小蜂窩網(wǎng)絡中不活躍用戶的最優(yōu)能量效率資源分配方案
doi: 10.11999/JEIT190303
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重慶郵電大學通信與信息工程學院 重慶 400065
Energy Efficient Resource Allocation Scheme Based on Inactive Users in Small Cell Networks
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College of Communication and Information Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
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摘要:
針對5G網(wǎng)絡中因小區(qū)重疊覆蓋區(qū)域的干擾問題，為緩解密集小蜂窩網(wǎng)絡中移動用戶的業(yè)務連續(xù)性，提高頻譜資源利用率，進而最大化整個網(wǎng)絡平均能量效率問題。該文提出一種基于不活躍用戶的最優(yōu)能量效率資源分配方案(EEI)。首先，該方案依據(jù)不活躍用戶通知區(qū)域，建立以用戶為中心的虛擬小區(qū)，小區(qū)內(nèi)小蜂窩基站可協(xié)作為用戶提供通信服務，提高用戶通信質(zhì)量，緩解小蜂窩同層干擾，減少切換信令開銷。其次，基于Lyapunov優(yōu)化理論，該方案將整體網(wǎng)絡平均能量效率優(yōu)化問題，轉(zhuǎn)換為用戶最優(yōu)傳輸資源分配和最優(yōu)功率分配兩個子問題，在最大化系統(tǒng)平均能量效率同時保證系統(tǒng)隊列穩(wěn)定性。由于該文將原優(yōu)化問題進行了松弛，所得結(jié)果是局部最優(yōu)解，而不是全局最優(yōu)解。仿真結(jié)果表明，該文提出的基于不活躍用戶的最優(yōu)能量效率資源分配算法，其系統(tǒng)能量效率優(yōu)于對比算法而計算復雜度較高。
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關(guān)鍵詞:
- 無線通信 /
- 能量效率 /
- 用戶移動性 /
- 小區(qū)虛擬化技術(shù) /
- Lyapunov優(yōu)化 /
- 不活躍用戶
Abstract:Considering the interference problem of overlapping areas of cells, the service continuity of mobile users and the utilization of spectrum resources in the 5G network, an Energy Efficient resource allocation scheme for the Inactive user(EEI) is proposed. Firstly, a user-centered virtual cell is generated based on the notification area of the inactive users, and the intra-cell next-generation NodeBs (gNBs) could cooperatively provide communication services for users to improve the communication quality, lower the inter-cell interference, and reduce the handover signaling overhead. Secondly, Lyapunov optimization method is used to maximize the energy efficiency of the network, while ensuring the stability of the data queue. To make the optimization problem tractable, the scheme is decomposed into two sub-problems: the optimal transmission resource allocation and optimal transmission power allocation. Notice that, the optimal solutions are local optimal, which are based on the relaxed optimization problem. The simulation results show that the proposed energy efficiency resource allocation scheme based on the inactive users could achieve a better performance than the comparison algorithms,in the price of higher computational complexity.
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算法1：最優(yōu)傳輸資源分配算法(OTRA) 1. 初始化${G_k}$, ${R_m}$，令$k = \left\{ {1,2,···,K} \right\}$, $N = \left\{ {1,2,···,N} \right\}$, $s = \left\{ {1,2,···,M} \right\}$, $i = K$。 2. 每個用戶分配一個RB，為用戶構(gòu)造一個3維信道增益矩陣${{H}}'\left( {K,N,M} \right)$ (1).遍歷信道增益矩陣${{H}}$，找到最大值${h_{k,n,m}}$, ${G_k} = {G_k} + \left\{ m \right\}$, ${R_m} = {R_m} + \left\{ n \right\}$，更新$k = k - \left\{ k \right\}$, $N = N - \left\{ n \right\}$; (2).刪除${{H}}\left( {k,N,M} \right)$, ${{H}}\left( {:,n,:} \right)$，更新$i = i - 1$，返回(1); (3).直到${\left| N \right|_{\rm re}} = N - K$, ${\left| S \right|_{\rm re}} = M - x\,$ $(1 \le x \le M)$, $i = 0$。 3. 分配RB給剩余的gNB，基于步驟1，構(gòu)造一個新的3維信道增益矩陣${{H}}'\left( {K,N - K,M - x} \right)$ (1).遍歷矩陣${{H}}'$，找到最大值$h{'_{k',n',m'}}$, ${G_{k'}} = {G_{k'}} + \left\{ {m'} \right\}$, ${R_{m'}} = {R_{m'}} + \left\{ {n'} \right\}$，更新${N_{\rm re}} = {N_{re}} - \left\{ {n'} \right\}$, ${S_{\rm re}} = {S_{\rm re}} - \left\{ {m'} \right\}$; (2).刪除${{H}}'\left( {:,n',:} \right)$, ${{H}}'\left( {:,:,m'} \right)$，更新${\left| S \right|_{\rm re}} = M - x - 1$，返回(1); (3). 直到${\left| N \right|_{\rm re}} = N - K - M + x$, ${\left| S \right|_{\rm re}} = 0$。 4. 分配剩余的RB給用戶，構(gòu)造3維信道增益矩陣${H''}\left( {K,N - K - M + x,M} \right)$ (1).遍歷矩陣${H''}$，找到最大值${h''_{k'',n'',m''}}$, ${R_{m''}} = {R_{m''}} + \left\{ {n''} \right\}$，更新${N_{{\rm{re}}}} = {N_{{\rm{re}}}} - \left\{ {n''} \right\}$; (2).刪除${H''}\left( {:,n''',:} \right)$，更新${\left| N \right|_{{\rm{re}}}} = N - K - M + x - 1$; (3).直到${\left| N \right|_{{\rm{re}}}} = 0$。 5. 算法結(jié)束 
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