CN102811490A - MISO-OFDM (Multiple-Input Single-Output-Orthogonal Frequency Division Multiplexing) downlink resource distribution method based on energy efficiency - Google Patents
MISO-OFDM (Multiple-Input Single-Output-Orthogonal Frequency Division Multiplexing) downlink resource distribution method based on energy efficiency Download PDFInfo
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- CN102811490A CN102811490A CN201210233196XA CN201210233196A CN102811490A CN 102811490 A CN102811490 A CN 102811490A CN 201210233196X A CN201210233196X A CN 201210233196XA CN 201210233196 A CN201210233196 A CN 201210233196A CN 102811490 A CN102811490 A CN 102811490A
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Abstract
The invention discloses an MISO-OFDM (Multiple-Input Single-Output-Orthogonal Frequency Division Multiplexing) downlink resource distribution method based on energy efficiency, comprising the followings steps of: averagely distributing a total transmitted power of a base station to each sub carrier frequency in a used sub carrier frequency set omega of the base station; averagely distributing all the sub carrier frequencies in the sub carrier frequency set to all communicating users; determining the quantity of the sub carrier frequencies which are distributed to each user; and determining the sub carrier frequency set which is distributed to each user. According to the MISO-OFDM downlink resource distribution method based on the energy efficiency disclosed by the invention, a sub carrier frequency distribution scheme which has fairness and efficiency is provided under a double-variable restriction condition of a total power and each user capacity lower limit; and the optimization of system efficiency is realized through a sub channelization scheme.
Description
Technical field
The invention belongs to wireless communication technology field, more specifically, relate to a kind of MISO-OFDM downlink resource allocation method based on energy efficiency.
Background technology
The single output of many inputs (Multiple-Input Single-Output; MISO) be a kind of intelligent antenna technology; In this technology; What the transmitting terminal of communication system used is the multichannel antenna, and receiving terminal has only an antenna, makes up to reach the minimum optimum data transmission bauds of sum of errors through the antenna to transmitting terminal.The MISO technology has been widely used in DTV (DTV), and WLAN (WLANs) is in MAN (MANs) and the mobile communication.
OFDM (Orthogonal Frequency Division Multiplexing is called for short OFDM) has been used as the basic modulation system of wideband wireless communication system of future generation.It at first utilizes string and conversion that signal is become the lower parallel signal of multichannel speed; Again parallel signal is modulated on the orthogonal sub-carriers; Realized the orthogonality between the subchannel; Utilize the Cyclic Prefix technology to eliminate simultaneously and postpone the intersymbol interference that expansion brings, the superiority of brilliance on having represented this technology intersymbol being crosstalked in suppressing interchannel interference and channel.
Scheme from existing MISO-OFDM downlink resource allocations; Various allocative decisions are not reached an agreement on the criterion of system capacity efficient as yet; Simultaneously; How when improving system capacity efficient, have fairness that QoS of customer (Quality of Service is called for short QoS) and user serve concurrently and be another challenge that present communication resource distribution research institute faces.
Summary of the invention
Defective to prior art; The object of the present invention is to provide a kind of MISO-OFDM downlink resource allocation method based on energy efficiency; It under the bivariate constraints of gross power and each user capacity lower limit, has proposed a kind of sub-carrier frequency distribution scheme that has fairness and efficiency property concurrently to the MISO-OFDM down link; Through this sub-channelizing scheme, realize the optimization of system energy efficiency.
