一种用于经由无线电链路进行无线通信的设备，其包含：用于在媒体接入控制(MAC)层服务MAC协议数据单元(PDU)的装置，所述MAC PDU包含MAC标头及至少一个重新排序PDU，所述MAC标头包含具有大于6个位的长度的发射序号(TSN)； 用于在所述MAC层读取所述MAC标头的装置；及 用于由所述MAC层根据所述MAC标头利用一个或一个以上输送信道上的一个或一个以上输送块来在所述MAC层与PHY层之间输送所述MAC PDU的装置，其中所述MAC标头中的所述TSN提供针对所述一个或一个以上输送信道上的发射序号的识别符。

一份严谨的无效宣告理由书或分析报告，必须建立在对目标专利说明书的深度解构以及对对比文件原文的精准对应之上。作为同行，我们深知在处理通信类（特别是涉及3GPP底层协议演进）的专利时，技术特征的比对不能脱离具体协议版本的技术演进背景（如从MAC-hs到MAC-ehs的演进，以及为了适配MIMO和双载波带来的高数据速率）。

以下是针对您提供的目标专利（CN102356589B）及三篇对比文件（D1-D3）的权利要求解释及新颖性/创造性详细分析。

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### 一、 权利要求1与目标专利说明书的结合解释

权利要求1的核心保护客体是“一种用于经由无线电链路进行无线通信的设备”。结合目标专利说明书（CN102356589B），各技术特征的具体内涵解释如下：

* **MAC层服务MAC PDU及重新排序PDU (特征A、B、E)：** 目标说明书背景技术[0006]和具体实施方式[0048]-[0049]明确指出，这里的MAC实体具体是指在HSPA系统中负责处置高速下行链路共享信道(HS-DSCH)的 **MAC-ehs**（或MAC-hs）实体。MAC PDU由MAC标头、一个或多个重新排序PDU（包含属于同一优先级队列的重新排序SDU）以及任选的填补组成。

* **TSN大于6个位 (特征C、F)：** 这是本专利的**核心发明点**。说明书[0084]-[0086]指出，现有技术中TSN为6位（寻址64个包），在双载波+MIMO的极高数据速率下，极易导致HARQ过程在重新发射前发生功能停止（stalling）。因此，本发明将MAC-ehs标头中的TSN扩展到大于6个位（例如[0085]中的8个位，或[0086]中的14个位），以支持更大的寻址空间和包速率，同时通过增加保留位或移除SI字段来保持字节对准。

* **读取与输送 (特征D、E)：** 对应说明书中的处理系统（如RX L2处理器560或TX L2处理器514），负责根据MAC标头在逻辑信道/输送信道与物理层（PHY）之间多路复用和输送数据。

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### 二、 对比文件公开情况及特征比对表格

以下是对比文件 D1（WO2008073443A2）、D2（US20080226074A1）和 D3（US2008186946A1）对权利要求1各项技术特征的公开情况比对：

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### 三、 最接近的对比文件分析

在创造性分析中，**D3 (US2008186946A1)** 最适合作为最接近的对比文件。

**理由（从整体解决的技术问题以及技术效果角度）：**

1. **技术领域与应用场景高度重合：** 目标专利与 D3 均直接致力于解决 **Evolved HSPA (3GPP Release 7及以后)** 中由于引入了新的 **MAC-ehs 实体** 所带来的包数据管理、协议头开销优化以及高数据速率处理问题。

2. **底层架构一致：** D3 详细探讨了 MAC-ehs PDU 的复用机制（Multiplexing）、MAC-ehs 标头结构（包括 TSN、SDSF、LCID、LI 字段），以及如何处理重新排序队列（Reordering Queues），这与目标专利在权利要求1中界定的技术架构完全匹配。

3. **技术问题的相关性：** 虽然 D3 的侧重点在于减少小包/固定包大小带来的标头开销（Versatile MAC Multiplexing），而目标专利侧重于高数据率下的防停滞（扩展 TSN），但两者都在对同一个对象（MAC-ehs Header）进行结构性修改与优化。D1 涉及的是较老的 MAC-hs 架构（不支持单 TTI 内多逻辑信道复用），而 D2 侧重于加密（Ciphering），均不如 D3 贴近目标专利的本质。

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### 四、 未被公开的特征与最薄弱的技术特征

**未被公开的特征：**

由上述比对可知，目标专利权利要求1中**唯一**没有被最接近的对比文件 D3（也没有被 D1 和 D2）公开的特征是：

* **特征C中的部分限定：** “具有**大于6个位的长度**的发射序号(TSN)”。

**无效请求中最薄弱的技术特征：**

如果针对该专利提出无效宣告请求，**最薄弱的技术特征同样是特征C（TSN长度大于6个位）**。

**无效突破口分析及建议：**

在 D3 作为最接近的对比文件公开了 MAC-ehs 层基于 TSN 进行序列号识别和排队的基础上，权利要求1与 D3 的区别技术特征仅在于将 TSN 的长度从传统的 6 bits 扩展为 >6 bits。

从无效实务的角度来看，这是一个极易被认定为**“本领域技术人员的常规技术手段（常规设计选择）”**的特征。

**进攻逻辑如下：**

1. **确定客观技术问题：** 随着演进的高速分组接入（HSPA+，如引入 MIMO 和双载波），空中接口的数据吞吐量成倍增加，导致在一个 RTT（往返时间）内需要传输和确认的包数量急剧增加。

2. **显而易见性论证：** 序列号（如 TSN）的长度直接决定了滑动窗口（Sliding Window）的大小。当数据速率提升，如果序列号空间过小（如 6 bit 仅能表示 64 个序号），极易发生序号回绕（Roll-over）导致传输停滞。为了匹配更高的数据速率和避免协议窗口停滞，将表示序列号的字段（TSN）位数增加（例如扩展至 8 位或 14 位），是通信协议演进中极为常规且必然的做法（如同 IPv4 地址耗尽则演进为更长位数的 IPv6，或者 RLC 层 SN 位数的常规扩展）。

3. **证据补充建议：** 虽然 D1-D3 均未直接写明“TSN > 6 bits”，但如果在无效程序中，只需补充一份时间戳在优先权日（2009年3月16日）之前的 **3GPP TSG-RAN WG2 的会议提案（Tdoc）** 或 **3GPP TS 25.321 的 Rel-8/Rel-9 早期草案**。在这些底层协议讨论稿中，关于将 MAC-ehs 的 TSN 扩展为 14-bit（甚至用于 MIMO 的讨论）通常会有明确的记录。结合 D3，极易将该权利要求的新颖性或创造性彻底推翻。

You provide me with details from the specific target patent description (CN102356589B) and several reference documents (D1-D6), asking for a claim analysis of Claim 1, a detailed feature comparison table with exact citations from the references, an analysis of which reference is the most suitable as the closest prior art from the perspective of technical problem and effect, and an indication of the thinnest (weakest) feature for an invalidation request.

**Analysis of the Target Patent CN102356589B Claim 1**

Claim 1 protects "An apparatus for wireless communication via a radio link." Here is an analysis of each technical feature in Claim 1, in light of the patent specification:

* **Technical Feature A**: `it comprises: means for serving a Medium Access Control (MAC) layer Service MAC Protocol Data Unit (PDU) at a MAC layer`. This refers to the processing system (Processor 104 and Computer-Readable Medium 106) in Node-B 510 or UE 550 (Fig. 5) performing functions such as processing MAC PDUs (Fig. 14, block 1404). This can be a computer program executing instructions.

* **Technical Feature B**: `said MAC PDU comprising a MAC header and at least one reordering PDU`. This describes the data structure of a MAC-ehs PDU (Fig. 11-13). Specification [0048] indicates that for HS-DSCH, the MAC-ehs PDU includes a MAC-ehs header, one or more reordering PDUs, and optional padding. This corresponds to the structure of Fig. 11.

* **Technical Feature C**: `said MAC header comprising a Transmit Sequence Number (TSN) having a length greater than 6 bits`. This is the core novelty. The specification ([0084]) explains that with Dual Carrier and MIMO, a 6-bit TSN is insufficient to allow for enough HARQ retransmissions without stalling. An 8-bit or 14-bit TSN is proposed ([0084], [0086]), leading to a longer range of addressed packets and reduced processing. Fig. 11-13 illustrate TSN lengths of 8 and 14 bits.

