We study energy-efficient power allocation for the sensing-based spectrum sharing (SBSS) of the cognitive users operating in an uplink multiuser MIMO mode. Different from the existing energy-efficient designs that consider system-wise energy efficiency, we consider user-wise energy efficiencies and optimize them in a Pareto sense. However, due to the non-convexity of the formulated problem, finding the optimal solution is a challenging problem. To resolve the non-convexity of the problem, we propose to reduce the feasible set by including additional power constraints. Also, we show that the feasible set reduction technique preserves the optimality of the original problem. Simulation results show that the proposed scheme significantly enhances the energy efficiency of the cognitive users compared with the existing spectral-efficient designs.
|Title of host publication||2016 IEEE International Conference on Communications, ICC 2016|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 2016 Jul 12|
|Event||2016 IEEE International Conference on Communications, ICC 2016 - Kuala Lumpur, Malaysia|
Duration: 2016 May 22 → 2016 May 27
|Name||2016 IEEE International Conference on Communications, ICC 2016|
|Other||2016 IEEE International Conference on Communications, ICC 2016|
|Period||16/5/22 → 16/5/27|
Bibliographical notePublisher Copyright:
© 2016 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications