Load-based power adjustments for cellular communication sites
For a cluster of cellular communication sites, the power consumption and data load of each site is measured over multiple time periods to determine an energy factor indicating the degree by which the power consumption of each site increases with increasing data load. The energy factors are then analyzed to determine coverage area sizes for the communications sites that will serve a given area while taking advantage of more efficient site to reduce overall power consumption of the cluster of sites. Transmission power levels are then adjusted at the sites to achieve these coverage area sizes.
1. A method comprising:
determining (a) energy consumption and (b) data load for each cellular communication site of a cluster of cellular communication sites for a first time period jand a second time period k;
calculating an energy factor f(i) of a particular cellular communication site i of the cluster in accordance with the following:
f ( i )=[power( i,j )−power( i,k )]/[load( i,j )−load( i,k )]
where:
power(i,j) represents energy consumed by the particular cellular communication site i during the first time period;
power(i,k) represents energy consumed by the particular cellular communication site i during the second time period;
load(i,j) represents a data load of the particular cellular communication site i during the first time period; and
load(i,k) represents a data load of the particular cellular communication site i during the second time period;
for each cellular communication site of the cluster, predicting an energy consumption as a function of data load, wherein predicting the energy consumption of the particular cellular communication site i is based at least in part on the energy factor f(i); and
varying a coverage area size setting of at least one of the cellular communication sites based at least in part on the predicted energy consumption of the cellular communication sites to reduce an aggregate energy consumption of the cellular communication sites.
2. The method of claim 1 , wherein the coverage area size setting of said at least one of the cellular communication sites corresponds to a coverage radius that is determined by a transmit power level of said at least one of the cellular communication sites.
3. The method of claim 1 , wherein varying the coverage area size setting is performed while maintaining at least a given average data throughput of the cellular communication sites.
4. The method of claim 1 , wherein varying the coverage area size setting is performed while maintaining a given aggregate coverage area of the cellular communication sites.
5. The method of claim 1 , wherein varying the coverage area size setting is performed while maintaining (a) a given average data throughput of the cellular communication sites and (b) a given aggregate coverage area of the cellular communication sites.
6. The method of claim 1 , further comprising selecting the coverage area sizes so as to minimize Σ i=0 n Func(A(i), f(i)), where n is a number of cellular communication sites in the cluster, A(i) is a coverage area size of the cellular communication site i of the cluster, and Func(A(i), f(i)) is a function of A(i) and f(i).
7. The method of claim 6 , wherein Func(A(i), f(i)) comprises A(i)*f(i).
8. A system comprising:
a processor; and
programming instructions which, when executed by the processor, cause the system to perform operations including:
determining (a) energy consumption and (b) data load for each cellular communication site of a cluster of cellular communication sites for a first time period i and a second time period k;
calculating an energy factor f(i) of a particular cellular communication site i of the cluster in accordance with the following:
f ( i )=[power( i,j )−power( i,k )]/[load( i,j )−load( i,k )]
where:
power(i,j) represents energy consumed by the particular cellular communication site i during the first time period;
power(i,k) represents energy consumed by the particular cellular communication site i during the second time period;
load(i,j) represents a data load of the particular cellular communication site i during the first time period; and
load(i,k) represents a data load of the particular cellular communication site i during the second time period;
for each cellular communication site of the cluster, predicting an energy consumption as a function of data load, wherein predicting the energy consumption of the particular cellular communication site i is based at least in part on the energy factor f(i); and
varying a coverage area size setting of at least one of the cellular communication sites based at least in part on the predicted energy consumption of the cellular communication sites to reduce an aggregate energy consumption of the cellular communication sites.
9. The system of claim 8 , wherein the coverage area size setting of said at least one of the cellular communication sites corresponds to a coverage radius that is determined by a transmit power level of said at least one of the cellular communication sites.
10. The system of claim 8 , wherein varying the coverage area size setting is performed while maintaining (a) a given average data throughput of the cellular communication sites or (b) a given aggregate coverage area of the cellular communication sites.
11. The system of claim 8 , wherein the operations further include selecting the coverage area sizes so as to minimize Σ i=0 n Func(A(i), f(i)), where n is a number of cellular communication sites in the cluster, A(i) is a coverage area size of the cellular communication site i of the cluster, and Func(A(i), f(i)) is a function of A(i) and f(i).
12. The system of claim 11 , wherein Func(A(i), f(i)) comprises A(i)*f(i).
13. A non-transitory computer-readable medium having programming instructions stored thereon, which, when executed by a computing device, cause the computing device to perform operations comprising:
determining (a) energy consumption and (b) data load for each cellular communication site of a cluster of cellular communication sites for a first time period and a second time period k;
calculating an energy factor f(i) of a particular cellular communication site i of the cluster in accordance with the following:
f ( i )=[power( i,j )−power( i,k )]/[load( i,j )−load( i,k )]
where:
power(i,j) represents energy consumed by the particular cellular communication site i during the first time period;
power(i,k) represents energy consumed by the particular cellular communication site i during the second time period;
load(i,j) represents a data load of the particular cellular communication site i during the first time period; and
load(i,k) represents a data load of the particular cellular communication site i during the second time period;
for each cellular communication site of the cluster, predicting an energy consumption as a function of data load, wherein predicting the energy consumption of the particular cellular communication site i is based at least in part on the energy factor f(i); and
varying a coverage area size setting of at least one of the cellular communication sites based at least in part on the predicted energy consumption of the cellular communication sites to reduce an aggregate energy consumption of the cellular communication sites.
14. The non-transitory computer-readable medium of claim 13 , wherein the operations further include selecting the coverage area sizes so as to minimize Σ i=0 n Func(A(i), f(i)), where n is a number of cellular communication sites in the cluster, A(i) is a coverage area size of the cellular communication site i of the cluster, and Func(A(i), f(i)) is a function of A(i) and f(i).
15. The non-transitory computer-readable medium of claim 14 , wherein Func(A(i), f(i)) comprises A(i)*f(i).