CAJ | 학술논문

面向多速率业务的认知网络,为了克服其动态性并实现速率控制的自主性,在改进 IEEE 1900.4系统架构的基础上提出了速率控制框架.探讨不同层面不同尺度的速率控制方案.重点研究终端侧短期实时速率控制的问题.首先,基于非合作博弈提出分布式自主速率选择方法;进而,基于合作博弈提出基于网络辅助的中心式速率分配方法.仿真结果表明,后者较前者获得近60%的效能和一定的公平性改善,同时也验证了定价函数设计能够有效地改进公平性.
면향다속솔업무적인지망락,위료극복기동태성병실현속솔공제적자주성,재개진 IEEE 1900.4계통가구적기출상제출료속솔공제광가.탐토불동층면불동척도적속솔공제방안.중점연구종단측단기실시속솔공제적문제.수선,기우비합작박혁제출분포식자주속솔선택방법;진이,기우합작박혁제출기우망락보조적중심식속솔분배방법.방진결과표명,후자교전자획득근60%적효능화일정적공평성개선,동시야험증료정개함수설계능구유효지개진공평성.
Orienting the multi-rate cognitive networks, overcoming the typical characteristics of dynamics to implement the autonomy and rationality of rate control, first the rate control framework based on the presented improved IEEE 1900.4 architecture was proposed. Meanwhile, different scaled rate control schemes on different levels were investigated. Then, the real-time rate control problem on the terminal we concentrate on. Most importantly, both the distributed rate selection of TRM towards RNRM and the centralized rate allocation of RNRM to TRM were investigated. Simulation results show that the latter can achieve 60% utility and certain fairness improvements, in addition, the rationality and fairness guaranteed by the newly-built pricing function is verified.