Assuming BS#1, BS#2,..., BS#./ arc the cooperative BSs with the i.i.d.
This is the signal service probability of the J BSs' CoMP pattern.
And the solid-square-marker and dot-square-marker lines are the signal service probability of the basic two BSs CoMP pattern solved by exact method by Eq.
where [Uc.sub.k] is the spectrum effectiveness of the kth user whose service is provided by the CoMP BSs and given by [Uc.sub.k] = [log.sub.2] (1 + [ScINR.sub.k] ([zeta] = 0)) where [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] is the received Signal with CoMP to Interference and Noise Ratio.
where [N.sub.T] is the white noise and [Jn.sub.s] represents the set consisting of all the neighbor BSs around 5-th BS.
Considering a standard 7 hexagonal BSs model as shown in Fig.
Although CRE may be an easy way to deploy in the existed network, it is always not energy-efficient and easy to bring the inter-cell interference, (b) BS and user associations' optimization: [8] and [9 ] model the association between users and BSs and give the optimal balanced-load association with the guaranteed QoS.
In this paper, we propose a load balancing strategy for wireless cellular network based on the BS' CoMP to effectively extend the coverage to the areas of the high-loaded BSs we want to balance as shown in Fig.
All the BSs are positioned in the center of the cell, as shown in Fig.
So to efficiently extend coverage to the high-loaded BS's serving areas, the neighboring active BSs will use complete joint process of cooperative communications to form the multiple BSs transmission Multi-BS cooperation can be modeled as MISO channel that the total received signal strength of one user is the sum of received signal strength from the cooperative BSs.