CN108600997B - Large-scale D2D communication method based on HARQ auxiliary NOMA - Google Patents

Large-scale D2D communication method based on HARQ auxiliary NOMA Download PDF

Info

Publication number
CN108600997B
CN108600997B CN201810286303.2A CN201810286303A CN108600997B CN 108600997 B CN108600997 B CN 108600997B CN 201810286303 A CN201810286303 A CN 201810286303A CN 108600997 B CN108600997 B CN 108600997B
Authority
CN
China
Prior art keywords
user
probability
users
information
harq
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201810286303.2A
Other languages
Chinese (zh)
Other versions
CN108600997A (en
Inventor
施政
杨光华
陈德举
马少丹
屈挺
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jinan University
Original Assignee
Jinan University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Jinan University filed Critical Jinan University
Priority to CN201810286303.2A priority Critical patent/CN108600997B/en
Publication of CN108600997A publication Critical patent/CN108600997A/en
Priority to AU2018102043A priority patent/AU2018102043A4/en
Application granted granted Critical
Publication of CN108600997B publication Critical patent/CN108600997B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/70—Services for machine-to-machine communication [M2M] or machine type communication [MTC]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/12—Arrangements for detecting or preventing errors in the information received by using return channel
    • H04L1/16—Arrangements for detecting or preventing errors in the information received by using return channel in which the return channel carries supervisory signals, e.g. repetition request signals
    • H04L1/18—Automatic repetition systems, e.g. Van Duuren systems
    • H04L1/1812—Hybrid protocols; Hybrid automatic repeat request [HARQ]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04—TPC
    • H04W52/18—TPC being performed according to specific parameters
    • H04W52/24—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
    • H04W52/243—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account interferences
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H04W72/0453—Resources in frequency domain, e.g. a carrier in FDMA

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention discloses a large-scale D2D communication method based on HARQ auxiliary NOMA, which comprises the steps of firstly analyzing the influence of superposition interference in a large-scale D2D network on interruption probability by using a random geometric method, and then deducing a specific expression of spectral efficiency by using the relation between the interruption probability and the spectral efficiency; and finally, constructing an optimization problem of resource allocation based on the theoretical analysis results: by reasonably setting the information transmission rates of different D2D users and even occupying the distribution density of the same time-frequency resource D2D terminals, the spectrum efficiency (throughput or space spectrum utilization rate) is maximized and the communication reliability is ensured. Simulation and numerical results show that the interruption probability of the cooperative mode application scheme provided by the invention is reduced by 23% compared with that of a non-cooperative mode, and in addition, the spectrum efficiency of the application of a non-orthogonal multiple access technology is improved by 17% compared with that of the application of an orthogonal multiple access technology.

Description

Large-scale D2D communication method based on HARQ auxiliary NOMA
Technical Field
The invention relates to the technical field of wireless communication, in particular to a large-scale D2D communication method based on HARQ auxiliary NOMA.
Background
According to a white-skin document ITU-R M.2083-0 published by the International Union of telecommunication, the target of a next generation mobile cellular network (5G) is to enhance mobile broadband services, provide wireless links supporting a large number of terminals for a future Internet of things mode, and ensure communication service with ultra-reliability and low time delay. Support a large number of machine-form connections in the internet of things, and provide ultra-reliable and low-latency communication for certain services. These new requirements present unprecedented challenges to traditional Orthogonal Multiple Access (OMA) based approaches and base station centric communications. Therefore, 3GPP considers more greedy high spectrum utilization schemes, such as D2D communication and non-orthogonal multiple access technology (NOMA), to support a large number of connections. Although the D2D communication will increase the interference level of the original network, the D2D can still significantly improve the spatial spectrum utilization of the whole communication system due to the performance advantages of low power consumption and short-range direct communication. The NOMA technology provides services for a plurality of users simultaneously by using the same time-frequency resources, and compared with the traditional mode, the NOMA technology can significantly improve the spectrum utilization rate, and the core of the NOMA technology is to provide multi-user diversity by using two technologies of Superposition Coding (SC) and Successive Interference Cancellation (SIC), thereby effectively improving the spectrum utilization rate. Furthermore, NOMA techniques may achieve a very good balance between system throughput and user fairness by allocating more transmit power to users with poor channel conditions.
In order to further provide spectrum utilization, the present invention applies the NOMA technology to D2D communication, but when D2D communication is applied in a large scale, a very fatal technical bottleneck is encountered, that is, a contradiction between limited spectrum resources and excessive spectrum reuse occurs, so that strong network superposition interference exists in the terminal device, and finally, the receiver receiving performance is drastically reduced, such as the spectrum efficiency is reduced and the interruption probability is increased. However, when a great deal of research work is done in the discussion of large-scale D2D networks, how to improve the negative effect of strong network superposition interference is not considered. In order to ensure the reliability of transmission and further improve the spectrum efficiency, the invention combines the hybrid automatic repeat request (HARQ) technology to improve the reliability of transmission, and it is noted that the HARQ is a technology for effectively ensuring the reliability of transmission, and its technical core is the retransmission mechanism and forward error correction coding and decoding. In addition, when the HARQ technology is applied, the sending device is not required to know perfect instantaneous channel state information, and only needs to know partial channel state information or some statistical characteristics of the channel, which can effectively reduce frequent channel measurement and instantaneous snr report feedback, thereby greatly reducing system signaling overhead, which in turn makes it possible to apply D2D communication in a large-scale network. Because the simultaneous application of the NOMA technology and the HARQ scheme also prompts the invention to further improve the reliability of transmission through cooperative communication, because each receiving end receives the superposition coded signal, the superposition signal contains the information of all users, and therefore, the user who succeeds in decoding first can be used as a relay to forward the information of other users which have already been decoded to the users. Based on these considerations, it is highly desirable to propose an application scheme of the non-orthogonal multiple access technology in combination with cooperative hybrid automatic repeat request in the large-scale D2D network.
Disclosure of Invention
The application of the large-scale D2D communication is to share the load of the conventional mobile cellular network with the base station as the control center, however, due to the contradiction between the limited spectrum resources and the excessive frequency reuse, when the large-scale application of the D2D communication is performed, strong network superposition interference exists between the terminal D2D devices, and finally, the receiver receiving performance is sharply reduced, such as the spectrum efficiency is reduced and the interruption probability is increased. The present invention is directed to solve the above-mentioned drawbacks of the prior art, and provides a large-scale D2D communication method based on HARQ assisted NOMA, aiming to improve spectrum efficiency and reduce outage probability.
The purpose of the invention can be achieved by adopting the following technical scheme:
in order to reduce interference from the base station, the present invention assumes that the D2D transmitting device operates in an overlay mode, i.e., the base station and the D2D device use orthogonal spectrum resources. While assuming that all D2D transmitting devices obey the Homogeneous Poisson Point Process (HPPP), this is a very reasonable assumption whose validity has been verified by a number of experimental measurements. In addition, in order to reduce the requirement of hardware complexity, limit the interference level, and guarantee the requirements of low delay, the invention only considers the direct communication between the sending device and two D2D users, and simultaneously utilizes the NOMA technology in combination with the cooperative HARQ scheme to improve the spectrum efficiency and the interruption probability in the large-scale D2D communication application, and the performance improvement needs to be established on the basis of reasonable modulation and coding selection and optimized resource configuration, and the system model is as shown in fig. 1. The specific technical scheme implementation steps are shown in fig. 2 and comprise seven steps, and the details of each step are as follows:
s1, design of application scheme
In an application scheme based on non-orthogonal multiple access technology (NOMA) combined with cooperative hybrid automatic repeat request (HARQ), a transmitting device first transmits information s to be transmitted to two users according to the HARQ1And s2Respectively generating corresponding code words by forward error correction coding, and then adopting a non-orthogonal multiple access technology supporting multi-user simultaneous transmission to send information to D2D users by superposition coding
Figure GDA0002521908330000031
Wherein β is the power allocation factor, in order to make more reasonable use of the non-orthogonal multiple access technique, the channel difference between D2D users is needed to improve the spectrum utilization, therefore, the decoding order is required to be determined according to the path loss of two users, and the path loss model can be expressed as
Figure GDA0002521908330000032
Wherein
Figure GDA0002521908330000033
It is assumed here that D2D user 1 is closer to the transmitting device than user 2, and the distances between them are respectively defined as D1And d2And d is1＜d2. According to the non-orthogonal multiple access technology, a user 1 firstly decodes information of a user 2, then adopts an interference elimination technology to eliminate interference of the user 2, and then decodes the information of the user 1; and the user 2 directly decodes the information of the user without adopting an interference elimination technology. Once decoding failure occurs for any one user, the D2D user will feed back a NACK signal to the transmitting device, requesting the transmitting end to retransmit the information until two users failThe decoding of each user is successful or the maximum allowed number of transmissions K is reached.
S2, representing the spectrum efficiency as an interruption probability function
The two most important performance indicators of the spectrum efficiency are throughput η and spatial spectrum efficiency Δ, the former measures the spectrum efficiency of transmitting a piece of information, and the latter measures the spectrum efficiency of the whole network, and the relationship between the two is Δ ═ λ η, where λ is the distribution density of D2D users occupying the same time-frequency resource. It can be seen that throughput is a performance measure that is crucial to measuring spectral efficiency. According to the update process theory, the throughput η can be expressed as
Figure GDA0002521908330000041
The symbols in the formula have the following meanings:
Ri: indicating the preset information transmission rate of the D2D user i;
Figure GDA0002521908330000042
representing the probability of interruption of D2D user i after K transmissions;
Figure GDA0002521908330000043
indicating the probability of two D2D users breaking after k transmissions.
S3, decomposition of interruption probability
As described above, the spectrum efficiency is finally expressed as a function of many interruption probabilities, which are also the most critical evaluation indicators in the performance analysis. Therefore, the probability of interruption is calculated by the total probability formula
Figure GDA0002521908330000044
And
Figure GDA0002521908330000045
expressed as:
Figure GDA0002521908330000046
Figure GDA0002521908330000047
Figure GDA0002521908330000048
the symbols in the formula have the following meanings:
Figure GDA0002521908330000051
representing the probability of an event occurring;
Figure GDA0002521908330000052
user 1 successfully decodes signal s after l transmissionsiThe event of (2);
Figure GDA0002521908330000053
union set
Figure GDA0002521908330000054
Complementary set of (i.e. user 1 still cannot decode the information s after K transmissionsi；
Θo2,k: after k transmissions, the user 2 successfully decodes the event of its own message;
Figure GDA0002521908330000055
union set
Figure GDA0002521908330000056
The complementary set of (2), i.e. user 2, cannot recover its own information after K transmissions.
S4, accurate calculation of interruption probability by using random geometry
In order to deduce the probability in step S2
Figure GDA0002521908330000057
Figure GDA0002521908330000058
And
Figure GDA0002521908330000059
theoretical analysis is here performed by shannon's theorem from an information theory perspective. In addition, the distribution of the interference D2D users is accurately simulated through a two-dimensional Homogeneous Poisson Point Process (HPPP), and specific expressions of the probabilities are deduced by using correlation theory in random geometry, as follows:
Figure GDA00025219083300000510
Figure GDA00025219083300000511
Figure GDA0002521908330000061
Figure GDA0002521908330000062
Figure GDA0002521908330000063
the symbols in the formula have the following meanings:
τa＝(τ1+1,τ2,τ3),τb＝(τ1,τ2+1,τ3),τc＝(τ1+1,τ2),τd＝(τ1,τ2+1),τe＝(τ3,τ4),τf＝(τ1+1,τ2+1),τg＝(τ1,τ2+2),
Figure GDA0002521908330000064
Figure GDA0002521908330000065
the function Ψ (U, τ; V, upsilon) is defined as
Figure GDA0002521908330000066
Where U is (U)1,…,UN)，τ＝(τ1,…,τN)，V＝(V1,…,VM)，υ＝(υ1,…,υM)，
Figure GDA0002521908330000067
Expressed in the form of double integral
Figure GDA0002521908330000068
S5, approximate calculation of interruption probability under precondition of short-distance communication
As described in step S4, all probability calculations finally need to calculate the corresponding Ψ (U, τ; V, ν) functions, however, in the calculation process, a double integral Ψ (U, τ; V, ν) with high calculation complexity is involved, and it is necessary to provide an approximate calculation method in order to reduce the calculation complexity and facilitate the later optimization design. This assumption is reasonable considering that the distance D between D2D users is generally relatively close, and due to cooperative communication. Let D ≈ 0, the double integral Ψ (U, τ; V, upsilon) may be approximated as
Figure GDA0002521908330000071
Wherein W is (U, V) or (W)1,…,WN+M)，ω＝(τ,υ)＝(ω1,…,ωN+M)，sA dirichlet function is defined which,
Figure GDA0002521908330000076
a fourth class of Laureicella functions is defined, and B (a, B) defines a Beta function. If N + M is 1, the above approximation will beBecomes an equation. The result of the approximation is not only low in computational complexity, but also shows very good approximation performance in numerical analysis.
S6, maximizing the spectrum efficiency, and reasonably selecting the information transmission rate R of the user1And R2To maximize throughputηWhile ensuring reliability of service, the mathematical form of the optimization problem is expressed as
Figure GDA0002521908330000072
Figure GDA0002521908330000073
Figure GDA0002521908330000074
The symbols in the formula have the following meanings:
i: representing the maximum allowed outage probability for user i of D2D,
Figure GDA0002521908330000075
indicating the probability of user i having an interruption after the kth transmission,
β2: indicating a pre-set power allocation factor,
the optimization problem can be solved by utilizing an interior point method. In addition, in order to further optimize the distribution density of D2D users, the service quality can be simultaneously guaranteed by maximizing the spatial spectrum utilization Δ, so the mathematical form of the optimization problem is as follows
Figure GDA0002521908330000081
Figure GDA0002521908330000082
Figure GDA0002521908330000083
λ＞0,
The symbols in the formula have the following meanings:
λ: indicating the distribution density of the interfering users,
i: representing the maximum allowed outage probability for user i of D2D,
Figure GDA0002521908330000084
indicating the probability of user i having an interruption after the kth transmission,
β2: representing a preset power allocation factor.
S7, setting of modulation mode and coding scheme and radio resource allocation
Transmission rate R obtained by optimization1 *And R2 *And D2D user distribution density λ*The radio resource is configured by the value, which is as follows: by optimised transmission rate R1 *And R2 *Setting a reasonable modulation mode and a coding scheme at a transmitting end; by optimum lambda*And guiding wireless resource allocation, and performing spectrum reuse rate configuration on the result spectrum resource.
Compared with the prior art, the invention has the following advantages and effects:
simulation and numerical results show that the interruption probability of the cooperative mode application scheme provided by the invention is reduced by 23% compared with that of a non-cooperative mode, and in addition, the spectrum efficiency of the application of a non-orthogonal multiple access technology is improved by 17% compared with that of the application of an orthogonal multiple access technology. When the method is applied to a large-scale D2D network, the method provides very meaningful application guidance and reference values for the setting of the modulation mode and the coding scheme of the D2D terminal and the resource allocation of the whole network.
Drawings
FIG. 1 is an application model of the communication method disclosed in the present invention;
fig. 2 is a flowchart illustrating implementation steps of a large-scale D2D communication method based on HARQ assisted NOMA according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Examples
Non-orthogonal multiple access (NOMA) is an important technology for next generation mobile communications, for example, a transmission technology that employs NOMA's multi-user superposition transmission as a downlink of LTE-a has been proposed to the 3GPP organization. In these scenarios, some D2D users may act as relays to assist the base station in forwarding messages, thereby extending the coverage of the wireless network. Furthermore, to mitigate severe interference from base stations, we assume that the D2D network operates in overlay mode, in which the D2D network uses dedicated spectrum resources for communication. In the D2D network, the positions of all D2D devices are randomly distributed, and a widely adopted modeling mode is adopted, namely, all D2D transmitting devices occupying the same time-frequency resource are assumed to be subject to the homogeneous poisson point process
Figure GDA0002521908330000091
(HPPP), the intensity of which is defined as λ. All D2D devices were equipped with backlog buffers and transmitted over a shared frequency channel dedicated to D2D communications. Without loss of generality, the present embodiment focuses on one transmitting device communicating with its neighboring two D2D users by combining NOMA and cooperative HARQ, as shown in fig. 1. It is assumed here that only two D2D receiving terminals are based on the following considerations: the assumption of limiting the level of interference between multiple users, reducing hardware costs and meeting low latency processing is also widely adopted in research and practical applications.
Let z be the location of the sending device and define the sending device and the user i (at location o)iOf a user) is di＝||z-oiI | represents, where i ∈ {1,2 }. suppose the location of user 1 is o1Position of user 2 is o and ═ 0,02Because of the stationarity of PPP, (D,0) this assumption does not affect the results of the analysis. Unlike conventional Time Division Multiple Access (TDMA), the core idea of NOMA is to exploit the differences between fading channels, so to avoid loss of generality, user 1 is here specified to be closer to the transmitting device than user 2, i.e. d1＜d2. Note that HARQ can effectively combat channel uncertainty and measurement errors for reliable transmission, so the proposed NOMA scheme in combination with cooperative HARQ does not need to know perfect instantaneous channel state information. For this reason, the NOMA user information decoding order is based on the magnitude of their average fading gains (path losses). It should be noted that the average channel gain/path loss does not typically change rapidly or drastically in a short time compared to small scale fading, and therefore does not require frequent channel measurements and instantaneous snr reporting. Considering that the transmission distance determines the average fading gain/path loss, the decoding order of two NOMA users is determined according to their distance from the transmitting device. For ease of illustration, the proposed scheme can be divided into two phases during application. In a first phase, the transmitting device uses superposition coding for the signal s to be transmitted to the users 1 and 21And s2Power domain multiplexing is performed. Based on the received superposition coded information, user 1, which is closer to the transmitting device, first decodes user 2's information s2(this is because more transmit power is allocated to user 2's information, so s is transmitted2The signal-to-noise ratio of the information tends to be large, and therefore s is successfully decoded2Is more likely) and the information s of the user 22Information s actually for user 11An interference is formed and is therefore referred to hereinafter as a NOMA interference. Once s has occurred2Being successfully decoded, user 1 can first cancel the interfering signal s in the current and subsequent transmissions using interference cancellation techniques2And further decode the self information s1. Unlike user 1, user 2, who is further away, sends signal s directly1Viewed as noiseAnd directly decode s2. The superposition message is repeatedly sent until user 1 or 2 acknowledges successful reception or the maximum number of retransmissions K is reached. If only any one of the users confirms successful reception of the information, the second phase begins, in which the transmitting device transmits only user signals that were not successfully received. It should be emphasized that when user 1 confirms successful decoding of the information, it will assist the transmitting device as a relay device to transmit signal s2And forwarded to user 2. When both users 1 and 2 confirm successful reception of the information, the transmitting device will take the next set of information from the transmission queue and transmit it by the same operation as described above. If the maximum number of transmissions K is reached and the expected information is not successfully decoded, the transmitting end deletes the set of signals from the transmit queue and declares an interruption in the transmission of the information. For simplicity, it is assumed that the feedback channel is error-free and delay-free, which can be evidenced by low transmission rates and short acknowledgement messages.
A. Signal transmission model
The channel is assumed to be subject to rayleigh block fading (i.e., the channel impulse response coefficients remain unchanged during each round of HARQ transmission) and to have statistical knowledge of the channel state information at the transmitting device. In addition, the channel gain of each transmission process is assumed to be random variables which are independent and distributed, the position of an interference source does not change greatly in a short time interval, and the assumption is very reasonable especially for the interference source with medium and low speed mobility. Therefore, a static interferer model is used here, i.e. the approximation that the source of the interferer is fixed during the HARQ transmission process is very reasonable, since HARQ has a limited maximum number of transmissions in practical applications, e.g. the maximum number of transmissions is usually selected to be 5, and the time interval for each round of HARQ is about 8 ms. The signal received by the NOMA user during the different transmission phases may be represented in the following form.
1) Stage I: in the k-th round HARQ transmission, the signal received by user i can be expressed as
Figure GDA0002521908330000111
Wherein P tableDenotes the transmitted power, β denotes the power distribution coefficient, siIs the information sent to user i and follows a gaussian distribution of unit variance. siAt the transmitting device, independent coding and modulation are firstly carried out, and then power domain multiplexing is carried out to fix the transmission rate
Figure GDA0002521908330000112
Transmitting information to user i, wherein biIs the signal siL defines the signal siNumber of symbols contained, sx,kRepresents the signal coming from the k-th transmission of the interferer, and obeys a gaussian distribution of unit variance,
Figure GDA0002521908330000113
representative of path loss, α denotes the path loss exponent, where
Figure GDA0002521908330000114
Represents the path loss per unit distance reference, the magnitude of which depends on the carrier frequency and antenna characteristics, x ∈ Φ \ z represents the set of interferers, ni,kDenotes zero mean and variance as σ2Complex Additive White Gaussian Noise (AWGN), i.e.
Figure GDA0002521908330000115
Figure GDA0002521908330000121
Represents the channel coefficients from interfering device x to user i during the kth round of HARQ transmission;
Figure GDA0002521908330000122
and
Figure GDA0002521908330000123
all obey a complex gaussian distribution with a mean of zero and a variance of 1, i.e.
Figure GDA0002521908330000124
According to the NOMA transmission protocol, after receiving the superposition coded signal, both user 1 and user 2 first decode user 2's information with a signal to interference plus noise ratio of
Figure GDA0002521908330000125
Wherein Ii,kRepresents the total interference received by the user i to the interference source set phi \ z, and the mathematical form can be expressed as
Figure GDA0002521908330000126
