LTE-A Uplink Resource Sharing Mechanism Based on Matching and Interference Quantizing in Cognitive Radio Network
Fei Xin-wei① Wang Man-xi② Bai Bo① Chen Wei① Cao Zhi-gang①
①(State Key Laboratory on Microwave and Digital Communications, Tsinghua University, Beijing 100084, China) ②(State Key Laboratory of Complex Electromagnetic Environmental Effects on Electronics and Information System, Luoyang 471003, China)
Abstract：In cognitive radio network, the underlay coexistence problem of the OFDMA based Secondary System (SS) with LTE-A systems is more and more important. This paper focuses on the resource allocation and interference mitigation issues in the aforementioned scenario. The dif?culty lies in the fact that even the subproblem, or power allocation with interference, is NP-Hard. Therefore, this paper proposes a two-phase Resource Allocation algorithm using maximum weighted Matching in the subcarrier allocation phase and interference Quantizing in the power allocation phase, referred to as the MQRA algorithm. As presented in this paper, the proposed MQRA algorithm has a good balance in performance and complexity, which ful?lls the stringent delay requirement of LTE-A systems.
费新伟, 王满喜, 白铂, 陈巍, 曹志刚. 认知无线网络中一种基于匹配和干扰量化的LTE-A上行资源共享机制[J]. 电子与信息学报, 2014, 36(7): 1686-1692.
Fei Xin-Wei, Wang Man-Xi, Bai Bo, Chen Wei, Cao Zhi-Gang. LTE-A Uplink Resource Sharing Mechanism Based on Matching and Interference Quantizing in Cognitive Radio Network. , 2014, 36(7): 1686-1692.
2014, Vol. 36 
