提出一种通过最优化网络的目标误包率来降低丢包率的方法. 物理层采用自适应调制编码方式，数据链
路层采用有限长数据缓冲区，并改变了原有网络中固定的目标误包率值. 在不同的网络参数，如网络的信噪比、功
率、带宽、包到达率等条件下，考察网络的丢包率随目标误包率的变化，总结其变化规律，并根据黄金分割法寻找
最佳的目标误包率，使得丢包率达到最小，即网络吞吐量达到最大.
A cross-layer design is developed to reduce the packet loss rate through optimization of the network target PER. Adaptive modulation and coding (AMC) is applied on the physical layer, and a limited data buffer applied on the data link layer to change the fixed target PER of the original network. The network packet
loss rate is studied with the changing target PER beyond different network parameters including the network signal-to-noise ratio, power, bandwidth, and packet arriving rate. The changing rule is then derived. The golden selection method is chosen in search of the optimal target PER to minimize the package loss rate, or equivalently, namely maximize the network throughput.
[1] 程鹏，张朝阳，黄慧，仇佩亮. 结合自适应调制和ARQ的跨层最优联合设计 [J]. 西安电子科技大学学报：自然科学版，2008, 35(1): 171-174.
CHENG Peng, ZHANG Chaoyang, HUANG Hui, Qiu Peiliang. Optimal joint design of adaptive coded modulation and ARQ [J]. Xidian University: Natural Science Edition, 2008, 35(1): 171-174. (in Chinese)
[2] LIU Q, ZHOU S, GIANNAKIS G B. Queuing with adaptive modulation and coding over wireless links:cross-layer analysis and design[J]. IEEE Transactions on Wireless Communications, 2005, 4(3): 1142-1153.
[3] ZHENG K, WANG Y, LEI L, WANG W. Cross-layer queuing analysis on multihop relaying networks with adaptive modulation and coding [J]. IET Communications,2010, 4(3): 295-302.
[4] LIU Qing Wen, ZHOU Sheng Li, GIANNAKIS G B. TCP performance in wireless access with adaptive modulation and coding [C]//IEEE International Conference on Communications, 2004: 3989-3993.
[5] PAKDEHI A, ASHTIANI F. A new cross layer design of adaptive modulation and coding in finite buffer wireless links [J]. Future Generation Communication and Networking, 6-8 Dec, 2007: 499-504.
[6] BAI X, SHAMI A. A new perspective of cross-layer optimization for wireless communication over fading channel [J]. Computer Communications and Networks, 13-16 Aug, 2007: 1-6.
[7] PAKDEHI A, ASHTIANI F. Cross-layer optimization of adaptive modulation and coding preserving packet average delay time[C]//IEEE GLOBECOM, New Orleans, LO, 2008: 1-5.
[8] CHENG Peng, YU Guanding, ZHANG Zhaoyang, JIA Huiling. Cross-layer performance analysis of two-hop wireless links with adaptive modulation [C]//IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications, Helsinki, 2006: 1-5.
[9] 成德峰，马刈非. Ad Hoc网络中基于信道状态的速率自适应机制[J]. 应用科学学报，2008, 26 (1): 18-21.
[10] CHENG Defeng, MA Liufei. A rate adaptation mechanis m based on channel state in Ad Hoc Network [J]. Journal of Applied Sciences, 2008, 26 (1): 18-21. (in Chinese)
[11] JU Honghao, LIANG Ben, LI Jiangdong, LONG Yan, YANG Xiaoniu. Adaptive cross-network cross-layer design in heterogeneous wireless networks [J]. IEEE Transactions on Wireless Communications, 2014, 99(PP): 1-15.
[12] HONG W, NADER M. Finite-state Markov channel-a useful model for radio communication channels [J]. IEEE Transactions on Vehicle Technology, 1995, 44(1): 163-171.
[13] LI C T, WANG J K, HAN Y H. An efficient compressed sensing-based cross-layer congestion control scheme for wireless sensor networks [C]//The 26th Chinese Control and Decision Conference (2014 CCDC), Changsha, China, 2014: 637-641.
[14] JARADAT T, BENHADDOU D, BALAKRISHNAN M, AL-FUQAHA A. Energy efficient cross-layer routing protocol in Wireless Sensor Networks based on fuzzy logic [C]//9th International Wireless Communications and Mobile Computing Conference, Sardinia, 2013: 177-182
[15] LIU Q, ZHOU S, GEORGIOS B. Cross-layer combining of queuing with adaptive modulation and coding over wireless links [J]. IEEE Military Communications Conference, Oct 2003: 13-16
[16] MITRA Abhijit. A PHY-MAC cross layer design for low PER with adaptive modulation and coding[C]//International Workshop on Cognitive Radio (IWCR), Bangalore, 2010:1-5.