When user 1 successfully decodes user 2 message s2 User 1 will recover the own signal s using interference cancellation techniques1After the NOMA interference signal of user 2 is eliminated, the obtained target is s1Has a signal to interference and noise ratio of
Figure GDA0002521908330000127
2) Stage II: according to the proposed scheme, if s2If the decoding is successful before the k-th HARQ transmission, the signal received by user 1 in the k-th HARQ can be expressed as
Figure GDA0002521908330000128
s1Corresponding to a signal to interference and noise ratio of
Figure GDA0002521908330000129
On the contrary, if s1Successfully decoded before the k-th round of HARQ transmission, then in the k-th round of HARQ transmission, user 1 will assist the sending device to relay the information of user 2, and the signal received by user 2 is expressed as
Figure GDA0002521908330000131
Wherein the content of the first and second substances,
Figure GDA0002521908330000132
representing the channel coefficients between two users in the k-th transmission. Similar to (6), user 2 has a received signal to interference and noise ratio of
Figure GDA0002521908330000133
Wherein the content of the first and second substances,
Figure GDA0002521908330000134
representing the equivalent channel coefficient of the kth transmission and obeying a complex Gaussian distribution of zero mean and unit variance, i.e.
Figure GDA0002521908330000135
And
Figure GDA0002521908330000136
representing the equivalent path loss.
Based on these signal transmission models, a specific spectral efficiency (throughput and spatial spectral efficiency) analysis and outage probability analysis are next performed.
B. Average throughput and outage probability analysis
Long Term Average Throughput (LTAT) is a commonly used performance indicator to evaluate the throughput of HARQ systems. For convenience, t is defined herein as the number of slots used,
Figure GDA0002521908330000137
the number of total information bits to send to user i and accumulated up to time t, so LTAT can be expressed as
Figure GDA0002521908330000138
Wherein
Figure GDA0002521908330000139
Indicating information bits successfully decoded by user i within a unit time of a unit bandwidth. By usingThe event that user i stops the transmission of the current message is considered a recurring event. The occurrence of this recurring event is accompanied by a random reward being earned for both users
Figure GDA00025219083300001310
And
Figure GDA00025219083300001311
thus, with the update reward theorem, the LTAT of the proposed solution can be further written as
Figure GDA00025219083300001312
Wherein
Figure GDA0002521908330000141
Representing the random transmission number (update interval time) between two consecutive retransmission events. Thus, if user i successfully recovers its own message, then
Figure GDA0002521908330000142
Otherwise
Figure GDA0002521908330000143
Then there are
Figure GDA0002521908330000144
Figure GDA0002521908330000145
Indicating the outage probability after k rounds of HARQ transmission for user i. In addition to this, the present invention is,
Figure GDA0002521908330000146
is a discrete random variable with a sample space of {1,2, …, K } and obeying a probability distribution of
Figure GDA0002521908330000147
Wherein the content of the first and second substances,
Figure GDA0002521908330000148
the probability that the user 1 or the user 2 still has interruption after k times of transmission is shown, and the probability can be obtained by utilizing the principle of repulsion and capacitance
Figure GDA0002521908330000149
Wherein
Figure GDA00025219083300001410
Indicating the probability that two users cannot decode their own information after the k round HARQ transmission. Therefore, by using (12) and (13), it can be deduced
Figure GDA00025219083300001411
Is composed of
Figure GDA00025219083300001412
Therefore, substituting (11) and (14) into (10) results in
Figure GDA00025219083300001413
LTAT is therefore expressed as a function of outage probability, and it can be seen that outage probability is the most basic performance indicator. It should be noted, however, that the expression of the probability of interruption depends on the specific proposed application. Thus, cooperative HARQ combined with NOMA scheme determines outage probability
Figure GDA00025219083300001414
And
Figure GDA00025219083300001415
an explicit expression of (2). For the purpose of continuing the analysis, their expressions are respectively derived as follows:
b.1 outage probability
Figure GDA00025219083300001416
According to the preceding system model, s1Depending on the successful decoding and cancellation of the NOMA interference s by user 12The number of transmissions consumed and, due to cooperative communication, its performance also depends on the number of transmissions experienced by the user 2 for successful decoding. To facilitate subsequent analysis, the following events are defined:
Figure GDA0002521908330000151
user 1 successfully decodes signal s after l transmissionsiThe event of (2);
Figure GDA0002521908330000152
union set
Figure GDA0002521908330000153
Complementary set of (i.e. user 1 still cannot decode the information s after K transmissionsi；
Figure GDA0002521908330000154
After k transmissions, the user 2 successfully decodes the event of its own message;
Figure GDA0002521908330000155
union set
Figure GDA0002521908330000156
The complementary set of (2), i.e. user 2, cannot recover its own information after K transmissions.
Based on the above definition, the outage probability of user 1
Figure GDA00025219083300001518
Can be obtained by using a total probability formula
Figure GDA0002521908330000157
In view of
Figure GDA0002521908330000158
And
Figure GDA0002521908330000159
is a mutually exclusive event that, similarly,
Figure GDA00025219083300001510
and
Figure GDA00025219083300001511
are also mutually exclusive events. In addition, if l > k,
Figure GDA00025219083300001512
and
Figure GDA00025219083300001513
is also a mutual exclusion event because the transmitting device only transmits s after receiving the ACK signal fed back by the user 21After which the user 1 no longer needs to use interference cancellation techniques during transmission. Therefore, the temperature of the molten metal is controlled,
Figure GDA00025219083300001514
can be expressed as
Figure GDA00025219083300001515
All terms to the right of equation (17) etc. are derived one by one as follows:
1)
Figure GDA00025219083300001516
from the point of view of information theory, when the mutual information amount is smaller than the transmission rate, an interrupt event occurs. Here, the
Figure GDA00025219083300001517
Indicating that user 1 successfully decoded s after a given user 1 transmitted through l times2And uses SIC to cancel NOMA interference and user 2 decodes s2The outage probability of k HARQ rounds is consumed. It is considered that in this case the strip must be satisfiedK is less than or equal to l, according to the signal model,
Figure GDA0002521908330000161
can be expressed as
Figure GDA0002521908330000162
Wherein the content of the first and second substances,
Figure GDA0002521908330000163
representing the amount of information for a given signal to interference and noise ratio gamma. Using random geometry, (18) can be written as a closed form
Figure GDA0002521908330000164
Wherein the content of the first and second substances,
Figure GDA0002521908330000165
τa＝(τ1+1,τ2,τ3) And τb＝(τ1,τ2+1,τ3) It has to be pointed out here that the user 1 is able to cancel the NOMA interference s2Must satisfy the conditions
Figure GDA0002521908330000166
In addition to this, the present invention is,
Figure GDA0002521908330000167
the function is defined as follows
Figure GDA0002521908330000168
Wherein U ═ U (U)1,U2,...,UN)，τ＝(τ1,...,τN)，V＝(V1,…,VM)，υ＝(υ1,…,υM) And
Figure GDA0002521908330000169
2)
Figure GDA00025219083300001610
once user 2 successfully decodes s after k HARQ rounds2The transmitting device will transmit only s in subsequent retransmissions1User 2 does not need to decode directly by interference cancellation techniques when decoding. Therefore, the temperature of the molten metal is controlled,
Figure GDA00025219083300001611
can be expressed as
Figure GDA0002521908330000171
