseptance, realizes the compromise of energy and speed by the distribution of rational resource.

Summary of the invention

The present invention is to solve that existing wireless taking can exist that resource distribution is rough, operation of receiver by signal of communication method of reseptance Inefficient problem, so provide that a kind of receiver wireless based on time slot distribution take can signal of communication method of reseptance and connecing Receipts machine.

Wireless taking can carry out precoding by random wave bundle figuration technology by signal of communication, and pre-coding matrix is by channel matrix h Carrying out singular value decomposition to obtain, and meet independent same distribution, wireless the taking of receiver based on time slot distribution can signal of communication Method of reseptance comprises the following steps:

Step one: from receiving signal acquisition large scale fading coefficients θ, launching signal power P, noise power σ², channel increase Benefit H and antenna number N_t, described signal to be received carries energy and information, wherein said channel gain H and described channel matrix h Meet

Step 2: according to described large scale fading coefficients θ, launch signal power P, noise power σ², channel gain H, sky Line number N_tDetermine optimum gate limit valueRespectively about the average functional relation collecting energy value and average achievable rate value；

Step 3: determine optimization function according to described functional relation；

Step 4: try to achieve optimum gate limit value according to described optimization function

Step 5: judge according to described optimum gate limit value, and carry out according to judged result control energy acceptance parts Energy acceptance or control information receiving parts carry out information reception.

Present invention also offers a kind of receiver, described receiver includes thresholding handover module, described thresholding handover module Receiving for controlling switching energy acceptance or information, the function of thresholding handover module realizes based on said method.

Having the technical effect that of the inventive method, according to the large scale fading coefficients obtained from signal of communication, launches signal Power, noise power, channel gain and antenna number calculate more accurate average achievable rate and averagely collect energy. And when being applied to concrete energy constraint type receiver, higher information rate can be reached, be applied to concrete speed During constrained receiver, more energy can be collected.With reference to Fig. 5, it can be seen that when average collection energy is 40 μ W, flat All achievable rates are 0.37bps/Hz, exceed 0.05bps/Hz compared to existing technology；When average achievable rate is 0.4bps/Hz Time, average energy of collecting is 38bps/Hz, exceeds 5 μ W compared to existing technology.It is to say, the present invention is averagely collecting energy range Between when being in 15 μ W to 65 μ W, the highest exceed 0.05bps/Hz than prior art effect；It is in 0 in average achievable rate interval During to 0.6bps/Hz, the highest comparable prior art effect exceeds 5 μ W.

Accompanying drawing explanation

Fig. 1 is based on time slot distribution the wireless flow chart taking energy signal of communication method of reseptance of the present invention；

Fig. 2 is the transmitting terminal structural representation with receiving terminal of wireless portable communications system；

Fig. 3 is the algorithm flow chart solving optimum gate limit value with two way classification；

Fig. 4 is the flow chart being received according to threshold value；

Fig. 5 is the comparison diagram of cycle handoff algorithms and thresholding handoff algorithms；

Fig. 6 is contrast difference's figure of energy constraint type receiver and rate-constrained type receiver；

Fig. 7 is based on time slot distribution the wireless schematic diagram taking energy signal of communication method of reseptance of the present invention.

Detailed description of the invention

Detailed description of the invention one: wireless the taking of the receiver based on time slot distribution of present embodiment can receive by signal of communication Method, wireless taking can carry out precoding by random wave bundle figuration technology by signal of communication, and pre-coding matrix is carried out by channel matrix h Singular value decomposition obtains, and meets independent same distribution, comprises the following steps:

In step one, from receiving signal acquisition large scale fading coefficients θ, launching signal power P, noise power σ², letter Road gain H and antenna number N_t, described signal to be received carries energy and information, and channel gain H and channel matrix h meets

In step 2, according to described large scale fading coefficients θ, launch signal power P, noise power σ², channel gain H, antenna number N_tDetermine optimum gate limit valueRespectively about the average functional relationship collecting energy value and average achievable rate value Formula；

In step 3, determine optimization function according to described functional relation；

In step 4, try to achieve optimum gate limit value according to described optimization function

In step 5, judge according to described optimum gate limit value, and control energy acceptance parts according to judged result Carry out energy acceptance or control information receiving parts carries out information reception.

