CN102811490B - 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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- CN102811490B CN102811490B CN201210233196.XA CN201210233196A CN102811490B CN 102811490 B CN102811490 B CN 102811490B CN 201210233196 A CN201210233196 A CN 201210233196A CN 102811490 B CN102811490 B CN 102811490B
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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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
Multiple input single output (Multiple-Input Single-Output, MISO) be a kind of intelligent antenna technology, in this technology, the transmitting terminal of communication system uses multi-path antenna, and receiving terminal only has an antenna, by combining to reach minimum error and optimum data transmission bauds to the antenna of transmitting terminal.MISO technology has been widely used in Digital Television (DTV), WLAN (WLANs), in MAN (MANs) and mobile communication.
OFDM (Orthogonal Frequency Division Multiplexing is called for short OFDM) is by the basic modulation system as wide-range wireless communication system of future generation.First it utilize serioparallel exchange signal to be become the lower parallel signal of multichannel speed, again parallel signal is modulated in orthogonal sub-carriers, achieve the orthogonality between subchannel, utilize Cyclic Prefix technology to eliminate simultaneously and postpone to expand the intersymbol interference brought, present the superiority that this technology is remarkable in intersymbol interference in suppression interchannel interference and channel.
From the scheme of existing MISO-OFDM downlink resource allocations, various allocative decision is not yet reached an agreement in the criterion of system energy efficiency, simultaneously, the fairness how having QoS of customer (Quality of Service is called for short QoS) and user's service while raising system energy efficiency concurrently is another challenge that current communication resource distribution research institute faces.
Summary of the invention
For the defect of 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 is for MISO-OFDM down link, under the bivariate constraints of gross power and each user capacity lower limit, propose a kind of sub-carrier frequency distribution scheme having fairness and energy efficiency concurrently, by this subchannelization scenario, realize the optimization of system energy efficiency.
For achieving the above object, the invention provides a kind of MISO-OFDM downlink resource allocation method based on energy efficiency, comprise the following steps:
(1) by total transmitting power P of base station
totalon every sub-carrier frequency in the sub-carrier frequency set omega that mean allocation to base station uses, namely every sub-carrier frequency is p=P by the power got
total/ N, wherein N is the number of sub-carrier frequency, and all sub-carrier frequency in sub-carrier frequency set is averagely allocated to the user in all communication, and the sub-carrier frequency number of distributing by each user is initialized as [N/K], and wherein K is the number of the user in communication;
(2) determine the sub-carrier frequency number distributing to each user, specifically comprise:
(21) for all users, the difference [gap of its available capacity and lower bound of capacity is judged
1(N
1), gap
2(N
2) ..., gap
k(N
k)] whether be more than or equal to 0, if so, then enter step (3), otherwise, enter step (22);
(22) for [gap
1(N
1), gap
2(N
2) ..., gap
k(N
k) in the maximum user u of difference, perform N
u=N
u-1, for [gap
1(N
1), gap
2(N
2) ..., gap
k(N
k)] in the minimum user v of difference, perform N
v=N
v+ 1, and return step (21);
(3) the sub-carrier frequency set distributing to each user is determined:
(31) all users are pressed the average gain noise ratio on its sub-carrier frequency
size descendingly to arrange, and counter i=1 is set;
(32) i-th users are according to its sub-carrier frequency number N
ithe top-quality N of choose channel from sub-carrier frequency set omega
iindividual sub-carrier frequency is as its sub-carrier frequency set omega
i, by Ω
iin all sub-carrier frequency form the subchannel of i-th user;
(33) to reject in sub-carrier frequency set by the sub-carrier frequency that i-th user chooses, namely Ω=Ω-Ω is set
i, and i=i+1 is set, then return step (32);
(34) step (32) and (33) is repeated, until the subchannel of all users is all determined.
For the user of the kth in all users, the difference gap of its available capacity and lower bound of capacity
k(N
k) by following formulae discovery:
wherein B is overall system bandwidth, and N is the sub-carrier frequency number in sub-carrier frequency set omega, C
minfor ensureing the user capacity lower limit set by QoS of customer, its number range is 10bps to 30bps.
For the user of the kth in all users, the average gain noise ratio on its sub-carrier frequency
obtained by following formula:
wherein CgNR
k,nrepresent the channel gain noise ratio of a kth user on the n-th sub-carrier frequency, and
wherein
for the fabulous norm of a kth 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 determined by environment, a
shfor presenting the component of shadow effect, its obeys logarithm normal distribution, a
ffor the multipath fading component of Rayleigh distributed, d (k) is for base station is to the distance of user k, and a is path loss index, M
tfor the number of transmit antennas that base station is equipped with.
Channel quality in sub-carrier frequency set omega and channel gain noise ratio CgNR
k,nbe directly proportional.
By the above technical scheme that the present invention conceives, compared with prior art, the present invention has following beneficial effect:
1, in step (2), made the difference non-negative of the capacity of each user and required lower bound of capacity by the sub-carrier frequency number adjusting each user, finally determine the sub-carrier frequency number distributing to each user.Under this method of salary distribution, ensure that the capacity of each user is not less than required lower bound of capacity, this is ensured with regard to making the service quality of user, embodies the fair principle of user's service simultaneously;
2, in step (3), by making the high user of the average channel gain noise ratio sub-carrier frequency that prioritizing selection channel quality is good in sub-carrier frequency set to set up its subchannel, the energy efficiency of sub-carrier frequency distribution is ensured, because power is evenly distributed on each sub-channels, step (3) also embodies the energy efficiency of power division simultaneously.
Accompanying drawing explanation
Fig. 1 is the applied environment figure of the MISO-OFDM downlink resource allocation method that the present invention is based on energy efficiency.
Fig. 2 is the flow chart of the MISO-OFDM downlink resource allocation method that the present invention is based on energy efficiency.
Fig. 3 is the performance simulation figure that sub-channels Mean Speed of the present invention changes with subchannel average power.
Fig. 4 is the analogous diagram of each user and base station distance in the present invention.
Fig. 5 is the user capacity analogous diagram that the distance corresponding to user and base station in Fig. 4 in the present invention produces.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
As shown in Figure 1, consider a Ge Dan community MISO-OFDM system, base station is equipped with M
ttransmit antennas, user side is equipped with single received antenna, and K user is uniformly distributed in the cell.Overall system bandwidth is B, and removing is used as the sub-carrier frequency of pilot tone, and definition base station is N for transmit the sub-carrier frequency set of data be sub-carrier frequency number in Ω, Ω, and total transmit power constraint is P
total.
At a time the shadow effect of user on all sub-carrier frequency is identical.In the case of flat fading, also there is additive white Gaussian noise component in the middle of sub-carrier frequency, N (0, σ is obeyed in its distribution
2), and σ
2=N
0b/N, wherein, N
0for white Gaussian noise power density.Suppose in the present invention that a sub-carrier frequency can not be occupied by multiple user in a transmission cycle.Channel condition information (Channel Statement Information is called for short CSI) is known completely at transmitting terminal.Channel is the semi-static channel that state does not change in a transmission cycle.
As shown in Figure 2, the MISO-OFDM downlink resource allocation method that the present invention is based on energy efficiency comprises the following steps:
(1) by total transmitting power P of base station
totalon every sub-carrier frequency in the sub-carrier frequency set omega that mean allocation to base station uses, namely every sub-carrier frequency is p=P by the power got
total/ N, wherein N is the number of sub-carrier frequency, and all sub-carrier frequency in sub-carrier frequency set is averagely allocated to the user in all communication, and the sub-carrier frequency number of distributing by each user is initialized as [N/K], and wherein K is the number of the user in communication;
(2) determine the sub-carrier frequency number distributing to each user, specifically comprise following sub-step:
(21) for all users, the difference [gap of its available capacity and lower bound of capacity is judged
1(N
1), gap
2(N
2) ..., gap
k(N
k)] whether be more than or equal to 0, if so, then enter step (3), otherwise, enter step (22);
Specifically, for the user of the kth in all users, the difference gap of its available capacity and lower bound of capacity
k(N
k) be by following formulae discovery:
wherein B is overall system bandwidth, and N is the sub-carrier frequency number in sub-carrier frequency set omega, C
minfor ensureing the user capacity lower limit set by QoS of customer, the scope setting the lower bound of capacity of user in the present invention is 10bps to 30bps.
For the user of the kth in all users, the average gain noise ratio on its sub-carrier frequency
obtained by following formula:
wherein CgNR
k,nrepresent the channel gain noise ratio of a kth user on the n-th sub-carrier frequency, and
wherein
for the fabulous norm of a kth 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 determined by environment, a
shfor presenting the component of shadow effect, its obeys logarithm normal distribution, a
ffor the multipath fading component of Rayleigh distributed, d (k) is for base station is to the distance of user k, and a is path loss index, M
tfor the number of transmit antennas that base station is equipped with.
(22) for [gap
1(N
1), gap
2(N
2) ..., gap
k(N
k)] in the maximum user u of difference, perform N
u=N
u-1, for [gap
1(N
1), gap
2(N
2) ..., gap
k(N
k)] in the minimum user v of difference, perform N
v=N
v+ 1, and return step (21);
(3) determine the sub-carrier frequency set distributing to each user, specifically comprise following sub-step:
(31) all users are pressed the average gain noise ratio on its sub-carrier frequency
size descendingly to arrange, and counter i=1 is set;
(32) i-th users are according to its sub-carrier frequency number N
ichoose channel (i.e. channel gain noise ratio CgNR best in quality from sub-carrier frequency set omega
i,nmaximum) N
iindividual sub-carrier frequency is as its sub-carrier frequency set omega
i, by Ω
iin all sub-carrier frequency form the subchannel of i-th user;
(33) to reject in sub-carrier frequency set by the sub-carrier frequency that i-th user chooses, namely Ω=Ω-Ω is set
i, and i=i+1 is set, then return step (32);
(34) step (32) and (33) is repeated, until the subchannel of all users is all determined.
Fig. 3 to Fig. 5 is the simulation result of algorithm of the present invention, and respectively with regard to the impact of subchannel average power on its Mean Speed, the distance of user and base station and user and the impact of base station distance on its capacity emulate.During emulation, number of users is set as 32, and user is uniformly distributed to distance obedience in (0,5km) of base station.Base station end is equipped with 4 transmitting antennas, and user terminal is equipped with single antenna.In conjunction with before channel gain model, subchannel capacities lower limit set is 27bps.
As can be seen from simulation result, the increase of the average power that the Mean Speed of subchannel is distributed along with subchannel and increasing; The minimum user capacity of algorithm realization of the present invention is much larger than the targeted customer's lower bound of capacity set in simulation parameter.In simulation result, also present the distance of user apart from base station to the dramatic impact of user capacity simultaneously, even distance increase the significantly decay that also can cause capacity by a small margin.
Those skilled in the art will readily understand; the foregoing is only preferred embodiment of the present invention; not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.
Claims (3)
1., based on a MISO-OFDM downlink resource allocation method for energy efficiency, it is characterized in that, comprise the following steps:
(1) by total transmitting power P of base station
totalon every sub-carrier frequency in the sub-carrier frequency set omega that mean allocation to base station uses, namely every sub-carrier frequency is p=P by the power got
total/ N, wherein N is the number of sub-carrier frequency, and all sub-carrier frequency in sub-carrier frequency set is averagely allocated to the user in all communication, and the sub-carrier frequency number of distributing by each user is initialized as [N/K], and wherein K is the number of the user in communication;
(2) determine the sub-carrier frequency number distributing to each user, specifically comprise:
(21) for the user of the kth in all users, the difference [gap of its available capacity and lower bound of capacity is judged
1(N
1), gap
2(N
2) ..., gap
k(N
k)] whether be more than or equal to 0, the difference gap of its available capacity and lower bound of capacity
k(N
k) by following formulae discovery:
wherein B is overall system bandwidth, and N is the sub-carrier frequency number in sub-carrier frequency set omega, C
minfor ensureing the user capacity lower limit set by QoS of customer, its number range is 10bps to 30bps, if so, then enters step (3), otherwise, enter step (22);
(22) for [gap
1(N
1), gap
2(N
2) ..., gap
k(N
k)] in the maximum user u of difference, perform N
u=N
u-1, for [gap
1(N
1), gap
2(N
2) ..., gap
k(N
k)] in the minimum user v of difference, perform N
v=N
v+ 1, and return step (21);
(3) the sub-carrier frequency set distributing to each user is determined:
(31) all users are pressed the average gain noise ratio on its sub-carrier frequency
size descendingly to arrange, and counter i=1 is set;
(32) i-th users are according to its sub-carrier frequency number N
ithe top-quality N of choose channel from sub-carrier frequency set omega
iindividual sub-carrier frequency is as its sub-carrier frequency set omega
i, by Ω
iin all sub-carrier frequency form the subchannel of i-th user;
(33) to reject in sub-carrier frequency set by the sub-carrier frequency that i-th user chooses, namely Ω=Ω-Ω is set
i, and i=i+1 is set, then return step (32);
(34) step (32) and (33) is repeated, until the subchannel of all users is all determined.
2. method according to claim 1, is characterized in that, for the user of the kth in all users, and the average gain noise ratio on its sub-carrier frequency
obtained by following formula:
wherein CgNR
k,nrepresent the channel gain noise ratio of a kth user on the n-th sub-carrier frequency, and
wherein
for the fabulous norm of a kth user on sub-carrier frequency n, and
h
k, n, i=Md (k)
-αa
sh(k) α
f(k, n, i), wherein i ∈ [1, M
t], M is the constant determined by environment, a
shfor presenting the component of shadow effect, its obeys logarithm normal distribution, a
ffor the multipath fading component of Rayleigh distributed, d (k) is for base station is to the distance of user k, and a is path loss index, M
tfor the number of transmit antennas that base station is equipped with.
3. method according to claim 2, is characterized in that, the channel quality in sub-carrier frequency set omega and channel gain noise ratio CgNR
k,nbe directly proportional.
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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 |
| CN104320850B (en) * | 2014-10-14 | 2018-06-05 | 东南大学 | Extensive MISO multi-cell coordination power distribution methods |
| 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 |
| 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 |
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| Title |
|---|
| Energy Efficiency Analysis of MISO-OFDM Communication Systems Considering Power and Capacity Constraints;Xiaohu Ge等;《Springer Science+Business Media, LLC 2011》;20110225;1-7 * |
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