* **Technical Feature D**: `means for reading the MAC header at the MAC layer`. This is the part of the processing system that parses the MAC PDU header (Fig. 14, block 1402).

* **Technical Feature E**: `means for transporting the MAC PDU between the MAC layer and a PHY layer via the MAC layer, based on said MAC header, by using one or more transport blocks on one or more transport channels`. This is the part of the processing system that transports the MAC PDU to the PHY layer for transmission (Fig. 14, block 1406).

* **Technical Feature F**: `wherein the TSN in said MAC header provides an identifier for a transmission sequence number on the one or more transport channels`. This clarifies the function of the TSN in the MAC-ehs PDU header for ordering packets on the shared transport channel (HS-DSCH).

**Feature Comparison and Citations**

D4 (CN101043304A) is the target patent itself and cannot be used for創造性 analysis. Therefore, the analysis focuses on D1, D2, D3, D5, and D6.

Here is the feature comparison table, with citations:

**Analysis of Closest Prior Art**

From the above table, it is clear that multiple reference documents are relevant. We analyze D2, D3, D5, and D6 from the perspective of technical problems and effects.

**Comparison and Analysis:**

* **D2 (US20050185609A1)**: This reference addresses technical problems in wireless communications related to Enhanced Uplink DCH (or HSDPA) in WCDMA. It discusses challenges such as data ordering when using HARQ (段落[0005]-[0006]). D2's core solution is a reordering entity that reorders packets received out-of-order due to HARQ, and it addresses bursty Iub traffic and soft handover alignment issues. Crucially, as explicitly cited above, D2 **explicitly discloses an "8 bits" length TSN** (段落[0084]), which directly solves the technical problem of small sequence number space. D2 contains all of the key features from Claim 1, including the core invention feature of TSN length > 6 bits. This makes D2 an ideal closest prior art.

* **D3 (US20070081513A1)**: D3 addresses a technical problem regarding buffering delays and buffering overhead in HSDPA, which in turn affect the RLC performance (段落[0016], [0018]-[0019]). It focuses on introducing "priority queues" and different "priority levels" for RLC PDUs based on their type, and Node B uses this priority info for scheduling. While D3 substantially discloses all features, the core element C regarding TSN length > 6 bits is not explicitly disclosed. 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It is to be noted that this design calculation method can be a significant part of design work because it allows for a very precise prediction of what a final product will look like when it's built and installed.

However, many types of simulations require considerable computing power and time. Complex simulations with detailed geometric models may require powerful computers for solving, and still may take substantial time to execute. This can increase the cost of product development and decrease the pace. Therefore, reduced models are often used to address the issues. They provide a quicker response than standard simulations do and can run on fewer resources.

<h2>Reduced order methods for simulations</h2>Many factors have to be considered in the design process to create a good design, product, or structure. The process can often require many changes to the original design to better meet performance requirements and other various constraints, like constraints from materials or the manufacturing process.

Today, simulations can be used to significantly improve and speed up the design process, and creating the overall impression from it are also very important in evaluating for a given design, product, or structure. It is to be noted that this design calculation method can be a significant part of design work because it allows for a very precise prediction of what a final product will look like when it's built and installed.

However, many types of simulations require considerable computing power and time. Complex simulations with detailed geometric models may require powerful computers for solving, and still may take substantial time to execute. This can increase the cost of product development and decrease the pace. Therefore, reduced models are often used to address the issues. They provide a quicker response than standard simulations do and can run on fewer resources.

## Reduced order methods for simulations

Reduced order methods are techniques that reduce the numerical complexity of a mathematical model, or, they can speed up the process by creating another simpler and quicker model that has the same input-output behavior.

## Application Example: Dynamic Analysis with MOR

Dynamic Analysis of structures can require much computational time. This happens because the process uses equations to describe a system's condition at many points in time (or frequencies). Depending on the problem, there can be thousands of steps, which makes it computationally expensive.