Detailed description of the invention two: present embodiment is unlike detailed description of the invention one:

Calculate average achievable rate R particularly as follows:

$R(H,N_t,\stackrel{\‾}{A})={\∫}_0^{\stackrel{\‾}{A}}{\log }_2(1+\frac{\mathrm{\θ}Pa}{{\mathrm{\σ}}^2})f\left(a\right|H)da---\left(1\right)$

Calculate collect energy meansigma methods Q particularly as follows:

$Q(H,N_t,\stackrel{\‾}{A})=\mathrm{\θ}PH\frac{\mathrm{\Γ}(N_t+1,\frac{N_t\stackrel{\‾}{A}}{H})}{\mathrm{\Γ}(N_t+1)}---\left(2\right)$

Wherein a is integration variable.

Above-mentioned formula (17) and formula (18) are drawn by following derivation:

Signal of communication is utilized random wave bundle figuration technology to carry out precoding, in advance to sending signal by the transmitting terminal of radiofrequency signal Encoder matrix is carried out SVD decomposition (i.e. singular value decomposition) by channel matrix h and obtains.Send signal to be made up of some Resource Block, often Individual Resource Block is made up of some time slots, and the pre-coding matrix of kth time slot is Φ (k)=[Φ₁(k) Φ₂(k)…Φ_N(k)], N =N_tAntenna number for transmitting terminal.Pre-coding matrix should meetWherein I_NtFor unit matrix, andThe most each pre-coding matrix meets independent same distribution, wherein CN represents zero-mean Cyclic Symmetry Gauss distribution.Transmitting terminal can pass through control instruction, dedicated pilot checking or dedicated pilot Channel estimates to inform the occurrence h of receiving terminal channel matrix.

Can according to formula (1) calculate arbitrary time slot k receive signal normalization channel energy:

$A\left(k\right)=\frac{1}{N_t}\left|\right|a\left(k\right)|{|}^2---\left(3\right)$

Wherein, a (k)=Φ^T(k) h, k=1,2 ..., K, K are the total timeslot number in a Resource Block.

For kth time slot, according to A (k) value selective receiver pattern, wherein receiver mode includes energy receiver Pattern and intelligence receiver pattern, by adjusting predetermined threshold valueObtain ceiling capacity and collect the folding with information rate In.Wherein predetermined threshold valueCan be obtained by optimization function.

In receiver mode selection course, the indicator function of kth submodule model selection is arranged as shown in formula (2):

$\mathrm{\ρ}\left(k\right)=\left\{\begin{array}{cc}1,& A\left(k\right)\≤\stackrel{\‾}{A}\\ 0,& A\left(k\right)>\stackrel{\‾}{A}\end{array}\right.---\left(4\right)$

Wherein, A (k) is kth non-slotted channel energy,For predetermined threshold value.Owing to the sensitivity of energy receiver is remote Less than the sensitivity of intelligence receiver, therefore, what formula (2) represented is to carry out energy when receiving signal energy higher than threshold value to connect Receive, less than carrying out information reception during thresholding.

Receiving terminal receives signal and can be expressed as:

$y\left(k\right)=\sqrt{\mathrm{\θ}}Xa\left(k\right)+z\left(k\right)---\left(5\right)$

In formula (3), θ represents signal large scale fading coefficients, and X is for sending signal phasor, and y (k) is for receiving signal, and z (k) is White Gaussian noise.If transmitting signal power is P, σ²For noise power, L is precoding code length, and E () is computing of averaging, then: When ρ (k)=1, the maximum achievable rate of time slot k is represented by

$R\left(k\right)={\log }_2(1+\frac{\mathrm{\θ}PA\left(k\right)}{{\mathrm{\σ}}^2})---\left(6\right)$

