计算机科学 ›› 2019, Vol. 46 ›› Issue (7): 61-66.doi: 10.11896/j.issn.1002-137X.2019.07.009
何英庆,李宁,王聪,陈彦成,徐键卉
HE Ying-qing,LI Ning,WANG Cong,CHEN Yan-cheng,XU Jian-hui
摘要： 在M2M通信中,提高设备的能源效率、延长设备的电池使用寿命是一个关键问题。文中研究了LTE-A网络中M2M上行通信的联合子载波和功率分配的能源效率问题,在保证M2M设备的基本传输时延以及LTE-A上行资源分配约束的前提下,得到资源分配的优化问题;由于直接求解该问题的计算复杂度相当高,因此文中进一步提出一种基于拉格朗日乘数法的子载波和功率分配算法,该算法在降低计算复杂度的同时,能够获得更低的功率消耗以及更高的能源效率。仿真结果表明,所提算法在功率消耗和能源效率方面更接近最优算法。
中图分类号:
| [1]ANDRES-MALDONADO P,AMEIGEIRAS P,PRADOS-GARZON J,et al.Narrowband IoT Data Transmission Procedures for Massive Machine-Type Communications[J].IEEE Network,2017,31(6):8-15. [2]GHAVIMI F,CHEN H H.M2M Communications in 3GPP LTE/LTE-A Networks:Architectures,Service Requirements,Challenges,and Applications[J].IEEE Communications Surveys &Tutorials,2015,17(2):525-549. [3]COOPER V,MOLLA A.Conceptualizing Green IT Organiza- tional Learning (GITOL)[C]∥16th Americas Conference on Information Systems,AMCIS 2010.Lima,Peru,2010. [4]DING Y,REN G,SHI G,et al.China’s National Assessment Report on Climate Change(Summary)[J].World Environment,2007,3(12):1-5. [5]KOUTITAS G.Green network planning of single frequency networks [J].Trans Broadcast IEEE,2010,56(4):541-550. [6]CHEN Y,ZHANG S,XU S,et al.Fundamental trade-offs on green wireless networks[J].Communications Magazine IEEE,2011,49(6):30-37. [7]MYUNG H G,LIM J,GOODMAN D J.Single carrier FDMA for uplink wireless transmission[J].IEEE Vehicular Technology Magazine,2007,1(3):30-38. [8]TSIROPOULOU E E,KAPOUKAKIS A,PAPAVASSILIOU S. Uplink resource allocation in SC-FDMA wireless networks:A survey and taxonomy[J].Computer Networks,2016,96(C):1-28. [9]XIA N,CHEN H H,YANG C S.Radio Resource Management in Machine-to-Machine Communications-A Survey[J].IEEE Communications Surveys & Tutorials,2006,PP(99):1-1. [10]RODOPLU V,MENG T H.Bits-per-Joule Capacity of Energy-Limited Wireless Networks[J].IEEE Transactions on Wireless Communications,2007,6(3):857-865. [11]ZHANG G,LI A,YANG K,et al.Optimal Power Control for Delay-Constraint Machine Type Communications Over Cellular Uplinks[J].IEEE Communications Letters,2016,20(6):1168-1171. [12]RIGAZZI G,PRATAS N K,POPOVSKI P,et al.Aggregation and trunking of M2M traffic via D2D connections[C]∥IEEE International Conference on Communications.IEEE,2015:2973-2978. [13]GHAVIMI F,LU Y W,CHEN H H.Uplink Scheduling and Power Allocation for M2M Communications in SC-FDMA based LTE-A Networks with QoS Guarantees[J].IEEE Transactions on Vehicular Technology,2017,PP(99):1-1. [14]AIJAZ A,TSHANGINI M,NAKHAI M R,et al.Energy-Efficient Uplink Resource Allocation in LTE Networks With M2M/H2H Co-Existence Under Statistical QoS Guarantees[J].IEEE Transactions onCommunications,2014,62(7):2353-2365. [15]ZHANG G,LI A,YANG K,et al.Energy-Efficient Power and Time-Slot Allocation for Cellular-Enabled Machine Type Communications[J].IEEE Communications Letters,2016,20(2):368-371. [16]TANG J,SO D K C,ALSUSA E,et al.Resource Allocation for Energy Efficiency Optimization in Heterogeneous Networks[J].IEEE Journal on Selected Areas in Communications,2015,33(10):2104-2117. [17]TANG J,SO D K C,ZHAO N,et al.Energy Efficiency Optimization with SWIPT in MIMO Broadcast Channels for Internet of Things[J].IEEE Internet of Things Journal,2017,PP(99):1-1. [18]MYUNG H G,LIM J,GOODMAN D J.Single carrier FDMA for uplink wireless transmission[J].IEEE Vehicular Technology Magazine,2007,1(3):30-38. [19]WONG I C,OTERI O,MCCOY W.Optimal resource allocation in uplink SC-FDMA systems[J].IEEE Transactions on Wireless Communications,2009,8(5):2161-2165. [20]ISHEDEN C,FETTWEIS G P.Energy-Efficient Multi-Carrier Link Adaptation with Sum Rate-Dependent Circuit Power[C]∥Global Telecommunications Conference.IEEE,2010:1-6. [21]ORAKZAI F A,AHMAD A,KHAN M T R,et al.Optimal ene- rgy-efficient resource allocation in uplink SC-FDMA networks:ORAKZAI et al[J].Transactions on Emerging Telecommunications Technologies,2017,28(8):e3153. [22]STEPHEN B.Lecture Slides on Class EE364b of Stanford:Ellipsoid Method (Version1.0) [EB/OL].http://www.stanford.edu/class/ee364b/lectures.html. |