For realizing above-mentioned purpose, the invention provides a kind of MISO-OFDM downlink resource allocation method based on energy efficiency, may further comprise the steps:
(1) with total transmitting power P of base station
TotalOn each sub-carrier frequency in the employed sub-carrier frequency set omega in mean allocation to base station, the power of promptly being got on each sub-carrier frequency is p=P
Total/ N, wherein N is the number of sub-carrier frequency, and with all the sub-carrier frequency mean allocation in the set of sub-carrier frequency to the user in all communications, be about to the sub-carrier frequency number that each user distributes and be initialized as [N/K], wherein K is the user's in the communication number;
(2) confirm to distribute to each user's sub-carrier frequency number, specifically comprise:
(21), judge the difference [gap of its available capacity and capacity lower limit for all users
1(N
1), gap
2(N
2) ..., gap
K(N
K)] whether more than or equal to 0, if, then get into step (3), otherwise, step (22) got into;
(22) for [gap
1(N
1), gap
2(N
2) ..., gap
K(N
K) the maximum user u of middle difference, carry out N
u=N
u-1, for [gap
1(N
1), gap
2(N
2) ..., gap
K(N
K)] the minimum user v of middle difference, carry out N
v=N
v+ 1, and return step (21);
(3) confirm to distribute to each user's sub-carrier frequency set:
(31), and counter i=1 is set with big or small descending arrangement of all users by the average gain noise ratio on its sub-carrier frequency
;
(a 32) i user are according to its sub-carrier frequency number N
iFrom sub-carrier frequency set omega, select the best N of channel quality
iIndividual sub-carrier frequency is as its sub-carrier frequency set omega
i, by Ω
iIn all sub-carrier frequency form i user's subchannel;
(33) reject the sub-carrier frequency of having been chosen by i user in the sub-carrier frequency set, Ω=Ω-Ω promptly is set
i, and i=i+1 is set, return step (32) then;
(34) repeating step (32) and (33) are till all users' subchannel is all confirmed.
For k user among all users, the difference gap of its available capacity and capacity lower limit
k(N
k) calculate through following formula:
Wherein B is an overall system bandwidth, and N is the sub-carrier frequency number in the sub-carrier frequency set omega, C
MinBe the user capacity lower limit that ensures that QoS of customer sets, its number range is 10bps to 30bps.
For k user among all users, the average gain noise ratio on its sub-carrier frequency
Be to obtain by following formula:
CgNR wherein
K, nRepresent the channel gain noise ratio of k user on n sub-carrier frequency, and
Wherein
Be the fabulous norm of k user on sub-carrier frequency n, and
h
K, n, i=Md (k)
-αa
Sh(k) a
f(k, n, i), wherein i ∈ [1, M
T], M is the constant by the environment decision, a
ShFor presenting the component of shadow effect, its obeys logarithm normal distribution, a
fBe the small scale decline component of Rayleigh distributed, d (k) is the distance of base station to user k, and a is a path loss index, M
TNumber of transmit antennas for the base station outfit.
Channel quality in the sub-carrier frequency set omega and channel gain noise ratio CgNR
K, nBe directly proportional.
Through the above technical scheme that the present invention conceived, compared with prior art, the present invention has following beneficial effect:
1, in step (2), make that through the sub-carrier frequency number of adjusting each user each user's the difference of capacity and desired capacity lower limit is non-negative, finally confirmed to distribute to each user's sub-carrier frequency number.Under this method of salary distribution, guaranteed that each user's capacity is not less than desired capacity lower limit, this just makes that quality of services for users is able to ensure, has embodied the fair principle of user's service simultaneously;
2, in step (3); Through make the high user of average channel gain noise ratio in the set of sub-carrier frequency the preferential measured sub-carrier frequency of selective channel matter to set up its subchannel; Make the efficiency property of sub-carrier frequency distribution be able to ensure; Since power be mean allocation on each subchannel, step (3) has also embodied simultaneously the efficiency property of power division.
Description of drawings
Fig. 1 is the applied environment figure that the present invention is based on the MISO-OFDM downlink resource allocation method of energy efficiency.
Fig. 2 is the flow chart that the present invention is based on the MISO-OFDM downlink resource allocation method of energy efficiency.
Fig. 3 is the performance simulation figure that sub-channels Mean Speed of the present invention changes with the subchannel average power.
Fig. 4 is the analogous diagram of each user and base station distance among the present invention.
Fig. 5 is corresponding to the user capacity analogous diagram that distance produced of user among Fig. 4 and base station among the present invention.
Embodiment
In order to make the object of the invention, technical scheme and advantage clearer,, the present invention is further elaborated below in conjunction with accompanying drawing and embodiment.Should be appreciated that specific embodiment described herein only in order to explanation the present invention, and be not used in qualification the present invention.
