Optimal Scalar Linear Index Codes for Some Symmetric Multiple Unicast Problems

نویسندگان

  • Mahesh Babu Vaddi
  • Roop Kumar Bhattaram
  • B. Sundar Rajan
چکیده

Abstract—The capacity of symmetric instance of the multiple unicast index coding problem with neighboring antidotes (sideinformation) with number of messages equal to the number of receivers was given by Maleki, Cadambe and Jafar in [1]. In this paper we consider ten symmetric multiple unicast problems with lesser antidotes than considered in [1] and explicitly construct scalar linear codes for them. These codes are shown to achieve the capacity or equivalently these codes shown to be of optimal length. Also, the constructed codes enable the receivers use small number of transmissions to decode their wanted messages which is important to have the probability of message error reduced in a noisy broadcast channel [8], [10]. Some of the cases considered are shown to be critical index coding problems and these codes help to identify some of the subclasses considered in [1] to be not critical index coding problems. 1

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Lifting Construction for Scalar Linear Index Codes

This paper deals with scalar linear index codes for canonical multiple unicast index coding problems where there is a source with K messages and there are K receivers each wanting a unique message and having symmetric (with respect to the receiver index) antidotes (side information). Optimal scalar linear index codes for several such instances of this class of problems have been reported in [9]...

متن کامل

Reduced Dimensional Optimal Vector Linear Index Codes for Index Coding Problems with Symmetric Neighboring and Consecutive Side-information

A single unicast index coding problem (SUICP) with symmetric neighboring and consecutive side-information (SNCS) has K messages and K receivers, the kth receiver Rk wanting the kth message xk and having the side-information Kk = {xk−U , . . . , xk−2, xk−1} ∪ {xk+1, xk+2, . . . , xk+D}. The single unicast index coding problem with symmetric neighboring and consecutive side-information, SUICP(SNC...

متن کامل

On the Broadcast Rate of Index Coding Problems with Symmetric and Consecutive Interference

A single unicast index coding problem (SUICP) with symmetric and consecutive interference (SCI) has K messages and K receivers, the kth receiver Rk wanting the kth message xk and having interference Ik = {xk−U−m, . . . , xk−m−2, xk−m−1}∪ {xk+m+1, xk+m+2, . . . , xk+m+D} and side-information Kk = (Ik∪xk) . In this paper, we derive a lowerbound on the broadcast rate of single unicast index coding...

متن کامل

Optimal Index Codes via a Duality between Index Coding and Network Coding

In Index Coding, the goal is to use a broadcast channel as efficiently as possible to communicate information from a source to multiple receivers which can possess some of the information symbols at the source as side-information. In this work, we present a duality relationship between index coding (IC) and multiple-unicast network coding (NC). It is known that the IC problem can be represented...

متن کامل

Near-Optimal Vector Linear Index Codes For Single Unicast Index Coding Problems with Symmetric Neighboring Interference

A single unicast index coding problem (SUICP) with symmetric neighboring interference (SNI) has equal number of K messages and K receivers, the kth receiver Rk wanting the kth message xk and having the side-information Kk = (Ik ∪ xk) , where Ik = {xk−U , . . . , xk−2, xk−1} ∪ {xk+1, xk+2, . . . , xk+D} is the interference with D messages after and U messages before its desired message. Maleki, ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • CoRR

دوره abs/1510.05435  شماره 

صفحات  -

تاریخ انتشار 2015