In this paper, we study joint energy cooperation and traffic management in renewable energy powered cellular system where a centralized unit manages the traffic and the energy cooperation among BSs. We first formulate a stochastic optimization problem which aims at minimizing the total on-grid energy consumption while satisfying the quality-of-service (QoS) requirement of classes of services, i.e., the minimum average data rates. By using the Lyapunov optimization framework, we develop a joint adaptive energy cooperation and traffic management algorithm which does not need the statistical information of the system. Then, we provide the performance analysis which shows our proposed algorithm is asymptotically optimal. Through the simulation results, we verify the theoretical analysis and show that the performance of our algorithm.
|Title of host publication||2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 2016|
|Event||59th IEEE Global Communications Conference, GLOBECOM 2016 - Washington, United States|
Duration: 2016 Dec 4 → 2016 Dec 8
|Name||2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings|
|Other||59th IEEE Global Communications Conference, GLOBECOM 2016|
|Period||16/12/4 → 16/12/8|
Bibliographical notePublisher Copyright:
© 2016 IEEE.
All Science Journal Classification (ASJC) codes
- Computational Theory and Mathematics
- Computer Networks and Communications
- Hardware and Architecture
- Safety, Risk, Reliability and Quality