As shown in Figure 1, consider a single sub-district MISO-OFDM system, the base station is equipped with M
TTransmit antennas, user side are equipped with single reception antenna, and K user is evenly distributed in the sub-district.Overall system bandwidth is B, removes the sub-carrier frequency as pilot tone, and the sub-carrier frequency set that the definition base station is used to transmit data is Ω, and the sub-carrier frequency number among the Ω is N, and total transmit power constraint is P
Total
At a time the shadow effect of user on all sub-carrier frequency is identical.Under the situation of flat fading, also there is the additive white Gaussian noise component in the middle of the sub-carrier frequency, its obedience N that distributes (0, σ
2), and σ
2=N
0B/N, wherein, N
0Be the white Gaussian noise power density.Sub-carrier frequency of hypothesis can not be occupied by a plurality of users in a transmission cycle among the present invention.Channel condition information (Channel Statement Information is called for short CSI) is known at transmitting terminal fully.The semi-static channel of channel for not changing a transmission cycle internal state.
As shown in Figure 2, the MISO-OFDM downlink resource allocation method that the present invention is based on energy efficiency may further comprise the steps:
(1) with total transmitting power P of base station
TotalOn each sub-carrier frequency in the employed sub-carrier frequency set omega in mean allocation to base station, the power of promptly being got on each sub-carrier frequency is p=P
Total/ N, wherein N is the number of sub-carrier frequency, and with all the sub-carrier frequency mean allocation in the set of sub-carrier frequency to the user in all communications, be about to the sub-carrier frequency number that each user distributes and be initialized as [N/K], wherein K is the user's in the communication number;
(2) confirm to distribute to each user's sub-carrier frequency number, specifically comprise following substep:
(21), judge the difference [gap of its available capacity and capacity lower limit for all users
1(N
1), gap
2(N
2) ..., gap
K(N
K)] whether more than or equal to 0, if, then get into step (3), otherwise, step (22) got into;
Particularly, for k user among all users, the difference gap of its available capacity and capacity lower limit
k(N
k) be to calculate through following formula:
Wherein B is an overall system bandwidth, and N is the sub-carrier frequency number in the sub-carrier frequency set omega, C
MinBe the user capacity lower limit that ensures that QoS of customer sets, the scope of setting user's capacity lower limit among the present invention is 10bps to 30bps.
For k user among all users, the average gain noise ratio on its sub-carrier frequency
Be to obtain by following formula:
CgNR wherein
K, nRepresent the channel gain noise ratio of k user on n sub-carrier frequency, and
Wherein
Be the fabulous norm of k user on sub-carrier frequency n, and
h
K, n, i=Md (k)
-αa
Sh(k) a
f(k, n, i), wherein i ∈ [1, M
T], M is the constant by the environment decision, a
ShFor presenting the component of shadow effect, its obeys logarithm normal distribution, a
fBe the small scale decline component of Rayleigh distributed, d (k) is the distance of base station to user k, and a is a path loss index, M
TNumber of transmit antennas for the base station outfit.
(22) for [gap
1(N
1), gap
2(N
2) ..., gap
K(N
K)] the maximum user u of middle difference, carry out N
u=N
u-1, for [gap
1(N
1), gap
2(N
2) ..., gap
K(N
K)] the minimum user v of middle difference, carry out N
v=N
v+ 1, and return step (21);
(3) confirm to distribute to each user's sub-carrier frequency set, specifically comprise following substep:
(31), and counter i=1 is set with big or small descending arrangement of all users by the average gain noise ratio on its sub-carrier frequency
;
(a 32) i user are according to its sub-carrier frequency number N
iFrom sub-carrier frequency set omega, selecting channel quality best (is channel gain noise ratio CgNR
I, nMaximum) N
iIndividual sub-carrier frequency is as its sub-carrier frequency set omega
i, by Ω
iIn all sub-carrier frequency form i user's subchannel;
(33) reject the sub-carrier frequency of having been chosen by i user in the sub-carrier frequency set, Ω=Ω-Ω promptly is set
i, and i=i+1 is set, return step (32) then;
(34) repeating step (32) and (33) are till all users' subchannel is all confirmed.