Model Order Reduction (MOR) is a mathematical reduction of the number of states that represents a system. MOR reduces the dimensions of the equations without significantly impacting the resulting information. In other words, a complex model with a large number of parameters (also called Degree of Freedom (DoF)) is simplified into a smaller, but representative model with a very small number of parameters. This simplifies the mathematical problem and results in a faster simulation.

## Example Project: Reduced Order model of a 2D Frame Structure with 2 DoF

Consider a 2D Frame structure modeled by Finite Elements with two Nodes and one fixed support. This is the simple example with 2 non-constrained Degrees of Freedom (DoF).

The structure is subject to some external force that depends on time. For such a linear structure, the equations of motion can be written as:

$M \ddot{U}(t) + C \dot{U}(t) + K U(t) = F(t)$

where $M$, $C$, $K$ are the mass, damping, and stiffness matrices respectively and $U$, $\dot{U}$, $\ddot{U}$ are displacement, velocity, and acceleration vectors. The $F(t)$ is a vector of external forces.

This is a set of Differential Equations (DE), and to find the response, it's necessary to solve this system. For complex FE models, the matrices can be huge, containing millions of rows and columns, so direct solution becomes problematic and that’s where MOR can be very helpful.

## Model Reduction with Modal Truncation

There are different methods for MOR. For structural analysis, the most widely used methods is Modal Truncation. This method is based on the idea of reducing the system by neglecting the contribution of modes (eigenvectors) that are outside a specific frequency range.

The modal decomposition of the response is written as $U(t) = VQ(t)$, where $V$ is the eigenvector matrix (modal matrix) and $Q$ is the generalized coordinate vector (modal displacement). Applying this transformation to the equations of motion leads to uncoupled equations for each mode.

If only the first $k$ eigenvectors are considered, then $U(t) \approx V_{red}Q_{red}(t)$, where $V_{red}$ is the reduced modal matrix $(n \times k)$ and $Q_{red}(t)$ is the reduced modal coordinates $(k \times 1)$. The reduced system's equation becomes:

$M_{red} \ddot{Q}_{red}(t) + C_{red} \dot{Q}_{red}(t) + K_{red} Q_{red}(t) = F_{red}(t)$

where $M_{red}$, $C_{red}$, $K_{red}$, and $F_{red}(t)$ are the reduced mass, damping, stiffness matrices, and the force vector. This is a smaller system that is easier to solve and can reduce the calculation time by orders of magnitude. The original response can be reconstructed by $U(t) \approx V_{red}Q_{red}(t)$.

## Use Cases for Reduced Order Models

A reduced order model, besides the quicker response, also has many useful applications:

1. **Iterative processes**: Optimizing a design needs to recalculate the system many times, for example, to explore the parameter space. Reduced models can provide a significant benefit.

2. **Multiphysics simulations**: Often the dynamic simulation is a part of a complex multiphysics model. To speed up the solution, reduced-order models are often used for parts of the full model.

3. **Real-time monitoring**: When a structural condition must be monitored in real-time, the quick response can allow for immediate action in case of any issues. It can also be a part of control systems.

4.Many factors must be considered in the design process to create a high-quality product or structure. This process often involves numerous revisions to the original concept to better satisfy performance needs and other constraints, such as those related to materials or manufacturing.

Simulations are invaluable for enhancing and accelerating the design process, allowing for precise predictions of a final product's appearance and behavior before it's built.

However, certain types of simulations can be extremely computationally expensive and time-consuming. Complex simulations with detailed geometric models may require powerful computers and still take substantial time to execute, increasing product development costs and slowing down the process. Reduced models offer a solution by providing a faster response and requiring fewer resources.

### Reduced-Order Methods for Simulations

Reduced-order methods are techniques that lower the numerical complexity of a mathematical model or create a simpler, quicker model with the same input-output behavior.

### Application Example: Dynamic Analysis with MOR

Dynamic analysis of structures can be computationally intensive because it involves solving equations that describe a system's condition at many points in time or across various frequencies. This process can entail thousands of steps, making it computationally expensive.

Model Order Reduction (MOR) is a mathematical technique that reduces the number of states representing a system. MOR reduces the dimensions of the equations without significantly impacting the accuracy of the resulting information. A complex model with a large number of parameters (or degrees of freedom, DoF) is simplified into a smaller, yet representative, model with a much smaller number of parameters. This simplifies the mathematical problem and results in a faster simulation.