When ρ (k)=0, the normalization of time slot k is collected energy and is

$Q\left(k\right)=\frac{1}{L}E\[\left|\right|\sqrt{\mathrm{\θ}}{X}^{T}a\left(k\right)|{|}^2\]=\mathrm{\θ}PA\left(k\right)---\left(7\right)$

Owing to a (k) is to obey independent identically distributed zero-mean and have the Gaussian random variable of common variance H, thereforeFor having the χ of n degree of freedom²Stochastic variable, according to χ²Distribution degree of freedom additivity obtains n=2N_t, σ²= H/2N_t.According to defining to obtain its probability density function (Probability of (H is a constant) under given channel gain H Density Function, PDF) be

$\begin{array}{c}f\left(a\right)=\frac{1}{2^{n/2}\mathrm{\Γ}\left(\frac{n}{2}\right){\mathrm{\σ}}^n}{a}^{\frac{n}{2}-1}{e}^{-\frac{a}{2{\mathrm{\σ}}^2}}\\ =\frac{1}{{(H/H_t)}^{N_t}\mathrm{\Γ}\left(N_t\right)}{a}^{N_t-1}{e}^{-\frac{N_{t}a}{H}}\end{array}---\left(8\right)$

Cumulative distribution function (Cumulative Distribution Function, CDF) is expressed as

$\begin{array}{c}F\left(a\right)={\∫}_{-\mathrm{\∞}}^{x}f\left(t\right)dt\\ =1-\frac{\mathrm{\Γ}(N_t,\frac{N_{t}a}{H})}{\mathrm{\Γ}\left(N_t\right)}\end{array}---\left(9\right)$

Wherein, Γ (x) is gamma function, is defined asIf timeslot number K → ∞, then according to χ²The meansigma methods collecting energy in each Resource Block can (the most averagely be received by the probability density function of distribution Collection energy value) and average achievable rate can be expressed as antenna number N_t, thresholdingAnd the function of channel gain H, i.e.WithRespectively as shown in formula (8) and (9).

$\begin{array}{c}R(H,N_t,\stackrel{\‾}{A})=E\[\mathrm{\ρ}\left(k\right){\log }_2(1+\frac{\mathrm{\θ}PA\left(k\right)}{{\mathrm{\σ}}^2})\]\\ ={\∫}_0^{\stackrel{\‾}{A}}{\log }_2(1+\frac{\mathrm{\θ}Pa}{{\mathrm{\σ}}^2})f\left(a\right|H)da\end{array}---\left(10\right)$

$\begin{array}{c}Q(H,N_t,\stackrel{\‾}{A})=\frac{1}{T}\underset{K\→\mathrm{\∞}}{\lim }\underset{k=1}{\overset{K}{\Σ}}(1-\mathrm{\ρ}(k\left)\right)\frac{T\·Q\left(k\right)}{K}\\ =E\[(1-\mathrm{\ρ}(k\left)\right)\mathrm{\θ}PA\left(k\right)\]\\ ={\∫}_{\stackrel{\‾}{A}}^{\mathrm{\∞}}\mathrm{\θ}Paf\left(a\right|H)da\\ =\mathrm{\θ}PH\frac{\mathrm{\Γ}(N_t+1,\frac{N_t\stackrel{\‾}{A}}{H})}{\mathrm{\Γ}(N_t+1)}\end{array}---\left(11\right)$

The average achievable rate that in thus can obtaining each Resource Block, average each time slot obtains with averagely collect energy.

Illustrate in conjunction with Fig. 2 below:

Information source is used random wave bundle figuration technology to be converted to chnnel coding by transmitting terminal Tx, sends out producing to have through ovennodulation Sending the precoding of signal phasor X, precoding is carried out singular value decomposition by channel matrix h and sends to receiving terminal, and receiving terminal obtains Receiving signal Y, wherein T is time slot, and obtains optimum gate limit value according to the method for reseptance of the present invention, judges according to optimum gate limit value Need to carry out energy acceptance or information receives, if information receives, then need the most demodulated and channel decoding process.

Other step and parameter are identical with detailed description of the invention one.

Detailed description of the invention three: present embodiment is unlike detailed description of the invention one or two: receiver can include Energy constraint type receiver and rate-constrained type receiver, when described receiver is energy constraint type receiver, described Optimum gate limit value is tried to achieve according to optimization functionParticularly as follows:

$\begin{array}{c}\underset{\stackrel{\‾}{A}}{\max }{\∫}_0^{\stackrel{\‾}{A}}{\log }_2(1+\frac{\mathrm{\θ}Pa}{{\mathrm{\σ}}^2})f\left(a\right)da\\ \begin{array}{cc}s.t.& \mathrm{\θ}PH\frac{\mathrm{\Γ}(N_t+1,\frac{N_t\stackrel{\‾}{A}}{H})}{\mathrm{\Γ}(N_t+1)}\≥q_{th}\end{array}\\ \stackrel{\‾}{A}\≤\max \left(A\right(k\left)\right)\end{array}---\left(12\right)$

Wherein q_thNormally working required minimum energy for described receiver, Γ is gamma function；

When described receiver is rate-constrained type receiver, " try to achieve optimum gate limit value according to optimization function" concrete For:

$\begin{array}{c}\underset{\stackrel{\‾}{A}}{\max }\left\{\mathrm{\θ}PH\frac{\mathrm{\Γ}(N_t+1,\frac{N_t\stackrel{\‾}{A}}{H})}{\mathrm{\Γ}(N_t+1)}\right\}\\ \begin{array}{cc}s.t.& {\∫}_0^{\stackrel{\‾}{A}}{\log }_2(1+\frac{\mathrm{\θ}Pa}{{\mathrm{\σ}}^2})f(H,N_t)da\≥{\mathrm{\γ}}_{th}\end{array}\\ \stackrel{\‾}{A}\≤\max \left(A\right(k\left)\right)\end{array}---\left(13\right)$

Wherein γ_thNormally work required minimum speed limit for receiver, and Γ is gamma function.

Other step and parameter are identical with detailed description of the invention one or two.

Detailed description of the invention four: present embodiment is unlike one of detailed description of the invention one to three: formula (19) Method for solving is two way classification iterative, and wherein the thresholding upper limit is max (A (k)), and the upper bound, solution interval initial value is described thresholding Upper limit max (A (k)), solution interval lower bound initial value is 0, is let according to the solving precision that system requirements are preset, and receives facility Specific system consumption energy value, described system consumption energy value is had to be aforesaid q_th.Two way classification iterative specifically includes Step A illustrates to step C, the algorithm flow chart specifically combining Fig. 3:

Step A: detect this upper bound, solution interval A_upWith lower bound A_downDifference whether less than or equal to solving precision let, The most then optimum gate is limited to the upper bound, solution interval A_up, if it is not, then by the threshold value of this iterationIt is entered as the upper bound, solution interval A_upWith lower bound A_downAverage；

Step B: calculate average collection energy value Q according to threshold value, if averagely collecting energy value more than system consumption energy Value q_th, then by the upper bound, solution interval A_upIt is entered as the threshold value of this iterationIf averagely collecting energy value less than system consumption Energy value q_th, then by solution interval lower bound A_downIt is entered as the threshold value of this iterationAnd perform step A, until solve district Between upper bound A_upWith lower bound A_downDifference less than or equal to solving precision let；

Step C: calculating meets the average collection energy value under the conditions of solving precision let and average achievable rate.

Said process carries out computing for energy constraint type receiver, in like manner, also has similar process for formula (20), Difference is, receiver is rate-constrained type receiver, by q_thIt is replaced into minimum speed limit required when receiver normally works γ_th, and relatively it is replaced into average achievable rate and γ by averagely collect energy value and system consumption energy value_thComparison.

Other step and parameter are identical with one of detailed description of the invention one to three.

Detailed description of the invention five: can elaborate in conjunction with Fig. 4.Present embodiment and detailed description of the invention one to four it Unlike one: carry out judging according to optimum gate limit value particularly as follows: carry out energy when receiving signal energy higher than optimum gate limit value Amount receives, and carries out information reception during less than optimum gate limit value.Flow chart in Fig. 4 corresponds to formula (2), it is judged that kth time slot Channel energy A (k) and threshold valueMagnitude relationship, ifI.e. ρ=1, then carry out information reception, ifI.e. ρ=0, then carry out energy acceptance.

Other step and parameter are identical with one of detailed description of the invention one to four.

Detailed description of the invention six: combine Fig. 5 and present embodiment is elaborated:

Fig. 5 is the contrast difference of cycle handoff algorithms of the prior art and thresholding handoff algorithms.Thresholding handoff algorithms is i.e. Signal of communication method of reseptance for the present invention.Figure cathetus is cycle handoff algorithms, and curve is thresholding handoff algorithms, then both hand over The right side of some c, for identical reception energy Q, the average achievable rate of the thresholding handoff algorithms of the present invention is higher；Similarly, For identical average achievable rate, the present invention to accept energy Q higher, therefore may determine that, the algorithm of the present invention is being handed over Between some c and intersection point a, the performance of part is better than prior art.The curve tangent line of thresholding handoff algorithms is threshold valueBy door Limit valueIt is designated as τ with the ratio of the slope of cycle handoff algorithms function, the calculation of the present invention can be judged by the increase of τ or reduction Method performance in actual applications.

Detailed description of the invention seven: combine Fig. 6 and Fig. 7 and present embodiment is elaborated:

Fig. 6 is the energy constraint type receiver contrast difference with rate-constrained type receiver of the method using the present invention Figure.Energy constraint type receiver is the receiver having minimum energy requirement when normal work, rate-constrained type receiver be The receiver of minimum speed limit requirement is had during normal work.It can be seen that optimum thresholding not only meets average collection energy Q ＞ Q_th, also make that all thresholdings meeting condition obtain average achievable rate the highest, shown in as upper in straight line (a) 3, represent Simulation result under same channel conditions.Similarly, for rate-constrained type receiver, shown in as upper in straight line (b) 3, contrast Thresholding 1 can not meet the system demand to information rate, although and to contrast thresholding 2 Mean Speed higher, but its collect average Energy is relatively low, and under majorized function is the background maximizing and collecting energy, obviously its performance is less better compared with optimum thresholding, thus Visible, optimum thresholding is meeting R ＞ R_thUnder the conditions of collect energy most.

Fig. 7 is the wireless schematic diagram taking energy signal of communication method of reseptance of the receiver based on time slot distribution of the present invention, Wherein Ptot represents the energy summation launching signal, and it can be by the signal energy phase of energy receiver and rate-constrained receiver Add and obtain, it is seen that when curve is higher than thresholdingTime be light areas, represent now carry out energy acceptance, when curve is low In thresholdingTime be darker regions, represent now carry out information reception.

Detailed description of the invention seven: present embodiment is unlike one of detailed description of the invention one to six, and the present invention also wraps Including a kind of receiver, described receiver includes that thresholding handover module, described thresholding handover module are used for controlling to switch energy acceptance Or information receives, the function of thresholding handover module is that method based on previous embodiment realizes.

Claims (6)

1. a wireless energy signal of communication method of reseptance of taking based on time slot distribution, described wireless taking can be passed through random by signal of communication Beamforming technique carries out precoding, and pre-coding matrix is carried out singular value decomposition by channel matrix h and obtains, and meets independent same Distribution, it is characterised in that said method comprising the steps of:

Step one: from receiving signal acquisition large scale fading coefficients θ, launching signal power P, noise power σ², channel gain H with And antenna number N_t, described reception signal carries energy and information, and wherein said channel gain H and described channel matrix h meets

Step 2: according to described large scale fading coefficients θ, launch signal power P, noise power σ², channel gain H, antenna number N_t Determine optimum gate limit valueRespectively about the average functional relation collecting energy value and average achievable rate value；

Step 3: determine optimization function according to described functional relation；

Step 4: try to achieve optimum gate limit value according to described optimization function

Step 5: judge according to described optimum gate limit value, and carry out energy according to judged result control energy acceptance parts Receive or control information receiving parts and carry out information reception.

Wireless taking based on time slot distribution the most according to claim 1 can signal of communication method of reseptance, it is characterised in that

Optimum gate limit value described in step 2About average achievable rate value functional relation particularly as follows:

$R(H,N_t,\stackrel{\‾}{A})={\∫}_0^{\stackrel{\‾}{A}}{\log }_2(1+\frac{\mathrm{\θ}Pa}{{\mathrm{\σ}}^2})f\left(a\right|H)da---\left(17\right)$

Wherein, a is integration variable；

Optimum gate limit value described in step 2About the average functional relation collecting energy value particularly as follows:

$Q(H,N_t,\stackrel{\‾}{A})=\mathrm{\θ}PH\frac{\mathrm{\Γ}(N_t+1,\frac{N_t\stackrel{\‾}{A}}{H})}{\mathrm{\Γ}(N_t+1)}---\left(18\right)$

The most according to claim 1 and 2 based on time slot distribution wireless take can signal of communication method of reseptance, described receiver Including energy constraint type receiver and rate-constrained type receiver, it is characterised in that

In step 4, when described receiver is energy constraint type receiver, described try to achieve optimum gate according to optimization function Limit valueParticularly as follows:

$\begin{array}{c}\underset{\stackrel{\‾}{A}}{\max }{\∫}_0^{\stackrel{\‾}{A}}{\log }_2(1+\frac{\mathrm{\θ}Pa}{{\mathrm{\σ}}^2})f\left(a\right)da\\ \begin{array}{cc}s.t.& \mathrm{\θ}PH\frac{\mathrm{\Γ}(N_t+1,\frac{N_t\stackrel{\‾}{A}}{H})}{\mathrm{\Γ}(N_t+1)}\≥q_{th}\end{array}\\ \stackrel{\‾}{A}\≤\max \left(A\right(k\left)\right)\end{array}---\left(19\right)$

Wherein q_thNormally working required minimum energy for described receiver, Γ is gamma function, and A (k) is kth time slot Channel energy；

In step 4, when described receiver is rate-constrained type receiver, described try to achieve optimum gate according to optimization function Limit valueParticularly as follows:

Wherein γ_thNormally work required minimum speed limit for described receiver.

Wireless taking based on time slot distribution the most according to claim 3 can signal of communication method of reseptance, it is characterised in that institute The method for solving stating formula (19) is two way classification iterative, and wherein the thresholding upper limit is max (A (k)), and the upper bound, solution interval is initial Value is for the described thresholding upper limit, and solution interval lower bound initial value is 0, is let according to the solving precision that system requirements are preset, described in connect Receiving facility has specific system consumption energy value, described two way classification iterative to specifically include following steps:

Step A: whether the difference detecting this upper bound, solution interval and lower bound is less than or equal to described solving precision let, the most then Optimum gate is limited to the upper bound, described solution interval, if it is not, then the threshold value of this iteration is entered as the upper bound, described solution interval with The average of lower bound；

Step B: calculate according to described threshold value and averagely collect energy value, if described average collection energy value disappears more than described system Power consumption value, then be entered as the threshold value of this iteration, if described average collection energy value is less than by the upper bound, described solution interval Described system consumption energy value, then be entered as described solution interval lower bound the threshold value of this iteration, and perform step A, directly It is less than or equal to described solving precision let to the upper bound of solution interval and the difference of lower bound；

Step C: calculating meets the average collection energy value under the conditions of described solving precision let and average achievable rate.

5. according to described in claim 1 or 4 based on time slot distribution wireless take can signal of communication method of reseptance, its feature exists In, carry out judging according to optimum gate limit value described in step 5 particularly as follows: enter when receiving signal energy higher than optimum gate limit value Row energy acceptance, carries out information reception during less than optimum gate limit value.

6. a receiver, it is characterised in that described receiver includes that thresholding handover module, described thresholding handover module are used for controlling System switching energy acceptance or information receive, the function of thresholding handover module be based on as in claim 1 to 5 either method come in fact Existing.