Fig. 3 to Fig. 5 is the simulation result of algorithm of the present invention, and respectively with regard to the influence of subchannel average power to its Mean Speed, the distance of user and base station and user and base station distance have been carried out emulation to the influence of its capacity.During emulation, number of users is set at 32, the user to the distance of base station (0, obey evenly in 5km) and distribute.Base station end has been equipped with 4 transmitting antennas, and user terminal is equipped with single antenna.In conjunction with channel gain model before, the subchannel capacities lower limit set is 27bps.
Can find out that from simulation result the Mean Speed of subchannel increases along with the increase of the average power that subchannel distributed; The minimal user capacity that algorithm of the present invention is realized is much larger than targeted customer's capacity lower limit of in simulation parameter, setting.In simulation result, also demonstrate simultaneously the user apart from the violent influence of the distance of base station to user capacity, even distance increase the decay significantly that also can cause capacity by a small margin.
Those skilled in the art will readily understand; The above is merely preferred embodiment of the present invention; Not in order to restriction the present invention, all any modifications of within spirit of the present invention and principle, being done, be equal to and replace and improvement etc., all should be included within protection scope of the present invention.
Claims (4)
1. the MISO-OFDM downlink resource allocation method based on energy efficiency is characterized in that, may further comprise the steps:
(1) with total transmitting power P of base station
TotalOn each sub-carrier frequency in the employed sub-carrier frequency set omega in mean allocation to base station, the power of promptly being got on each sub-carrier frequency is p=P
Total/ N, wherein N is the number of sub-carrier frequency, and with all the sub-carrier frequency mean allocation in the set of sub-carrier frequency to the user in all communications, be about to the sub-carrier frequency number that each user distributes and be initialized as [N/K], wherein K is the user's in the communication number;
(2) confirm to distribute to each user's sub-carrier frequency number, specifically comprise:
(21), judge the difference [gap of its available capacity and capacity lower limit for all users
1(N
1), gap
2(N
2) ..., gap
K(N
K)] whether more than or equal to 0, if, then get into step (3), otherwise, step (22) got into;
(22) for [gap
1(N
1), gap
2(N
2) ..., gap
K(N
K)] the maximum user u of middle difference, carry out N
u=N
u-1, for [gap
1(N
1), gap
2(N
2) ..., gap
K(N
K)] the minimum user v of middle difference, carry out N
v=N
v+ 1, and return step (21);
(3) confirm to distribute to each user's sub-carrier frequency set:
(31), and counter i=1 is set with big or small descending arrangement of all users by the average gain noise ratio on its sub-carrier frequency
;
(a 32) i user are according to its sub-carrier frequency number N
iFrom sub-carrier frequency set omega, select the best N of channel quality
iIndividual sub-carrier frequency is as its sub-carrier frequency set omega
i, by Ω
iIn all sub-carrier frequency form i user's subchannel;
(33) reject the sub-carrier frequency of having been chosen by i user in the sub-carrier frequency set, Ω=Ω-Ω promptly is set
i, and i=i+1 is set, return step (32) then;
(34) repeating step (32) and (33) are till all users' subchannel is all confirmed.
2. method according to claim 1 is characterized in that, for k user among all users, and the difference gap of its available capacity and capacity lower limit
k(N
k) calculate through following formula:
Wherein B is an overall system bandwidth, and N is the sub-carrier frequency number in the sub-carrier frequency set omega, C
MinBe the user capacity lower limit that ensures that QoS of customer sets, its number range is 10bps to 30bps.
3. method according to claim 1 and 2 is characterized in that, for k user among all users, and the average gain noise ratio on its sub-carrier frequency
Be to obtain by following formula:
CgNR wherein
K, nRepresent the channel gain noise ratio of k user on n sub-carrier frequency, and
Wherein
Be the fabulous norm of k user on sub-carrier frequency n, and
h
K, n, i=Md (k)
-αa
Sh(k) a
f(k, n, i), wherein i ∈ [1, M
T], M is the constant by the environment decision, a
ShFor presenting the component of shadow effect, its obeys logarithm normal distribution, a
fBe the small scale decline component of Rayleigh distributed, d (k) is the distance of base station to user k, and a is a path loss index, M
TNumber of transmit antennas for the base station outfit.
4. method according to claim 3 is characterized in that, channel quality in the sub-carrier frequency set omega and channel gain noise ratio CgNR
K, nBe directly proportional.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103051581A (en) * | 2012-12-18 | 2013-04-17 | 华中科技大学 | Effective capacity-based optimization method for energy efficiency of MIMO-OFDM (multiple input multiple output-orthogonal frequency division multiplexing) system |
| CN104320850A (en) * | 2014-10-14 | 2015-01-28 | 东南大学 | Large-scale MISO (Multi Input Single Output) multi-community collaborative power allocation method |
| CN104902574A (en) * | 2015-04-10 | 2015-09-09 | 内蒙古大学 | Antenna selection and power distribution method based on energy efficiency |
| CN105188144A (en) * | 2015-08-12 | 2015-12-23 | 西安电子科技大学 | Multi-user multiple input multiple output (MU-MIMO) based stream distribution proportional fairness scheduling method |
| CN103731922B (en) * | 2013-12-16 | 2016-11-30 | 电子科技大学 | Channel allocation method based on efficiency |
| CN106604327A (en) * | 2016-11-23 | 2017-04-26 | 海信集团有限公司 | Network resource distribution method and base station |
| CN107770791A (en) * | 2017-11-03 | 2018-03-06 | 华中科技大学 | A kind of efficiency fairness optimization method based on energy capture |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102256360A (en) * | 2011-07-14 | 2011-11-23 | 南京邮电大学 | Knapsack problem-based resource allocation method in cognitive radio system |
-
2012
- 2012-07-06 CN CN201210233196.XA patent/CN102811490B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102256360A (en) * | 2011-07-14 | 2011-11-23 | 南京邮电大学 | Knapsack problem-based resource allocation method in cognitive radio system |
Non-Patent Citations (1)
| Title |
|---|
| XIAOHU GE等: "Energy Efficiency Analysis of MISO-OFDM Communication Systems Considering Power and Capacity Constraints", 《SPRINGER SCIENCE+BUSINESS MEDIA, LLC 2011》, 25 February 2011 (2011-02-25), pages 1 - 7 * |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103051581B (en) * | 2012-12-18 | 2015-04-15 | 华中科技大学 | Effective capacity-based optimization method for energy efficiency of MIMO-OFDM (multiple input multiple output-orthogonal frequency division multiplexing) system |
| CN103051581A (en) * | 2012-12-18 | 2013-04-17 | 华中科技大学 | Effective capacity-based optimization method for energy efficiency of MIMO-OFDM (multiple input multiple output-orthogonal frequency division multiplexing) system |
| CN103731922B (en) * | 2013-12-16 | 2016-11-30 | 电子科技大学 | Channel allocation method based on efficiency |
| CN104320850A (en) * | 2014-10-14 | 2015-01-28 | 东南大学 | Large-scale MISO (Multi Input Single Output) multi-community collaborative power allocation method |
| CN104320850B (en) * | 2014-10-14 | 2018-06-05 | 东南大学 | Extensive MISO multi-cell coordination power distribution methods |
| CN104902574A (en) * | 2015-04-10 | 2015-09-09 | 内蒙古大学 | Antenna selection and power distribution method based on energy efficiency |
| CN104902574B (en) * | 2015-04-10 | 2018-11-13 | 内蒙古大学 | A kind of day line options and power distribution method based on efficiency |
| CN105188144B (en) * | 2015-08-12 | 2018-08-21 | 西安电子科技大学 | Stream allocation proportion equity dispatching method based on MU-MIMO |
| CN105188144A (en) * | 2015-08-12 | 2015-12-23 | 西安电子科技大学 | Multi-user multiple input multiple output (MU-MIMO) based stream distribution proportional fairness scheduling method |
| CN106604327A (en) * | 2016-11-23 | 2017-04-26 | 海信集团有限公司 | Network resource distribution method and base station |
| CN106604327B (en) * | 2016-11-23 | 2023-08-15 | 海信集团有限公司 | Network resource allocation method and base station |
| CN107770791B (en) * | 2017-11-03 | 2018-07-06 | 华中科技大学 | A kind of efficiency fairness optimization method based on energy capture |
| CN107770791A (en) * | 2017-11-03 | 2018-03-06 | 华中科技大学 | A kind of efficiency fairness optimization method based on energy capture |
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