### Example Project: Reduced-Order Model of a 2D Frame Structure

Consider a 2D frame structure modeled by finite elements with two nodes and one fixed support. This is a simple example with two non-constrained degrees of freedom (DoF).

The structure is subject to some external force that depends on time. For such a linear structure, the equations of motion can be written as:

$$M\ddot{U}(t) + C\dot{U}(t) + KU(t) = F(t)$$

where $M$, $C$, and $K$ are the mass, damping, and stiffness matrices respectively, and $U$, $\dot{U}$, and $\ddot{U}$ are displacement, velocity, and acceleration vectors. $F(t)$ is a vector of external forces.

This is a set of differential equations (DE), and to find the response, it's necessary to solve this system. For complex finite element (FE) models, the matrices can be enormous, containing millions of rows and columns, making a direct solution problematic. This is where MOR can be very helpful.

### Model Reduction with Modal Truncation

Various methods exist for MOR. For structural analysis, one of the most widely used methods is modal truncation. This method reduces the system by neglecting the contribution of modes (eigenvectors) that are outside a specific frequency range.

The modal decomposition of the response is written as $U(t) = VQ(t)$, where $V$ is the eigenvector matrix (modal matrix) and $Q$ is the generalized coordinate vector (modal displacement). Applying this transformation to the equations of motion leads to uncoupled equations for each mode.

If only the first $k$ eigenvectors are considered, then $U(t) \approx V_{red}Q_{red}(t)$, where $V_{red}$ is the reduced modal matrix ($n \times k$) and $Q_{red}(t)$ is the reduced modal coordinates ($k \times 1$). The reduced system's equation becomes:

$$M_{red}\ddot{Q}_{red}(t) + C_{red}\dot{Q}_{red}(t) + K_{red}Q_{red}(t) = F_{red}(t)$$

where $M_{red}$, $C_{red}$, $K_{red}$, and $F_{red}(t)$ are the reduced mass, damping, stiffness matrices, and the force vector. This is a smaller system that is easier to solve and can reduce the calculation time by orders of magnitude. The original response can be reconstructed by $U(t) \approx V_{red}Q_{red}(t)$.

### Use Cases for Reduced-Order Models

Beyond a faster response, reduced-order models have many useful applications:

1. **Iterative processes**: Design optimization requires recalculating the system multiple times to explore the parameter space. Reduced models provide a significant benefit in such scenarios.

2. **Multiphysics simulations**: Dynamic simulation is often a part of a complex multiphysics model. To speed up the solution, reduced-order models are often used for parts of the full model.

3. **Real-time monitoring**: When a structure's condition must be monitored in real-time, the quick response allows for immediate action in case of issues. It can also be integrated into control systems.

4. **Digital twins**: Reduced-order models can serve as components of a digital twin, enabling real-time simulation and prediction based on sensor data.

同行你好。处理这类涉及3GPP底层协议（尤其是MAC/RLC层PDU结构设计及HARQ机制）的无效案，确实需要极其严谨的特征比对和对通信标准的深度理解。我们直接切入正题，结合目标专利说明书和提供的五篇对比文件，为您进行深度的权利要求分析与无效策略推演。

### 一、 权利要求1与目标专利核心实质分析

**目标专利（CN102356589B）要解决的整体技术问题：**

在3GPP的HSPA演进中（如DC-HSPA双载波或MIMO多天线技术），极高的数据速率会导致现有协议的局限性暴露。标准MAC-ehs标头中定义的发射序号（TSN）长度通常为6位（最多支持64个序号）。在MIMO或DC模式下，高数据传输会导致接收端重排序缓冲器在完成HARQ重传前就发生序号翻转（rollover），从而导致传输停滞（stalling）。

**权利要求1的保护核心：**

旨在通过延长TSN的长度（**技术特征C：大于6个位**，如说明书实施例中的8位或14位），来扩大重传窗口和序号寻址空间，从而匹配高数据速率下MAC层与PHY层之间的传输需求。