| [1] | 于滨, 李学华, 潘春雨, 李娜. 基于深度强化学习的边云协同资源分配算法 Edge-Cloud Collaborative Resource Allocation Algorithm Based on Deep Reinforcement Learning 计算机科学, 2022, 49(7): 248-253. https://doi.org/10.11896/jsjkx.210400219 |
| [2] | 唐枫, 冯翔, 虞慧群. 基于自适应知识迁移与资源分配的多任务协同优化算法 Multi-task Cooperative Optimization Algorithm Based on Adaptive Knowledge Transfer andResource Allocation 计算机科学, 2022, 49(7): 254-262. https://doi.org/10.11896/jsjkx.210600184 |
| [3] | 李梦菲, 毛莺池, 屠子健, 王瑄, 徐淑芳. 基于深度确定性策略梯度的服务器可靠性任务卸载策略 Server-reliability Task Offloading Strategy Based on Deep Deterministic Policy Gradient 计算机科学, 2022, 49(7): 271-279. https://doi.org/10.11896/jsjkx.210600040 |
| [4] | 周天清, 岳亚莉. 超密集物联网络中多任务多步计算卸载算法研究 Multi-Task and Multi-Step Computation Offloading in Ultra-dense IoT Networks 计算机科学, 2022, 49(6): 12-18. https://doi.org/10.11896/jsjkx.211200147 |
| [5] | 邱旭, 卞浩卜, 吴铭骁, 朱晓荣. 基于5G毫米波通信的高速公路车联网任务卸载算法研究 Study on Task Offloading Algorithm for Internet of Vehicles on Highway Based on 5G MillimeterWave Communication 计算机科学, 2022, 49(6): 25-31. https://doi.org/10.11896/jsjkx.211100198 |
| [6] | 胥昊, 曹桂均, 闫璐, 李科, 王振宏. 面向铁路集装箱的高可靠低时延无线资源分配算法 Wireless Resource Allocation Algorithm with High Reliability and Low Delay for Railway Container 计算机科学, 2022, 49(6): 39-43. https://doi.org/10.11896/jsjkx.211200143 |
| [7] | 沈家芳, 钱丽萍, 杨超. 面向集能型中继窄带物联网的非正交多址接入和多维网络资源优化 Non-orthogonal Multiple Access and Multi-dimension Resource Optimization in EH Relay NB-IoT Networks 计算机科学, 2022, 49(5): 279-286. https://doi.org/10.11896/jsjkx.210400239 |
| [8] | 潘燕娜, 冯翔, 虞慧群. 基于自适应资源分配池的竞争合作群协同优化算法 Competitive-Cooperative Coevolution for Large Scale Optimization with Computation Resource Allocation Pool 计算机科学, 2022, 49(2): 182-190. https://doi.org/10.11896/jsjkx.201200012 |
| [9] | 王聪, 魏成强, 李宁, 马文峰, 田辉. 一种H2H和M2M混合场景下的前导码资源动态分配机制 Dynamic Allocation Mechanism of Preamble Resources Under H2H and M2M Coexistence Scenarios 计算机科学, 2021, 48(5): 283-288. https://doi.org/10.11896/jsjkx.200300019 |
| [10] | 李振江, 张幸林. 减少核心网拥塞的边缘计算资源分配和卸载决策 Resource Allocation and Offloading Decision of Edge Computing for Reducing Core Network Congestion 计算机科学, 2021, 48(3): 281-288. https://doi.org/10.11896/jsjkx.200700025 |
| [11] | 徐旭, 钱丽萍, 吴远. 基于移动边缘计算的区块链计算资源分配和收益分享研究 Computation Resource Allocation and Revenue Sharing Based on Mobile Edge Computing for Blockchain 计算机科学, 2021, 48(11): 124-132. https://doi.org/10.11896/jsjkx.201100205 |
| [12] | 刘通, 方璐, 高洪皓. 边缘计算中任务卸载研究综述 Survey of Task Offloading in Edge Computing 计算机科学, 2021, 48(1): 11-15. https://doi.org/10.11896/jsjkx.200900217 |
| [13] | 梁俊斌, 田凤森, 蒋婵, 王天舒. 物联网中多设备多服务器的移动边缘计算任务卸载技术综述 Survey on Task Offloading Techniques for Mobile Edge Computing with Multi-devices and Multi-servers in Internet of Things 计算机科学, 2021, 48(1): 16-25. https://doi.org/10.11896/jsjkx.200500095 |
| [14] | 杨紫淇, 蔡英, 张皓晨, 范艳芳. 基于负载均衡的VEC服务器联合计算任务卸载方案 Computational Task Offloading Scheme Based on Load Balance for Cooperative VEC Servers 计算机科学, 2021, 48(1): 81-88. https://doi.org/10.11896/jsjkx.200800220 |
| [15] | 王国澎, 杨剑新, 尹飞, 蒋生健. 负载均衡的处理器运算资源分配方法 Computing Resources Allocation with Load Balance in Modern Processor 计算机科学, 2020, 47(8): 41-48. https://doi.org/10.11896/jsjkx.191000148 |
|
||
首页