This paper studies a decentralized power allocation for uplink random access of secondary users in cognitive network with successive interference cancellation. First, for the additive white Gaussian noise channel, we propose a novel algorithm, which enables to obtain discrete power levels and optimize the corresponding probabilities, iterating per-level from the lowest power level to the highest one. Under a fading environment, we further propose an opportunistic transmission protocol to reduce the interference temperature at the primary base station, by allocating powers only to the secondary users who will result in small interference. The proposed algorithms are verified via computer simulations.
|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