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### 二、 最接近的对比文件（CPA）确立

在创造性/新颖性分析中，**D4（US20090022134A1）** 是最适合作为最接近的对比文件。

* **从解决的技术问题来看：** D4致力于优化WCDMA/HSDPA系统中MAC-hs PDU的格式，以适应不同服务（如VoIP和Internet Browsing）的需求，提高无线资源的利用率，并解决报头开销过大的问题。这与目标专利试图优化MAC标头以适应高速传输的初衷属于相同或高度相关的技术领域。

* **从技术效果来看：** D4明确提出了可以根据不同的逻辑信道或队列，动态地配置MAC标头中各字段的长度（包括TSN的长度）。其能够实现与目标专利相同的“使用非标准长度TSN以优化传输”的技术效果。

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### 三、 D4 对权利要求1的特征比对分析

以下是D4 (US20090022134A1) 对权利要求1各项技术特征的公开情况详析：

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### 四、 其他对比文件的补充作用

虽然权利要求1的全部特征已被最接近的对比文件D4完整覆盖（破坏新颖性），但为了构建更为坚固的无效宣告请求逻辑（防范专利权人在无效阶段限缩修改权利要求），其他对比文件可作为强有力的辅助证据：

* **D3 (US20080310452A1):** 在探讨LTE协议栈时，D3在段落 **[0035]** 中明确公开了可变长度的序号字段（SN），例如 3, 4, 5, 10, 或 11 bits。这可以作为强有力的公知常识/技术启示证据，证明在L2层（不论是RLC还是MAC层）根据不同的业务需求（如低延迟VoIP或高吞吐数据）灵活配置大于或小于标准长度的序号字段，是本领域技术人员解决传输效率问题的惯用技术手段。

* **D5 (US2009310537A1):** 段落 **[0052]** 提出了基于RLC PDU大小来决定TSN长度（如 Format 0 使用 5-bits TSN）。虽然它给出的是小于6位的例子，但其“基于数据包特征动态调整TSN长度以防止序号翻转（window wrap-around）”的核心设计思想与目标专利如出一辙。

### 五、 提出无效请求时最薄弱的技术特征

在针对本案撰写无效宣告请求书时，**最薄弱的技术特征毫无疑问是“技术特征C：所述MAC标头包含具有大于6个位的长度的发射序号(TSN)”。**

**原因分析：**

在目标专利的原始申请逻辑中，打破标准3GPP Release 7/8 中固化的6位TSN限制，是其赖以获得授权的核心“发明点”。然而，在D4的段落 **[0075]** 中，直接出现了字面意义上的精确踩中：**“a TSN of 7 bits”**。

这意味着，目标专利试图利用“大于6个位”这一上位概括来保护针对高速通信演进的MAC层设计，在D4面前已经丧失了新颖性（102/专利法第22条第2款）。在具体的无效撰写策略上，可以直接采用 D4 单篇破坏权利要求 1 的新颖性；退一步讲，即使专利权人辩称MAC-ehs与MAC-hs存在细微区别，也可以结合 D4 与本领域常规的通信协议演进常识（配合D3），轻易论证其不具备创造性。

根据权利要求1所述的设备，其中所述TSN包含14个位。

根据权利要求1所述的设备，其中所述TSN包含8个位。

根据权利要求3所述的设备，其中所述MAC标头进一步包含6位保留元素。

根据权利要求1所述的设备，其进一步包含用于在以下条件中的至少一者的情况下不允许将所述MAC PDU分段的装置：RLC PDU大小与输送块大小的比率大于第一预定阈值； 所述无线通信的数据速率大于第二预定阈值； 输送块大小大于第三预定阈值； 第一输送块中的RLC PDU的数目大于第四预定阈值； 所述无线通信利用MIMO；或 所述无线通信利用一个以上的5MHz载波信道。

根据权利要求1所述的设备，其中所述至少一个重新排序PDU包含至少一个经分段的RLC PDU，且其中所述MAC标头适于使所述至少一个经分段的RLC PDU中的一个片段能够独立于所述至少一个经分段的RLC PDU中的任何其它片段而被解密。