Likewise, (22) can be derived
Figure GDA0002521908330000172
3)
Figure GDA0002521908330000173
After l rounds of HARQ transmission, user 1 successfully decodes s2This means that user 1 can completely cancel NOMA interference to decode s in the current and subsequent HARQ rounds1This way, the outage probability can be improved effectively. Therefore, the temperature of the molten metal is controlled,
Figure GDA0002521908330000174
can be written as
Figure GDA0002521908330000175
Similarly, it can be obtained from (24)
Figure GDA0002521908330000176
Wherein tau isc＝(τ1+1,τ2)，τd＝(τ1,τ2+1) and
Figure GDA0002521908330000177
4)
Figure GDA0002521908330000178
after K transmissions, if user 1 cannot eliminate NOMA interference and user 2 cannot decode its own information, user 1 will be interrupted inevitably, and the interruption probability can be written as
Figure GDA0002521908330000181
Therefore, the temperature of the molten metal is controlled,
Figure GDA0002521908330000182
can be finally deduced as
Figure GDA0002521908330000183
B.2 probability of interruption oK,o2
Similar to (17), according to the total probability formula, the probability of interruption of the reception of information by the user 2 is
Figure GDA0002521908330000184
Wherein the above formula holds true when k < l
Figure GDA0002521908330000185
And is
Figure GDA0002521908330000186
Due to the fact that
Figure GDA0002521908330000187
And
Figure GDA0002521908330000188
it has been deduced in the foregoing. Therefore, the remaining term is derived next
Figure GDA0002521908330000189
The specific expression of (1).
Suppose user 1 successfully decodes s in the l-th round HARQ2And successfully decode s in the k round HARQ1Wherein k is more than or equal to l. In the following transmission s has been successfully decoded since user 12It is clear that user 1 can assist the sending device to deliver the message as a relay to user 2. In this case, the outage probability of user 2 after K rounds of HARQ transmission
Figure GDA00025219083300001810
The derivation needs to be done in two cases. First, when k is l, user 1 cancellation of NOMA interference and decoding of self information occurs in the same round of HARQ transmission, and s is decoded on the same round of HARQ1. Therefore, the temperature of the molten metal is controlled,
Figure GDA00025219083300001811
can be deduced as
Figure GDA0002521908330000191
Then applying random geometry to obtain
Figure GDA0002521908330000192
On the other hand, if k > l, i.e., user 1 successfully cancels the NOMA interference event and decodes self information occurs in two different HARQ rounds, then
Figure GDA0002521908330000193
Can be expressed as
Figure GDA0002521908330000194
Therefore, the temperature of the molten metal is controlled,
Figure GDA0002521908330000195
can be expressed as
Figure GDA0002521908330000196
Wherein tau ise＝(τ3,τ4)，τf＝(τ1+1,τ2+1)，τe＝(τ3,τ4)，τf＝(τ1+1,τ2+1)，τg＝(τ1,τ2+2)，
Figure GDA0002521908330000197
B.3 outage probability
Figure GDA0002521908330000198
Similar to (17) and (28), according to the total probability formula,
Figure GDA0002521908330000199
can be derived into
Figure GDA0002521908330000201
Wherein
Figure GDA0002521908330000202
And
Figure GDA0002521908330000203
these two expressions have been given in (25) and (27), respectively. Therefore, probability of interruption
Figure GDA0002521908330000204
And
Figure GDA0002521908330000205
can be calculated by (17), (28) and (33), respectively. Substituting equation (15) may result in the LTAT of the proposed scheme. In order to calculate the outage probability, it must be obtained by calculating the double integral Ψ (U, τ; V, ν) in equation (21). However, in the formula (21)The double integration of (a) is very complex in computation, and therefore it is very necessary to provide an algorithm with lower computational complexity. Because of the need for cooperative communication, NOMA users are typically very short distance from each other, and the calculation of Ψ (U, τ; V, ν) can be simplified by the following theorem.
Theorem 1: at short distance D → 0, Ψ (U, τ; V, υ) can be approximated as
Figure GDA0002521908330000206
W＝(U,V)＝(W1,…,WN+M)，ω＝(τ,υ)＝(ω1,…,ωN+M)，sA dirichlet function is defined which,
Figure GDA0002521908330000207
a fourth class of Laureicella functions is defined, and B (a, B) defines a Beta function. If N + M is 1, the above approximation will become an equation. The result of the approximation is not only low in computational complexity, but also shows very good approximation performance in numerical analysis.
According to the theoretical analysis of throughput and interruption probability, how to apply the results to carry out the optimization design of an application scheme is specifically analyzed, so that the throughput or the space spectrum utilization rate of the system is effectively improved.
C. Spectrum efficiency optimization
There are two key performance indexes for measuring the spectrum efficiency, i.e. throughput η and spatial spectrum efficiency Δ, the former measures the spectrum efficiency of transmitting a piece of information, and the latter measures the spectrum efficiency of the whole network, and the relationship between the two is Δ ═ λ η, where λ is the distribution density of D2D users occupying the same time-frequency resource.
C.1 throughput maximization
The increase in the number of HARQ allowed maximum transmissions may reduce the system throughput LTAT. In order to overcome the negative effect of co-channel interference and fully utilize the advantages of cooperative HARQ, an interference-aware optimization design scheme is proposed. In particular, by appropriately selecting system parameters while maintaining quality of service, LTAT is maximized. To optimize transmissionRate of transmission selection for example, to limit outage probability while achieving NOMA transmission, and given power allocation coefficient β2The LTAT is maximized by optimally selecting the transmission rate. The mathematical form of the optimization problem can be expressed as
Figure GDA0002521908330000211
WhereiniRepresenting the maximum allowed outage probability for user i. It is worth mentioning that (35) due to the complexity of the interrupt probability expression and the non-convexity of the problem, it is difficult to solve the closed form optimization solution. However, numerical solutions by the interior point method can yield sub-optimal solutions.
C.2 spatial spectral efficiency maximization
Besides LTAT, space spectrum utilization (ASE) is another important performance index to measure the spectrum efficiency of the whole D2D network, and the specific expression is
Δ＝λη. (36)
Inspired by formula (35), in order to further optimize the distribution density of D2D users, the service quality can be ensured by maximizing the spatial spectrum utilization rate Δ, so the mathematical form of the optimization problem is as follows
Figure GDA0002521908330000221
Similar to (35), (37) can also be solved effectively by the interior point method.
In summary, due to limited spectrum resources, excessive frequency reuse is caused when large-scale D2D application is performed, thereby causing severe superposition interference to mobile terminals occupying the same time-frequency resources. Severe interference tends to cause drastic performance degradation of the communication system, such as a decrease in spectral efficiency and an increase in outage probability. In order to improve the spectrum efficiency and ensure reliable transmission, the present embodiment provides an application scheme combining a non-orthogonal multiple access technology (NOMA) with high spectrum efficiency and a cooperative hybrid automatic repeat request (HARQ) for ensuring transmission reliability in a large-scale D2D network.
The above embodiments are preferred embodiments of the present invention, but the present invention is not limited to the above embodiments, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be construed as equivalents thereof, and all such changes, modifications, substitutions, combinations, and simplifications are intended to be included in the scope of the present invention.

