应用科学学报
應用科學學報
응용과학학보
JOURNAL OF APPLIED SCIENCES
2014年
2期
111-118
,共8页
认知网络%机会干扰对齐%信道容量%预编码
認知網絡%機會榦擾對齊%信道容量%預編碼
인지망락%궤회간우대제%신도용량%예편마
cognitive networks%opportunistic interference alignment%channel capacity%pre-coding
在传统认知网络中,认知用户只能接入主要用户的空闲频带,而不能同时与主要用户共享带宽。为了更有效地利用频谱资源,提出一种容量最优机会干扰对齐接入算法。在保证主要用户信道容量的基础上,认知用户与主要用户可以占用相同的频带同时接入网络,且认知用户对主要用户的干扰为零。所提出的算法由混合网络基站估计信道状态信息,并计算主要用户的信道容量和系统总信道容量。根据容量最优的准则确定预编码向量及解码向量。当主要用户的信道容量与未接入认知用户相比几乎不下降,且总信道容量大于未接入认知用户的总容量时,认知用户以容量最优机会干扰对齐的方式接入网络。仿真结果表明:在相同信道状态条件下,所提出的算法较现有算法具有更优的信道容量并可提高认知网络频带利用率。
在傳統認知網絡中,認知用戶隻能接入主要用戶的空閒頻帶,而不能同時與主要用戶共享帶寬。為瞭更有效地利用頻譜資源,提齣一種容量最優機會榦擾對齊接入算法。在保證主要用戶信道容量的基礎上,認知用戶與主要用戶可以佔用相同的頻帶同時接入網絡,且認知用戶對主要用戶的榦擾為零。所提齣的算法由混閤網絡基站估計信道狀態信息,併計算主要用戶的信道容量和繫統總信道容量。根據容量最優的準則確定預編碼嚮量及解碼嚮量。噹主要用戶的信道容量與未接入認知用戶相比幾乎不下降,且總信道容量大于未接入認知用戶的總容量時,認知用戶以容量最優機會榦擾對齊的方式接入網絡。倣真結果錶明:在相同信道狀態條件下,所提齣的算法較現有算法具有更優的信道容量併可提高認知網絡頻帶利用率。
재전통인지망락중,인지용호지능접입주요용호적공한빈대,이불능동시여주요용호공향대관。위료경유효지이용빈보자원,제출일충용량최우궤회간우대제접입산법。재보증주요용호신도용량적기출상,인지용호여주요용호가이점용상동적빈대동시접입망락,차인지용호대주요용호적간우위령。소제출적산법유혼합망락기참고계신도상태신식,병계산주요용호적신도용량화계통총신도용량。근거용량최우적준칙학정예편마향량급해마향량。당주요용호적신도용량여미접입인지용호상비궤호불하강,차총신도용량대우미접입인지용호적총용량시,인지용호이용량최우궤회간우대제적방식접입망락。방진결과표명:재상동신도상태조건하,소제출적산법교현유산법구유경우적신도용량병가제고인지망락빈대이용솔。
Cognitive users can only access idle bandwidth in traditional cognitive networks, but they cannot share the same bandwidth with the primary user simultaneously. In order to make full use of the spectrum, we propose a capacity optimal opportunistic interference alignment algorithm. By ensuring the channel capacity of primary users, cognitive users and primary users can share the same bandwidth, and the cognitive users cause no interference to the primary user. In the proposed algorithm, the hybrid network base station estimates channel state information and calculates channel capacity. It then determines the pre-coding vectors and decoding vectors according to the capacity optimal rule. Cognitive users access the networks by capacity optimal opportunistic interference alignment when the primary user’s channel capacity almost does not decline and the whole network can still obtain good channel capacity. Simulation results show that the proposed algorithm can obtain greater channel capacity and increase the utilization ratio of spectrum than other existing algorithms under the same condition of channel state information.