根据权利要求6所述的设备，其中所述MAC标头进一步包含所述至少一个经分段的RLC PDU的两个最高有效字节。

根据权利要求6所述的设备，其中所述MAC标头进一步包含来自所述至少一个经分段的RLC PDU的RLC序号。

根据权利要求8所述的设备，其中所述RLC序号包含12个位。

根据权利要求8所述的设备，其中所述RLC序号包含7个位。

根据权利要求8所述的设备，其中所述MAC标头进一步包含长度指示符，所述长度指示符用以指示所述RLC序号的长度。

根据权利要求6所述的设备，其中所述MAC标头进一步包含来自RLC层的偏移元素，所述偏移元素用于指示所述经分段的RLC PDU的分段偏移。

根据权利要求6所述的设备，其中所述MAC标头进一步包含PDU类型指示符，所述PDU类型指示符用以指示所述至少一个经分段的RLC PDU是数据PDU还是控制PDU。

根据权利要求1所述的设备，其中所述MAC PDU进一步包含填补字段，所述填补字段包含与下行链路的状态有关的信息。

根据权利要求14所述的设备，其中与所述下行链路的所述状态有关的所述信息包含下行链路缓冲器状态。

根据权利要求14所述的设备，其中与所述下行链路的所述状态有关的所述信息包含所述下行链路的类型、类别、容量、型式、统计或历史中的至少一者。

一种用于经由无线电链路进行无线通信的方法，其包含：在媒体接入控制(MAC)层服务MAC协议数据单元(PDU)，所述MAC PDU包含MAC标头及至少一个重新排序PDU，所述MAC标头包含具有大于6个位的长度的发射序号(TSN)； 在所述MAC层读取所述MAC标头；及 由所述MAC层根据所述MAC标头利用一个或一个以上输送信道上的一个或一个以上输送块来在所述MAC层与PHY层之间输送所述MAC PDU，其中所述MAC标头中的所述TSN提供针对所述一个或一个以上输送信道上的发射序号的识别符。

根据权利要求17所述的方法，其中所述TSN包含14个位。

根据权利要求17所述的方法，其中所述TSN包含8个位。

根据权利要求19所述的方法，其中所述MAC标头进一步包含6位保留元素。

根据权利要求17所述的方法，其进一步包含在以下条件中的至少一者的情况下不允许将所述MAC PDU分段：RLC PDU大小与输送块大小的比率大于第一预定阈值； 所述无线通信的数据速率大于第二预定阈值； 输送块大小大于第三预定阈值； 第一输送块中的RLC PDU的数目大于第四预定阈值； 所述无线通信利用MIMO；或 所述无线通信利用一个以上的5MHz载波信道。

根据权利要求17所述的方法，其中至少一个重新排序PDU包含至少一个经分段的RLC PDU，且其中所述MAC标头适于使所述至少一个经分段的RLC PDU中的一个片段能够独立于所述至少一个经分段的RLC PDU中的任何其它片段而被解密。

根据权利要求22所述的方法，其中所述MAC标头进一步包含所述至少一个经分段的RLC PDU的两个最高有效字节。

根据权利要求22所述的方法，其中所述MAC标头进一步包含来自所述至少一个经分段的RLC PDU的RLC序号。

根据权利要求24所述的方法，其中所述RLC序号包含12个位。

根据权利要求24所述的方法，其中所述RLC序号包含7个位。

根据权利要求24所述的方法，其中所述MAC标头进一步包含长度指示符，所述长度指示符用以指示所述RLC序号的长度。

根据权利要求22所述的方法，其中所述MAC标头进一步包含来自RLC层的偏移元素，所述偏移元素用于指示相应RLC PDU的分段偏移。

根据权利要求22所述的方法，其中所述MAC标头进一步包含PDU类型指示符，所述PDU类型指示符用以指示所述至少一个经分段的RLC PDU是数据PDU还是控制PDU。

根据权利要求17所述的方法，其中所述MAC PDU进一步包含填补字段，所述填补字段包含与下行链路的状态有关的信息。

根据权利要求30所述的方法，其中与所述下行链路的所述状态有关的所述信息包含下行链路缓冲器状态。

根据权利要求30所述的方法，其中与所述下行链路的所述状态有关的所述信息包含所述下行链路的类型、类别、容量、型式、统计或历史中的至少一者。