Claims (4)

1. A large-scale D2D communication method based on HARQ assisted NOMA, the communication method comprises the following steps:
s1, designing the application scheme of combining NOMA and HARQ, the sending device will transmit the information S to two D2D users according to the HARQ1And s2Respectively generating corresponding code words by forward error correction coding, and then sending information to D2D users by superposition coding by using non-orthogonal multiple access technology supporting multi-user simultaneous transmission
Figure FDA0002521908320000011
D2D users decode information respectively, when the decoding of any one D2D user fails, the D2D user feeds back a NACK signal to sending equipment to require a sending end to resend the information until the two D2D users decode successfully or the maximum allowed transmission times K are reached;
s2, expressing the throughput eta and the space spectrum efficiency delta as an interruption probability function, wherein the throughput is the spectrum efficiency for measuring one piece of information, the space spectrum efficiency delta is used for measuring the spectrum efficiency of the whole network, and delta is lambda eta, lambda is the distribution density of D2D users occupying the same time-frequency resource, and the throughput eta is expressed as the distribution density of D2D users occupying the same time-frequency resource according to the theory of an updating process
Figure FDA0002521908320000012
The symbols in the formula have the following meanings:
Ri: information transmission rate preset for D2D user iThe ratio of the total weight of the particles,
Figure FDA0002521908320000013
indicating the probability of interruption of user i of D2D after K transmissions,
Figure FDA0002521908320000014
represents the probability of two D2D users breaking after k transmissions;
s3, decomposing the interruption probability, and dividing the interruption probability by a total probability formula
Figure FDA0002521908320000015
And
Figure FDA0002521908320000016
is shown as
Figure FDA0002521908320000021
Figure FDA0002521908320000022
Figure FDA0002521908320000023
The symbols in the formula have the following meanings:
Figure FDA0002521908320000024
representing the probability of an event occurring;
Figure FDA0002521908320000025
user 1 successfully decodes signal s after l transmissionsiThe event of (2);
Figure FDA0002521908320000026
union set
Figure FDA0002521908320000027
Complementary set of (i.e. user 1 still cannot decode the information s after K transmissionsi；
Figure FDA0002521908320000028
After k transmissions, the user 2 successfully decodes the event of its own message;
Figure FDA0002521908320000029
union set
Figure FDA00025219083200000210
The complementary set of (2), namely after K transmissions, user 2 can not recover its own information;
s4, accurately calculating the interruption probability by using random geometry, accurately simulating the distribution of interference D2D users by a two-dimensional homogeneous Poisson point process, and deducing a specific expression of the interruption probability by using a theory in the random geometry, wherein the specific expression comprises the following steps:
Figure FDA00025219083200000211
Figure FDA0002521908320000031
Figure FDA0002521908320000032
Figure FDA0002521908320000033
Figure FDA0002521908320000034
the symbols in the formula have the following meanings:
d1and d2Respectively representing the distance of user 1 and user 2 from the transmitting device,
τa＝(τ1+1,τ2,τ3),τb＝(τ1,τ2+1,τ3),τc＝(τ1+1,τ2),τd＝(τ1,τ2+1),τe＝(τ3,τ4),τf＝(τ1+1,τ2+1),τg＝(τ1,τ2+2),
Figure FDA0002521908320000035
Figure FDA0002521908320000036
the function Ψ (U, τ; V, upsilon) is defined as
Figure FDA0002521908320000037
Where U is (U)1,…,UN)，τ＝(τ1,…,τN)，V＝(V1,…,VM)，υ＝(υ1,…,υM)，
Figure FDA0002521908320000041
Expressed in the form of double integral
Figure FDA0002521908320000042
S5, approximate computation of probability of disruption under the premise of short-range communication, considering that the distance D between D2D users is very close, and due to cooperative communication, suppose D ≈ 0, double integral
Figure FDA0002521908320000043
Is approximated to
Figure FDA0002521908320000044
Wherein W is (U, V) or (W)1,…,WN+M)，ω＝(τ,υ)＝(ω1,…,ωN+M)，sA dirichlet function is defined which,
Figure FDA0002521908320000045
defining a fourth class of Lauricella functions, B (a, B) defining a Beta function, if N + M ═ 1, then the above approximation will become an equation;
s6, maximizing the spectrum efficiency, and reasonably selecting the information transmission rate R of the user1And R2To maximize throughput η while ensuring reliability of service, the mathematical form of the optimization problem is expressed as
Figure FDA0002521908320000046
Figure FDA0002521908320000047
Figure FDA0002521908320000048
The symbols in the formula have the following meanings:
i: representing the maximum allowed outage probability for user i of D2D,
Figure FDA0002521908320000049
indicating the probability of user i having an interruption after the kth transmission,
β2: representing a preset power allocation factor;
by optimizing the distribution density of D2D users, the spatial spectrum utilization Δ is maximized while guaranteeing quality of service, so the mathematical form of the optimization problem is as follows:
Figure FDA0002521908320000051
Figure FDA0002521908320000052
Figure FDA0002521908320000053
λ＞0,
the symbols in the formula have the following meanings:
λ: indicating the distribution density of the interfering users,
i: representing the maximum allowed outage probability for user i of D2D,
Figure FDA0002521908320000054
indicating the probability of user i having an interruption after the kth transmission,
β2: representing a preset power allocation factor;
s7, setting modulation mode and coding scheme, configuring wireless resource, and utilizing optimized transmission rate R1 *And R2 *And D2D user distribution density λ*The value configures the radio resource.
2. The method of claim 1, wherein in the step S1 of designing the NOMA combined with HARQ, the decoding order is determined according to the path loss of two D2D users, and the path loss model is expressed as
Figure FDA0002521908320000055
Wherein
Figure FDA0002521908320000056
A reference path loss value of 1m is shown, α is the path loss exponent and d is the distance.
3. The HARQ-assisted NOMA-based large-scale D2D communication method as claimed in claim 1, wherein the step S6 is to optimize and solve the optimization problem by using an interior point method in the spectrum efficiency maximization to obtain the transmission rate R1 *And R2 *And D2D user distribution density λ*The value is obtained.
4. The method of claim 1, wherein the S7, the setting of modulation scheme and coding scheme, and the configuration of radio resources are as follows: by optimised transmission rate R1 *And R2 *Setting a reasonable modulation mode and a coding scheme at a transmitting end; by optimum lambda*And guiding wireless resource allocation, and carrying out spectrum reuse rate configuration aiming at the spectrum resources.
CN201810286303.2A 2018-04-03 2018-04-03 Large-scale D2D communication method based on HARQ auxiliary NOMA Active CN108600997B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201810286303.2A CN108600997B (en) 2018-04-03 2018-04-03 Large-scale D2D communication method based on HARQ auxiliary NOMA
AU2018102043A AU2018102043A4 (en) 2018-04-03 2018-12-10 Large-scale D2D Communication Method based on HARQ Assisted NOMA

