Cost-Efficient Service Function Chaining with CoMP Zero-Forcing Beamforming in Mobile Edge Networks

As two promising paradigms in next generation cellular systems, service function chaining (SFC) and mobile edge computing (MEC) have attracted great interests, would bring more delay-sensitive services to users proximity. Nevertheless, owing time-varying channel conditions finite server resources, the SFC deployment networks is nontrivial. In this work, leveraging both coordinated multiple points (CoMP)-based zero-forcing beamforming ℓp (0 < p 1) norm-based successive convex approximation (SCA) methods, we investigate edge. First, under constraints of processing link capacity, transmission power ordering, build a mixed-integer nonlinear programming (MINLP)-based cost optimization problem, minimize flow cost. Then, using dirty paper-based CoMP method, interference among SFSs canceled, original problem recast as interference-free one. Next, SCA method works produce series subproblem, iterative solution which proved converge optimal one at linear convergence rate. Finally, numerical results are used validate proposed showing that wireless resource management deserves special interests networks.