Achieving worst case robustness in energy efficient multiuser multicell cooperation systems
- Resource Type
- Conference
- Authors
- Cui, Yuke; Xu, Wei; Zhang, Hua; You, Xiaohu
- Source
- 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Signal and Information Processing (GlobalSIP), 2014 IEEE Global Conference on. :78-82 Dec, 2014
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Power, Energy and Industry Applications
Signal Processing and Analysis
Robustness
Optimization
Signal to noise ratio
Frequency modulation
Array signal processing
Interference
Energy efficiency
robust
multicell
- Language
This paper investigates robust energy efficient beam-forming for multi-cell downlink transmissions. A bounded uncertainty region is considered to model the impairments of channel state information (CSI) available at the base station (BS). We formulate the problem of beamforming optimization by maximizing the worst case energy efficiency (EE) under CSI uncertainties. Due to the non-convex nature of the problem, we resort to instead maximizing a lower bound to the primal objective function. In this way, the problem is casted to a convex semidefinite programming (SDP) under some specific conditions. We accordingly propose an alternating algorithm, which achieves a noticeable performance gain in terms of the worst case EE.