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810286303.2A CN108600997B (en) 2018-04-03 2018-04-03 Large-scale D2D communication method based on HARQ auxiliary NOMA

Publications (2)

Publication Number Publication Date
CN108600997A CN108600997A (en) 2018-09-28
CN108600997B true CN108600997B (en) 2020-09-04

Family

ID=63625204

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810286303.2A Active CN108600997B (en) 2018-04-03 2018-04-03 Large-scale D2D communication method based on HARQ auxiliary NOMA

Country Status (2)

Country Link
CN (1) CN108600997B (en)
AU (1) AU2018102043A4 (en)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109451572B (en) * 2019-01-09 2021-06-29 中国人民解放军陆军工程大学 Non-orthogonal multiple access network safety transmission method based on ARQ protocol
CN109905918B (en) * 2019-02-25 2022-04-01 重庆邮电大学 NOMA cellular Internet of vehicles dynamic resource scheduling method based on energy efficiency
CN110809313B (en) * 2019-10-24 2022-07-05 暨南大学 Downlink power distribution method of HARQ (hybrid automatic repeat request) assisted NOMA (non-orthogonal multiple access) technology
CN110838897B (en) * 2019-11-12 2022-07-22 哈尔滨工业大学（深圳） High-energy-efficiency network coding HARQ transmission mechanism for downlink multicast scene of spatial information network
CN111698724B (en) * 2020-05-15 2022-02-01 北京邮电大学 Data distribution method and device in edge cache
CN113315607B (en) * 2021-04-15 2022-06-17 中山大学 Communication method based on HARQ auxiliary multi-RIS system
CN113225753B (en) * 2021-04-16 2022-05-10 广东工业大学 Intelligent reflector assisted non-orthogonal multiple access communication system and optimization method thereof
CN113596785B (en) * 2021-07-26 2023-08-08 山东顺和电子商务产业园有限责任公司 D2D-NOMA communication system resource allocation method based on deep Q network
CN115175147B (en) * 2022-07-28 2024-03-22 重庆邮电大学 Unmanned aerial vehicle assisted D2D communication network robust energy efficiency optimization method

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016108665A1 (en) * 2014-12-31 2016-07-07 엘지전자(주) Method for allocating resource in wireless communication system and apparatus therefor
CN106162846A (en) * 2016-06-21 2016-11-23 华中科技大学 A kind of two users NOMA descending efficiency optimization method considering SIC energy consumption
CN106385300A (en) * 2016-08-31 2017-02-08 上海交通大学 Uplink NOMA power distribution method based on dynamic decoding SIC receiver
CN106688288A (en) * 2014-09-25 2017-05-17 三星电子株式会社 Synchronization procedure and resource control method and apparatus for communication in d2d system
CN107006025A (en) * 2014-09-25 2017-08-01 三星电子株式会社 The method and apparatus that hybrid automatic repeat request processes for device-to-device are managed
CN107567695A (en) * 2015-03-27 2018-01-09 三星电子株式会社 Resource allocation apparatus and method in extensive antenna system

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20150134908A (en) * 2014-05-23 2015-12-02 삼성전자주식회사 Method and apparatus for transmission and reception of low-cost terminal in wireless communication system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106688288A (en) * 2014-09-25 2017-05-17 三星电子株式会社 Synchronization procedure and resource control method and apparatus for communication in d2d system
CN107006025A (en) * 2014-09-25 2017-08-01 三星电子株式会社 The method and apparatus that hybrid automatic repeat request processes for device-to-device are managed
WO2016108665A1 (en) * 2014-12-31 2016-07-07 엘지전자(주) Method for allocating resource in wireless communication system and apparatus therefor
CN107567695A (en) * 2015-03-27 2018-01-09 三星电子株式会社 Resource allocation apparatus and method in extensive antenna system
CN106162846A (en) * 2016-06-21 2016-11-23 华中科技大学 A kind of two users NOMA descending efficiency optimization method considering SIC energy consumption
CN106385300A (en) * 2016-08-31 2017-02-08 上海交通大学 Uplink NOMA power distribution method based on dynamic decoding SIC receiver

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
Cooperative Hybrid Spectrum Sharing: A NOMA-based Approach;Md Fazlul Kader等;《Wireless Pers Commun》;20170425;全文 *
On the Performance of HARQ-IR Over Nakagami-m;Haichuan Ding等;《IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY》;20170512;全文 *
Outage Performance Analysis for Wireless;JINGLUN WANG等;《IEEE Access》;20180104;全文 *
采用分布式编码的协作HARQ协议;吴熹等;《计算机工程与应用》;20150930;全文 *

Also Published As

Publication number Publication date
AU2018102043A4 (en) 2019-01-17
CN108600997A (en) 2018-09-28

Similar Documents

Publication Publication Date Title
CN108600997B (en) Large-scale D2D communication method based on HARQ auxiliary NOMA
CN114365532B (en) Neural network-based link-level performance prediction
Yang et al. On the performance of non-orthogonal multiple access systems with partial channel information
US10396934B2 (en) Method for channel quality report
JP2005514801A (en) Allocation of uplink resources in a multiple input / multiple output (MIMO) communication system
US11159255B2 (en) Beam selection and combining for radio access network
KR20050002633A (en) Method and apparatus for improving scheduler performance in wireless packet data systems
Dosti et al. On the performance of non-orthogonal multiple access in the finite blocklength regime
KR20150076205A (en) Distributed v-mimo processing for coordinated multipoint reception
Nguyen et al. Performance analysis of energy harvesting-based full-duplex decode-and-forward vehicle-to-vehicle relay networks with nonorthogonal multiple access
Shah et al. Effective capacity analysis of HARQ-enabled D2D communication in multi-tier cellular networks
US20150043423A1 (en) Method and apparatus for scheduling resources at relay station (rs) in mobile communication network
US10681729B2 (en) Network node, user device and methods thereof
EP2810392B1 (en) Bundling of packet acknowledgments as a function of the distance
US20210075498A1 (en) Adaptive relaying in a non-orthogonal multiple access (noma) communication system
Della Penda et al. A distributed mode selection scheme for full-duplex device-to-device communication
WO2024021652A1 (en) Wireless communication method and device, and storage medium
Ni et al. Relay handover and link adaptation design for fixed relays in IMT-advanced using a new Markov chain model
Dashti et al. Uplink radio resource allocation in AF and DF relay-assisted networks with limited rate feedback
CN107409010B (en) Network node and method thereof
Makki et al. On an HARQ-based coordinated multi-point network using dynamic point selection
WO2020210845A2 (en) Methods and apparatus for power allocation
Kobayashi et al. Highly-efficient low-latency HARQ built on NOMA for URLLC: Radio resource allocation and transmission rate control aspects
Dosit et al. Performance of non-orthogonal multiple access under finite blocklength
Pereira et al. Delay optimization on a p-persistent mac protocol for a multi-packet detection in sc-fde system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant