摘要
针对卫星通信中存在有效信道远小于注册频率的情况,提出了以潜铺型认知无线电为技术依靠的卫星上行链路功率控制算法。该算法以次要用户所获吞吐量与付出代价之差为效用函数,通过次要用户作为参与者建立的博弈模型进行纳什均衡求解,得到最优功率分配策略。该策略可满足次要用户自身需求,亦不影响主要用户系统正常通信,能有效提高频带使用率。在性能方面,指出了次要用户系统容量和预留信噪比的关系。仿真结果表明,在主要用户系统容许范围内次要用户数量越多则其系统吞吐量和系统收益越大,最后讨论了算法的实现复杂度。
In this paper, we develop scheme for uplink power allocation based on underlay cognitive radio technology in case of frequency underutilization. We address a game theoretic framework with secondary user as players and with the difference between throughput and price as utility function. By finding Nash Equilibrium, we gain the optimal power allocation strategy that could enhance frequency utilization and could protect primary users from infection by secondary users. We perform the relation between secondary users number and system performances, and then, we also show the connection between reserved SINR for primary users and secondary system capability for users access. Simulation results show the increase of secondary users number that system could afford could enhance system throughput and income. The complexity is also discussed.
出处
《电子技术应用》
北大核心
2012年第12期109-113,共5页
Application of Electronic Technique
关键词
卫星通信
潜铺认知无线电
上行链路
功率控制
博弈论
纳什均衡
satellite communication
underlay cognitive radio
uplink
power allocation
game theory
Nash Equilibrium
